HAFS 심화영어독해 · 이소라 쌤
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심화영어독해 중간 — 수업자료 정리본

이소라(Sora) · 2학년 2학기 중간 (Guardian 3지문)

Guardian 기사 3편 · 3편 모두 출제 범위
지문·어휘·구문·문단 요약·수업 Discussion/Motion·서술형 근거 총정리
🔴 서술형 = Algorithm · personal taste (선생님 예고)

📑 목차

A1
A1. AI labels to be compulsory on authentic-looking content under EU rules
EU AI Act 투명성 규칙 · 라벨 대상/책임/워터마크/예외/벌금 · label fatigue(cookie banner)
A2
A2. ‘Have I been influenced, or is this actually me?’ How personal taste fell out of fashion
🔴 서술형 출제 지문 · personalization vs personal choice · 트렌드와 개성 · algorithmic sameness·AI · authentic taste
A3
A3. Do you take hours to make a simple decision? You may have Fobo
Fobo 정의 · Fomo 와 차이 · Patrick McGinnis · Maximiser/Satisficer · 2011 연구 결론
📌 노트 맨 위 메모(원문 그대로): 서술형은 Algorithm, personal taste 관련하여 나온다고 함
시험 형식은 2025 기준 가정(선택형 20문항 60점 + 서답형 2문항 40점) — 2026 실제 문항 수·배점은 미확인.
Reading A1 · The Guardian 2026-07-31 | AI & Regulation

AI labels to be compulsory on authentic-looking content under EU rules

EU AI 라벨 의무화 — 진짜처럼 보이는 AI 콘텐츠에 표시·워터마크를 의무화한 EU AI Act 투명성 규칙

📖 지문 (Passage)

원문: SR.pdf 추출본(_Sora_중간_원문소스.md). 노란 표시 = 출제 핵심 문장. ¶ 번호는 PDF 줄바꿈 기준으로 나눈 문단(원문 문단과 다를 수 있음).
수업 노트의 출처 표기(원문 그대로): AI labels to be compulsory on authentic-looking content under EU rules https://www.theguardian.com/technology/2026/jul/31/ai-labels-to-be-compulsory-on-authentic-looking-content-under-eu-rules

¶1From apparently conspiring to steal elections to abusing staff or performing embarrassing dance moves, the last few years have seen plenty of fake content made about politicians intended to malign its targets and mislead the public. Now EU rules aim to stem the flood of this deceptive content: starting from Sunday, artificially generated images, audio and text designed to look authentic must be labelled. The rules, devised under the EU’s landmark AI Act, mean companies must ensure people know when they are interacting with an AI-powered chatbot or viewing a manipulated image or AI-generated text.

¶2The rules apply to new AI systems on the EU market from 2 August, while existing ones have an extra four months to comply. “It is a matter not only of customer protection, it’s also a matter of democracy protection,” the Green MEP Sergey Lagodinsky, who helped negotiate the AI Act, told the Guardian. “Making transparent this information is something which we need to preserve our democracy and the authenticity of facts online.” Under the rules, synthetic text, images, video and audio designed to look truthful must be visibly marked as AI-generated and contain a digital watermark to show the artificial origins of the content. Texts on matters of public interest must also be labelled as AI-made if there is no human editorial oversight. Companies are encouraged to label AI-generated content pre-dating the rules, although this is not compulsory. The rules will not apply to users’ personal content and there is an exemption for “evidently artistic”, satirical and fictional works. Failure to comply could result in fines of up to €15m (£12.8) or 3% of a company’s worldwide global turnover. The EU executive has created black-and-white labels anyone can use, although companies can design their own.

¶3Deepfakes have included audio purporting to reveal the Slovakian opposition leader Michal Šimečka conspiring with a journalist to rig elections, mocked-up videos of the French president, Emmanuel Macron, dancing in a 1980s nightclub, and fake footage of the then UK Labour leader, Keir Starmer, abusing party staff. The tech industry says it supports the quest to make deepfakes visible, but fears the rules will be interpreted too broadly and overwhelm internet users with banners and labels. The Computer and Communications Industry Association argues that EU guidelines published in July have expanded the definition of a deepfake far beyond the 2024 AI Act. “The label was meant to flag deceptive content,” said CCIA Europe’s AI policy lead, Boniface de Champris. “That distinction has been removed, so now almost everything gets labelled – a landscape in an advert is the same as a manipulated political speech. Like cookie banners, once labels are everywhere, users stop noticing them. That doesn’t protect anyone, it just burdens commercial activity across the board.” He thinks the most visible change for the public will not be on social media, which “already labels most AI content” but “in areas where AI is already used at scale but people don’t know it – advertising, film, publishing”. “Expect a lot more labels in sectors not usually associated with AI, and the burden will fall hardest on those least versed in AI regulation,” De Champris said.

¶4Some of the world’s largest tech companies already have policies designed to inform users about AI-generated content. TikTok, for example, says it requires creators to label realistic AI-generated images, audio and video, and that it has helped label more than 3bn pieces of content. However, recent research has shown that AI-generated doctors are gaining millions of views on TikTok by spreading dubious health advice. Google launched a tool called SynthID in 2023, which enables users to check if an image is AI-generated. The company says it has put an invisible digital watermark, which enables identification, on more than 100bn images and 60,000 years’ worth of audio. Google and Meta, which owns Facebook and Instagram, have signed a voluntary code of practice intended to help companies comply with the EU’s AI transparency rules. The European Commission said more than 180 organisations had signed the code, which was drawn up by independent experts under the supervision of the EU AI office. Signing the code is seen by regulators as a sign of good intent, while non-signatories must show they are meeting the rules in other ways. Meta launched policies in 2024 to help people identify AI-generated photo-realistic images. It says it has been developing industry-wide technical standards to identify AI audio and video.

¶5Announcing Meta’s intention to sign the EU code of practice earlier this week [28 July], its vice-president for public policy in Europe, Markus Reinisch, said: “We must avoid a situation where online content is subject to a growing array of different labels and disclosures that end up overwhelming people, while at the same time adding additional regulatory complexity for providers.” Lagodinsky, the EU lawmaker, said he believed the industry could find a way: “I have a deep respect for industry, but in all too many cases, they complain, and … then after things are implemented, it doesn’t look that burdensome to them. And there is always a solution.”

¶6The transparency rules are part of broader enforcement of the AI Act, starting from 2 August. The commission’s lead official on tech policy, Henna Virkkunen, said AI was a “transformative technology” that could bring “extraordinary benefits” but the most advanced models “create risks on an entirely new scale”. “Europe anticipated this development. With the AI Act, we established a clear, risk-based and durable framework for trustworthy AI — one that gives innovators legal certainty while protecting the public interest.”

🔑 핵심 어휘 (Vocabulary)

malignv.비방하다, 해를 끼치다intended to malign its targets and mislead the public
misleadv.오도하다, 속이다malign its targets and mislead the public
stemv.(흐름을) 막다, 저지하다EU rules aim to stem the flood of this deceptive content
deceptiveadj.기만적인, 속이는The label was meant to flag deceptive content
authentic-lookingadj.진짜처럼 보이는AI labels to be compulsory on authentic-looking content
compulsoryadj.의무적인, 강제의although this is not compulsory
devisev.고안하다, 만들어 내다The rules, devised under the EU’s landmark AI Act
landmarkadj.획기적인, 기념비적인the EU’s landmark AI Act
complyv.(규칙을) 준수하다existing ones have an extra four months to comply
syntheticadj.합성된, 인공의synthetic text, images, video and audio designed to look truthful must be visibly marked as AI-generated
watermarkn.워터마크(출처 식별 표시)contain a digital watermark to show the artificial origins of the content
editorial oversightn.편집상의 감독(사람의 검토)if there is no human editorial oversight
pre-datev.~보다 먼저 존재하다label AI-generated content pre-dating the rules
exemptionn.면제, 적용 제외there is an exemption for “evidently artistic”, satirical and fictional works
satiricaladj.풍자적인“evidently artistic”, satirical and fictional works
turnovern.매출액3% of a company’s worldwide global turnover
purportv.~이라고 (거짓으로) 주장하다, ~인 척하다audio purporting to reveal the Slovakian opposition leader
rigv.(선거 등을) 조작하다conspiring with a journalist to rig elections
mocked-upadj.가짜로 꾸며 만든mocked-up videos of the French president
overwhelmv.압도하다, 질리게 하다overwhelm internet users with banners and labels
burdenv./n.부담을 지우다 / 부담it just burdens commercial activity across the board
across the boardphr.전반적으로, 일괄적으로it just burdens commercial activity across the board
versed inadj.~에 정통한, 익숙한those least versed in AI regulation
dubiousadj.의심스러운, 수상한spreading dubious health advice
code of practicen.실천 규범(행동 강령)have signed a voluntary code of practice
non-signatoryn.(협약) 비서명자non-signatories must show they are meeting the rules in other ways
disclosuren.공개, 고지a growing array of different labels and disclosures
transformativeadj.변혁적인AI was a “transformative technology”
legal certaintyn.법적 확실성(예측 가능성)gives innovators legal certainty while protecting the public interest

📐 구문 포인트

📐 원문 문장으로 보는 구문
  1. “the last few years have seen plenty of fake content made about politicians intended to malign its targets and mislead the public”
    무생물(시간) 주어 + see: ‘지난 몇 년은 ~을 보았다’ → ‘지난 몇 년 동안 ~이 많았다’. 과거분사구 made about politicians 와 intended to ~ 가 모두 fake content 를 뒤에서 수식.
  2. “artificially generated images, audio and text designed to look authentic must be labelled”
    긴 주어 = 명사(images, audio and text) + 과거분사구(designed to look authentic) 후치수식. 본동사는 must be labelled(조동사 수동태). 주어 끝을 찾는 문제로 출제 가능.
  3. “mean companies must ensure people know when they are interacting with an AI-powered chatbot”
    접속사 that 이중 생략: mean (that) companies must ensure (that) people know … / when 이하는 know 의 목적어인 의문사절(간접의문문).
  4. “audio purporting to reveal the Slovakian opposition leader Michal Šimečka conspiring with a journalist to rig elections”
    현재분사구 purporting to ~ 가 audio 를 수식. reveal + 목적어(the … leader Michal Šimečka) + 현재분사(conspiring) — 목적어가 ‘~하고 있음’을 드러내다. leader 와 Michal Šimečka 는 동격.
  5. “Like cookie banners, once labels are everywhere, users stop noticing them”
    once = 접속사 ‘일단 ~하면’. stop + -ing(~하는 것을 멈추다) vs stop + to-v(~하기 위해 멈추다) 구분. Like cookie banners 는 비교의 전치사구.
  6. “the burden will fall hardest on those least versed in AI regulation”
    those (who are) least versed in ~ : 「관계대명사 + be」 생략, those = ‘~한 사람들’. least 는 versed 를 수식하는 최상급 부사.
  7. “Google and Meta, which owns Facebook and Instagram, have signed a voluntary code of practice”
    삽입된 계속적 용법 관계절: which 의 선행사는 Meta(단수) → owns. 문장 주어는 Google and Meta(복수) → have signed. 수일치 함정.
  8. “Signing the code is seen by regulators as a sign of good intent, while non-signatories must show they are meeting the rules in other ways”
    동명사 주어(Signing the code) → 단수 동사 is. be seen as ~ (~로 여겨지다, see A as B 의 수동). while = 대조 ‘반면에’.

📝 문단별 요약

  1. ¶1 정치인을 겨냥한 가짜 콘텐츠(선거 조작 음모·직원 학대·민망한 춤)가 넘쳐 왔다. EU AI Act 규칙에 따라 일요일부터 진짜처럼 보이도록 만든 AI 이미지·오디오·텍스트에 라벨이 의무화되고, 기업은 사람들이 AI 챗봇과 대화 중이거나 조작 이미지·AI 텍스트를 보고 있음을 알게 해야 한다.
  2. ¶2 적용 시점: 신규 AI 시스템 8월 2일부터, 기존 시스템은 4개월 추가 유예. Sergey Lagodinsky(녹색당 MEP): 소비자 보호이자 민주주의 보호. 내용: 가시적 AI 표시 + 디지털 워터마크 / 사람의 편집 감독 없는 공익 텍스트도 라벨 / 규칙 이전 콘텐츠는 권장(의무 아님) / 개인 콘텐츠·명백한 예술·풍자·허구 작품은 예외 / 위반 시 최대 €15m 또는 전 세계 매출 3% 벌금 / EU 흑백 라벨 제공(자체 디자인 가능).
  3. ¶3 딥페이크 사례: Michal Šimečka 선거 조작 음모 오디오, Macron 1980년대 나이트클럽 춤 영상, Keir Starmer 당 직원 학대 영상. 업계는 취지에는 찬성하나 과도한 해석·라벨 홍수를 우려. CCIA Europe 의 Boniface de Champris: 7월 지침이 deepfake 정의를 2024 AI Act 훨씬 너머로 넓혀 ‘기만’ 구분이 사라졌고, cookie banner 처럼 라벨이 어디에나 있으면 아무도 보지 않는다 — 보호 없이 부담만. 가장 큰 변화는 소셜미디어가 아니라 광고·영화·출판, 부담은 AI 규제에 가장 덜 익숙한 쪽에.
  4. ¶4 대형 테크 기업의 기존 정책: TikTok(제작자에게 라벨 요구, 30억 건 이상 라벨 — 그러나 AI 의사가 의심스러운 건강 조언으로 수백만 조회), Google SynthID(2023, 1,000억 장 이상 이미지·6만 년 분량 오디오에 보이지 않는 워터마크). Google·Meta 는 자발적 실천 규범에 서명(서명 기관 180곳 이상). 서명 = 선의의 신호, 비서명자는 다른 방식으로 준수 입증. Meta 는 2024년 정책 도입·업계 기술 표준 개발 중.
  5. ¶5 Meta 의 Markus Reinisch(7월 28일): 라벨·고지가 계속 늘어 사람들을 압도하고 사업자의 규제 복잡성까지 키우는 상황은 피해야 한다. Lagodinsky: 업계는 늘 불평하지만 시행되고 나면 그리 부담스러워 보이지 않으며, 해법은 항상 있다.
  6. ¶6 투명성 규칙은 8월 2일부터 시작되는 AI Act 확대 집행(broader enforcement)의 일부. EU 집행위 기술정책 책임자 Henna Virkkunen: AI 는 ‘변혁적 기술’로 ‘비상한 이익’을 줄 수 있으나 최첨단 모델은 전혀 새로운 규모의 위험을 만든다 — 위험 기반의 명확하고 지속 가능한 틀로 혁신가에게 법적 확실성을 주며 공익을 보호.

🎯 노트 6 질문 — 정답 정리

what content must be labeled?
진짜처럼(사실처럼) 보이도록 만든 AI 생성 이미지·오디오·텍스트·영상. 즉 ‘authentic/truthful 하게 보이도록 설계된’ 합성 콘텐츠.
“artificially generated images, audio and text designed to look authentic must be labelled”
“synthetic text, images, video and audio designed to look truthful must be visibly marked as AI-generated”
who is responsible?
기업(companies). 사람들이 AI 챗봇과 상호작용 중인지, 조작된 이미지·AI 텍스트를 보고 있는지 알 수 있게 보장할 책임. 대상은 EU 시장의 AI 시스템(신규 8월 2일, 기존 +4개월).
“companies must ensure people know when they are interacting with an AI-powered chatbot or viewing a manipulated image or AI-generated text”
“The rules apply to new AI systems on the EU market from 2 August”
what additional technological measure is required?
디지털 워터마크 — 눈에 보이는 AI 표시와 별도로, 콘텐츠의 인공적 출처를 보여 주는 기술적 표시를 담아야 한다.
“contain a digital watermark to show the artificial origins of the content”
what public-interest content may require labeling?
공익 사안(matters of public interest)에 관한 텍스트 — 사람의 편집 감독(human editorial oversight)이 없을 때 AI 제작으로 라벨.
“Texts on matters of public interest must also be labelled as AI-made if there is no human editorial oversight”
what are the exceptions?
① 이용자의 개인 콘텐츠(personal content) ② ‘명백히 예술적인(evidently artistic)’·풍자·허구 작품. (참고: 규칙 이전에 만든 AI 콘텐츠의 라벨은 권장일 뿐 의무 아님)
“The rules will not apply to users’ personal content and there is an exemption for “evidently artistic”, satirical and fictional works”
“Companies are encouraged to label AI-generated content pre-dating the rules, although this is not compulsory”
what are the possible penalties?
최대 €15m 또는 기업 전 세계 매출(worldwide global turnover)의 3% 벌금. (원문 괄호 표기는 “(£12.8)” 그대로 — 단위 m 누락은 원문 상태)
“Failure to comply could result in fines of up to €15m (£12.8) or 3% of a company’s worldwide global turnover”

💬 수업 Discussion / Motion

💬 노트 원문 그대로 + 답변 포인트·찬반 근거 (이소라 쌤 수업 노트)

① 개념 선택 활동

Choose the concept they consider most important when consuming information online and explain why. → Trust / Freedom / Protection
“Making transparent this information is something which we need to preserve our democracy and the authenticity of facts online”
“It is a matter not only of customer protection, it’s also a matter of democracy protection”
“there is an exemption for “evidently artistic”, satirical and fictional works”

② Motion 토론

⚖️ Motion: “AI labels should be required whenever AI generated content looks authentic.”
→ choose Agree / Disagree / not sure
Agree 근거 2
  1. 딥페이크는 선거·정치 지도자를 겨냥해 민주주의를 위협 — 진짜처럼 보이면 표시해야 속지 않는다.
    “audio purporting to reveal the Slovakian opposition leader Michal Šimečka conspiring with a journalist to rig elections”
  2. 기존 자율 라벨로는 부족: TikTok 에서 AI 의사가 의심스러운 건강 조언으로 수백만 조회.
    “AI-generated doctors are gaining millions of views on TikTok by spreading dubious health advice”
Disagree 근거 2
  1. 라벨이 어디에나 붙으면 cookie banner 처럼 아무도 보지 않아 보호 효과가 사라진다(label fatigue).
    “Like cookie banners, once labels are everywhere, users stop noticing them”
  2. ‘기만’ 여부 구분 없이 붙이면 광고 속 풍경과 조작된 정치 연설이 같아지고, 부담은 규제에 가장 덜 익숙한 쪽에 떨어진다.
    “a landscape in an advert is the same as a manipulated political speech”
Not sure 측 근거: 원칙(투명성)에는 찬성하지만 ‘whenever’ 는 범위가 넓다 — 원문 규칙도 개인 콘텐츠·예술·풍자·허구를 예외로 둔다.

③ Label fatigue (cookie banner 비교)

Focus on the article’s comparison between ubiquitous AI labels and cookie banners. Students explain the meaning of ‘label fatigue’ and connect it to their own experiences with online warnings, sponsored content, notifications or advertisements.
What does ‘label fatigue’ mean?
“Like cookie banners, once labels are everywhere, users stop noticing them. That doesn’t protect anyone, it just burdens commercial activity across the board.”
Have you experienced something similar?
If everything is labeled, does the label become meaningless?
“now almost everything gets labelled”
“And there is always a solution.”
Is more information always better?
“a growing array of different labels and disclosures that end up overwhelming people”
“Making transparent this information is something which we need to preserve our democracy”

④ Proposition vs Opposition

Proposition: AI generated content can deceive people; people need transparency; labels can protect democracy and public trust.
“mocked-up videos of the French president, Emmanuel Macron, dancing in a 1980s nightclub”
“It is a matter not only of customer protection, it’s also a matter of democracy protection”
Opposition: Not all AI-generated content is harmful or deceptive; too many labels may create label fatigue; broad regulation may create unnecessary burdens.
“The label was meant to flag deceptive content”
“the burden will fall hardest on those least versed in AI regulation”
“adding additional regulatory complexity for providers”

🧭 서술형 연결 — Algorithm · personal taste 에 쓸 근거 문장

  1. label fatigue ↔ algorithmic fatigue(A2): ‘너무 많으면 무감각해진다’
    “Like cookie banners, once labels are everywhere, users stop noticing them”
  2. 정보 과잉이 판단을 압도(A2 ‘소화 못 할 만큼의 양’, A3 선택 과잉과 연결)
    “a growing array of different labels and disclosures that end up overwhelming people”
  3. authenticity 를 지키는 장치 — A2 의 ‘authentic taste’ 와 대비
    “preserve our democracy and the authenticity of facts online”
  4. AI 콘텐츠의 규모(A2 71%·slop 과 연결)
    “more than 100bn images and 60,000 years’ worth of audio”
  5. 알고리즘이 의심스러운 콘텐츠를 키움(A2 clipping 과 연결)
    “AI-generated doctors are gaining millions of views on TikTok by spreading dubious health advice”
Reading A2 · The Guardian 2026-06-14 | Culture & Technology

‘Have I been influenced, or is this actually me?’ How personal taste fell out of fashion

개인 취향의 몰락 — 알고리즘 피드가 ‘내가 좋아하는 것’을 만드는 시대, 진짜 취향은 어떻게 되찾나

📖 지문 (Passage)

원문: SR.pdf 추출본(_Sora_중간_원문소스.md). 노란 표시 = 출제 핵심 문장. ¶ 번호는 PDF 줄바꿈 기준으로 나눈 문단(원문 문단과 다를 수 있음).
수업 노트의 출처 표기(원문 그대로): ‘Have I been influenced, or is this actually me?’ How personal taste fell out of fashion · https://www.theguardian.com/media/2026/jun/14/have-i-been-influenced-personal-taste-out-of-fashion-algorithm?

¶1What are you into? What floats your boat? What music, films, clothes, art, books – anything, really – do you actually like? Do you find these questions more difficult to answer than you would have done 10 years ago? How about 20? You do? You’re not alone. It has become impossible to ignore: personal taste has been seriously debased – if not completely destroyed – by technological advancement. We know the internet has radically altered the way we form our opinions and beliefs. Now we’re waking up to another sobering truth: it has wrecked our capacity to form our own preferences. It used to go something like this. We experienced the outside world – including arts, culture and fashion – via a combination of community, geography, mass and specialist media, and serendipitous accidents. Exposed to a range of styles, genres and ideas, we would decide what appealed to us, and then attempt (with varying degrees of success) to consume and engage with those things.

¶2This is no longer the case. We increasingly encounter most aspects of the world through a single aperture: streaming and social media platforms. Or, more specifically, the algorithmic feeds of streaming and social media platforms, plus algorithmically optimised search engines and e-commerce sites, from Amazon to Vinted. In many cases, these are programmed to show each individual specific content based on data gathered from their own activities and those of other users – content that will ideally keep them on the platform for as long as possible. On Spotify, that can mean serving customers songs with superficial similarities to the tracks they didn’t skip last time; on Instagram, it might result in multiple appearances from an influencer whose videos have previously held our attention for a couple of minutes. We now experience reality via a limitless stream of content tailored around previous preferences.

¶3It’s a bewildering paradox: these platforms made personalisation a major part of their business model, then synthesised, commodified and automated individual taste into oblivion. We no longer choose what we want to consume; we take what we’re given. And we are being given it in such overwhelming quantities that we no longer have the mental capacity to properly digest and assess what we have encountered. It’s not merely the medium; it’s the message, too. In his 2024 book Filterworld, Kyle Chayka explains that because content that is “accessible” and “ambient” is most conducive to uninterrupted scrolling, “the least ambiguous, least disruptive and perhaps least meaningful pieces of culture are promoted the most” by algorithms.

¶4This is not a new phenomenon, but years of living like this have started to take their toll. I began noticing that it was affecting me at some point last year. Scrolling through reams of overtly nostalgic clothes, skipping through playlists of forgettably inoffensive pop and beholding endless promotional campaigns for films and TV shows indebted to existing IP, I felt zero enthusiasm for any of it. Consumer trends – from childlike wall art to splatter ceramics, mesh ballet flats to bandanas, Dubai chocolate to putting cottage cheese in everything – seemed to become inescapable overnight, buoyed by the algorithm and reaching tedious saturation point before I had even had the chance to decide what I thought of them (that said, I did make time to reconfirm my longstanding conviction that cottage cheese tastes like sick). For the first time since childhood, I had the disconcerting sensation of having no clue what it was I really liked.

¶5Perhaps I’m spending too much time on my phone. Perhaps I’m just getting old. To find out, I decide to step back in time and into the real world: to Portobello Road market in west London, to be precise – the place I spent hours and hours honing my own personal taste in the pre-algorithmic age (the mid-to-late 2000s). Alongside my unreasonably stylish school friend Lara, I would hunt for unusual secondhand things nobody else was wearing but that could just about pass for cool in a mainstream way. It was a creative challenge that I generally failed at, and my main hobby for most of my teenage years. I haven’t been back in a decade, so I’m heartened to discover it all completely unchanged: stalls of antique cameras and chintzy royal ceramics, of faded band T-shirts and cricket jumpers and mountains of tangled silver jewellery, plus a fair few rails of the kind of peculiar vintage items that it turns out still thrill me. It seems like a world immune to the algorithm-abetted taste crisis – until I start talking to stallholders and shoppers, all of whom describe a herd mentality among their customers and peers.

¶6Over the eight years she has had her vintage clothing business, Kerry has noticed a significant uptick in younger generations “wanting to fit in – they want to look like they belong”. It’s a concept she finds strange: she started vintage shopping as a teenager when she “couldn’t bear the thought of stepping out and looking like someone else”. Stephanie, 37, is visiting from California and searching for 1930s slip dresses. She sees her friends at home “wearing the exact same outfit – it’s very interesting to me because it takes away that personal aspect of your dressing”. Even if you do want to plough your own furrow, algorithm-sating fashion fads confuse matters. Helena, a 25-year-old stylist, is bored with the endless parade of microtrends. “They come around all the time and it’s always something that’s been done before. I hate when I see something that’s my vibe being turned into a microtrend – I’m, like, have I been influenced or is this actually me?”

¶7Ione Gamble has spent much of her career thinking about taste. In 2014, she founded Polyester, an alternative fashion and culture publication that uses the John Waters quote “Have faith in your own bad taste” as its tagline. Nowadays, “we’re always being told what to like and what not to like rather than being able to seek it out for ourselves”, she says. “It’s making us all feel powerless – we don’t have the power to train our own taste because there’s not the room in the day any more.” Recently, Gamble invited a selection of writers to muse on the subject for an essay collection titled The Polyester Book of (Bad) Taste. In her chapter, the novelist Nicola Dinan writes about feeling like “a driverless car” when it comes to her cultural consumption in today’s landscape. I can’t think of a better analogy. This sorry state of affairs has been broadly tolerated. However, this year has provided us with two pop cultural moments that neatly illustrate that the mood could be souring.

¶8First, there’s the ascension of Carolyn Bessette Kennedy – who died alongside her husband, John F Kennedy Jr, in a 1999 plane crash – to 2026’s number one fashion icon. The New Yorker’s neutral, distinctively pared-back, turn-of-the-millennium style has long served as a fount of inspiration online, but when the biopic TV series Love Story aired in February, it catapulted her outfits to ubiquity. Cue blanket media coverage on how to imitate her dress sense in the most literal way imaginable: Marks & Spencer promoted its “90s edit” by dressing a Bessette Kennedy lookalike in small sunglasses and monochrome outfits to recreate paparazzi images. Vogue even provided a checklist: boot-cut jeans, tortoiseshell headband, camel skirt … It reminded me of being 14 and scouring the rails of Topshop for something I could imagine Kate Moss wearing. Except nowadays no scouring or imagination is required; the e-commerce algorithms will sort you out in milliseconds.

¶9“CBK-core” is one of a catalogue of intense crazes fashion revolves around while maintaining a baseline of nondisruptive monotony (see also: the relentless churn of TikTok aesthetics – tomato girl, balletcore, coastal grandmother – that codify taste in a juvenile but also very risk-averse way). Yet the fact this particular trend had an actual person at its centre highlights how far into adolescent copy catting we have drifted – something Bessette Kennedy’s friend Carole Radziwill has pointed out. “She did what felt natural to her,” she told a podcast, claiming the appropriation of her style was “irritating […] The takeaway is not to mimic her style. The takeaway is to do and wear what feels most authentic to you.”

¶10But working out what feels authentic to us has become very difficult since we subcontracted out those instincts – and left them wide open to corporate manipulation. Last year, a young guitar band began gaining a lot of attention on both sides of the Atlantic. Yet the hype around New York outfit Geese was so extreme and pervasive that some people began to suspect they were a music industry “plant”. Not without justification, it turned out. In March, it was revealed that Geese (alongside acts including Alex Warren, Sombr and Zara Larsson) had made use of the marketing services of a firm called Chaotic Good Projects, whose founders half-jokingly claim to have studied TikTok algorithms at “collegiate level”. To help tracks go viral, Chaotic Good runs a huge number of social media accounts, which post content soundtracked by its clients’ songs in order to synthesise virality – a tactic it calls “trend simulation”.

¶11Of course, cultivated excitement is one of the bedrocks of the music industry; acts don’t usually become popular through a groundswell of organic sentiment. Yet until a couple of months ago, many of us were under the impression that online popularity was at least partly a reflection of genuine interest and enjoyment. Wrong. In May, the New York magazine writer Lane Brown explained the art of “clipping” – stealth advertising campaigns that involve paying members of the public to flood social media with content about a specific musician, say, or TV show. This can trick the algorithm into detecting widespread enthusiasm and therefore promoting the product further (among many others, the writer found evidence for campaigns related to the singer-songwriter Noah Kahan and Netflix thriller The Night Agent). One person in the industry estimated that “90% of what you see on the internet is advertising in disguise”.

¶12The reason Geese’s use of algorithm-gaming marketing garnered so much interest was – I suspect – because for many people becoming a fan of the band had proven they were still able to feel genuine zeal for sophisticated, slightly subversive new music. By which I mean they might have felt tricked into believing they still had good taste. This is probably a good moment to define what taste is and explain why it matters. On one level, it is extremely simple: it’s what you like and what you don’t. Taste can be superficial – in fact, it’s often a joyfully frivolous act (preferring one jumper to another, for example) – but it is also right at the core of our identities. Taste isn’t just your takeaway order, the comedy that tickles you or what you call your children; in her seminal 1964 essay Notes on Camp, Susan Sontag sets out taste’s all-encompassing nature. “There’s taste in people, visual taste, taste in emotion […] Intelligence, as well, is really a kind of taste – a taste in ideas.” It is crucial for making art, not just consuming it. Taste, Sontag writes, “governs every free – as opposed to rote – human response”.

¶13Some of these responses will be pre-programmed. Taste is shaped by class and background. There is also a strong social element: buying a specific model of car or going to a particular gig is often nothing more than a way of signifying that you belong – or want to belong – to a certain group. This was the argument put forward by the French sociologist Pierre Bourdieu in his 1979 work Distinction: A Social Critique of the Judgement of Taste – a theory that now seems so obvious it’s barely worth stating. (For an excellent visualisation of interior design taste in the British class system, see Grayson Perry’s 2012 tapestry series The Vanity of Small Differences.) To flout or subvert stylistic codes you have to be fluent in them – and the higher up the class structure you sit, the more latitude you have to do so. Think of the lord of the manor free to indulge his sartorial eccentricities versus uniformed blue-collar workers. In theory, though, anyone can break the rules; the most experimental dressing in the 20th century came from grassroots subcultures such as punk and the New Romantics.

¶14In an ideal world, personal taste is a privilege and a pleasure we should all have – it is the closest thing most of us get to self-expression or a creative act. At best, we can use it to consolidate our identities. It involves commitment and consistency (the opposite to all those microtrends) and some element of risk: knowing the things you like won’t appeal to everyone. “Taste, when it’s successful, is a tool to make you feel more like yourself,” says Gamble. If you dismiss taste as trivial, or see it as purely imitative, you are dismissing what it is to be a person.

¶15And yet, perplexingly, one of the ways the internet destroyed personal taste was by prioritising it above anything else. By making taste – at least the most passive yet performative version of it – our defining quality, streaming and social media platforms boiled humanity down to data-producing nodes of consumption. Nathalie Olah’s book Bad Taste examines the politics of taste in the 2010s. In it, she writes about how middlebrow millennial “good” taste – muted colours, expensive candles, pot plants, coffee-shop coffees – became an online performance of capability and authority amid post-2008 financial precarity. We had little economic capital, but we had the supposed cultural capital of curating our lives, tastefully, on social media. It was a neoliberal con – and proof that being reduced purely to our tastes is just as dehumanising as having none.

¶16On that front, it’s bad news: tech bros are the architects of our destinies and they have big taste‑based plans for humanity. In February, OpenAI’s president, Greg Brockman, posted on X that “taste is a new core skill”. He was echoing the sentiments of his former colleague Krithika Shankarraman, who last year told an interviewer that “taste is going to become a distinguishing factor in the age of AI”. Taste, the thinking goes, is the one human quality artificial intelligence will not be able to replicate. The concept of personal taste being a “moat” – a tech‑world term meaning a unique structural advantage that protects a company’s profitability – has taken root across the board.

¶17In fact, Silicon Valley’s sudden interest in taste goes way beyond such pronouncements. Tech companies are increasingly attempting to align themselves with current ideas of good taste: the spy tech firm Palantir released a blue chore jacket; the AI company Anthropic produced caps embroidered with the word “thinking” (in all lowercase); while OpenAI’s merch includes football shirts and hipster-coded graphic hoodies. It is also muscling in on old-school gatekeepers. Exhibit A: Jeff Bezos’s involvement in May’s Met Gala – high fashion’s biggest night of the year – which saw the Amazon boss and his wife pay a reported $10m to serve as “honorary chairs” (and therefore VIP guests). Meta CEO Mark Zuckerberg was also present, fresh from sitting in the front row at Prada’s Milan show in February. Why is this happening? In a March column for the New Yorker, Chayka referred to this as “taste-washing” – an attempt to make our AI-dominated future more palatable. “To me, Silicon Valley’s use of taste is just PR or a marketing effort that gives them a veneer of humanity to hide automation behind,” he tells me.

¶18It’s no coincidence that this obsession with taste is happening at a time when AI content is dominating our feeds. It is estimated that about 71% of the images shared online are now AI-generated, as are more than a third of podcasts, while last year Spotify removed 75m AI tracks. While such content may seem novel, it will only take us further down the same path. “I see generative AI as a successor to algorithmic sameness,” says Chayka. “Algorithms encouraged humans to produce generic content, while AI just generates the generic content right away. Now we call that kind of generic content ‘slop’. So the patterns are still there, and we often are consuming AI content through the same algorithmic feeds. It remains a vicious cycle.”

¶19That driverless car we’re currently in? The wheels are falling off and it’s heading straight for the nearest AI swamp. Algorithms are dropping the pretence of being digital tastemakers and now often present us with content that appeals insidiously to our “primal instincts”, says Gamble. AI phenomena such as Fruit Love Island (the reality show fictionalised, with fruit) “is really colourful. It uses all the specific plot devices to hook you in. It’s basically content that’s tailored for eyeballs, not even enjoyment.” In The End of Taste, the final chapter of her book, Gamble writes that “we’re entering a new era in which good and bad taste is no longer a barometer worth thinking about”. But perhaps there’s an off-ramp for this nightmare. Carmen Vicente, a social media strategist in the tech world who writes a newsletter about the internet titled Scroll Sick, thinks the motivation “ultimately underpinning all of this taste-washing is fear – fear of losing power”. Tech bosses are trying to up their cultural capital and convince humans there is still meaning online because they can see a more unwelcome trend on the horizon. To reclaim our personal tastes (and cultural standards) we must abandon algorithm-driven platforms. And we kind of already are: the big worry for tech bosses is that social media use is only going in one direction. According to the Financial Times, time spent on social media peaked in 2022; a recent Ofcom survey showed a 12% drop in people posting on platforms in the past year. There are a few reasons for this, but one of them is algorithmic fatigue. “There’s plenty of backlash to algorithmic feeds,” says Chayka. “The active user base of Facebook has begun declining and I think platforms like Instagram and Spotify are now seen as less influential, creative or original than a few years back.”

¶20There are corners of the internet that are delivering on this front. The rise of short-form interview formats such as Dream Baby Press’s Love/Hate Lists and Perfectly Imperfect, which ask celebrities and creative people to name their favourite things – the more random and unpredictable, the better (film-maker Mary Bronstein recommending The Young Ones; music producer Danny L Harle waxing lyrical about tinned fried dace) – tap into a thirst for idiosyncratic, un-optimised, genuinely human preferences. Perfectly Imperfect (tagline: A taste of taste) was founded in 2020 by Tyler Bainbridge, who has said he “was growing frustrated with algorithms starting to define everyone’s tastes”. In 2024, he launched his own algorithm-free social media site, PI.FYI. Advertised as a rejection of “the AI-slop-filled dystopia of today”, it shares users’ recommendations in chronological order; to log on is to be faced with a list of unfiltered and very random cultural endorsements (during a brief browse of the music feed, I saw posts enthusing about tracks by Baha Men, 1990s German rave outfit Dune, and Siouxsie and the Banshees). With only 200,000 customers, PI.FYI is niche in itself – but the film recommendation site Letterboxd, which scratches a similar itch, has about 26 million.

¶21In his book, Chayka predicts a splintering of the internet into smaller independent platforms as this decade’s response to the distortion of algorithmic feeds. Two years on, he thinks “decentralisation is definitely here in the form of newsletter culture and Patreon-style crowdfunding models”. Newsletters – probably not coincidentally – tend to be centred on human taste: many feature recommendations of clothes, books, journalism, restaurants and other products. But are they really an antidote to algorithm-abetted shilling? In truth, this varies massively, from deeply researched, ad-free examples such as the food publication Vittles and The Browser, which finds the best online articles, to newsletters that publish sponsored posts and make ample use of affiliate links, meaning they get compensated when a reader buys a product they endorse. “The recommender economy can be great because you can find someone whose taste you really admire or aligns with yours,” says Erin Wylie, who co-founded the cult style newsletter Blackbird Spyplane with her partner, Jonah Weiner, in 2020. “I think the thing you have to remember is that almost all of these people are profiting off of what they’re recommending.” (Blackbird Spyplane doesn’t accept gifts or affiliate links for products, except books and one-off eBay or Etsy finds.)

¶22In a world where “every interaction is monetised” and “our primary function is to be shopping”, says Wylie, the only real way to reclaim taste as a form of identity and individuality is to stop consuming. At the end of last year, Wylie was feeling increasingly disconnected from her own tastes – an experience shared by friends equally fatigued by the “firehose of fashion imagery” emanating from their screens. To revive her enthusiasm, she set herself a challenge: she would spend an entire month wearing only black clothes she already owned. Introducing these limitations forced her to experiment with texture, silhouette and accessories – to treat outfits as a series of brain-teasers. The experiment worked, with Wylie concluding her newsletter on the subject by advising readers to “build yourself some productive constraints, to help focus your attention and clarify your appetites”.

¶23The biggest, most productive constraint we can give ourselves in an era of frictionless material acquisition? Get off the internet entirely. The idea of returning to the real world is something that is clearly appealing to young adults at the moment. “Is 2026 the year of analogue?” asked a Dazed headline in January, referring to the trend for sketchbooks, vinyl and film cameras. Gamble has noticed gen Z “picking up physical media again. I have started rebuying magazines that I had when I was a teenager so I can dig into references that aren’t just on Pinterest.”

¶24Back at Portobello Road market, I ask Helena for her offline fashion inspiration. It turns out to be her dad. “He’s a Tabi, cargos, T-shirt and big sunglasses wearer. It’s totally him – he isn’t online. He actually is that person.” It is hard not to notice that it’s the older clientele who look most distinctive – by a huge margin. I corner Pip, a milliner who is wearing a white coat embroidered with images of Inuit people, a mauve neck scarf and a flat knitted hat in a similar shade. She “hates” social media, and instead has been coming here for the past 20 years to look for items that “jump out”, her instincts having evolved via a deep familiarity with fashion history. “I went through a phase where I was really into 1950s clothing, then I went 40s, 30s, 20s, then Victorian stuff.” Nowadays, she is careful to mix eras but also wears things that make her “happy”, including her “massive collection” of conversation-starting Inuit coats.

¶25Despite the doom and gloom, I feel invigorated by my trip. Shopping is obviously not the answer, but rifling through rails of old clothes clarifies another core tenet of personal taste the latter-day internet has rendered impossible: liking something that isn’t meant for you. In fact, the more I think about taste, the more I realise it boils down to a leap of imagination: a counterintuitive combination of colours, for instance; or gradually attuning to a piece of music that initially seems alienating. There are no shortcuts or quick fixes: personal taste is something that requires the kind of quiet contemplation and creative thinking big tech is actively discouraging. (“Nobody wants to sit with thoughts. Sitting with thoughts: lame; AI can do that,” jokes Vicente.) When it comes to tuning into your own taste, Gamble’s advice is essentially the same. “Always question yourself. Why do I like that? Do I just like it because I’ve been shown it 100 times – or do I genuinely love it?”

🔑 핵심 어휘 (Vocabulary)

debasev.(가치·품위를) 떨어뜨리다personal taste has been seriously debased
serendipitousadj.우연히 얻은(뜻밖의 행운의)serendipitous accidents
aperturen.(좁은) 구멍, 창through a single aperture: streaming and social media platforms
tailoredadj.~에 맞춘, 맞춤형의a limitless stream of content tailored around previous preferences
commodifyv.상품화하다synthesised, commodified and automated individual taste into oblivion
oblivionn.망각, 소멸automated individual taste into oblivion
ambientadj.배경처럼 깔리는, 주의를 끌지 않는content that is “accessible” and “ambient” is most conducive to uninterrupted scrolling
conducive toadj.~에 도움이 되는, ~을 촉진하는most conducive to uninterrupted scrolling
take one’s tollidiom피해·악영향을 주다have started to take their toll
saturationn.포화(상태)reaching tedious saturation point
herd mentalityn.군중 심리describe a herd mentality among their customers and peers
uptickn.(소폭의) 증가a significant uptick in younger generations
plough your own furrowidiom남과 다른 자기 길을 가다Even if you do want to plough your own furrow
microtrendn.단기 소규모 유행bored with the endless parade of microtrends
ubiquityn.어디에나 있음, 편재it catapulted her outfits to ubiquity
codifyv.규격화하다, 체계화하다codify taste in a juvenile but also very risk-averse way
risk-averseadj.위험을 회피하는a juvenile but also very risk-averse way
subcontract outv.외주를 주다(남에게 맡기다)since we subcontracted out those instincts
groundswelln.(여론의) 고조, 자연스러운 확산a groundswell of organic sentiment
zealn.열의, 열정genuine zeal for sophisticated, slightly subversive new music
frivolousadj.가벼운, 하찮은it’s often a joyfully frivolous act
roteadj.기계적인, 습관적인governs every free – as opposed to rote – human response
latituden.재량, (행동의) 자유the more latitude you have to do so
moatn.해자 → (기업의) 구조적 경쟁 우위a unique structural advantage that protects a company’s profitability
veneern.겉치장, 허울a veneer of humanity to hide automation behind
slopn.(질 낮은 AI 생성) 찌꺼기 콘텐츠Now we call that kind of generic content ‘slop’
insidiouslyadv.은밀하게, 서서히 해롭게content that appeals insidiously to our “primal instincts”
idiosyncraticadj.특이한, 개인 특유의a thirst for idiosyncratic, un-optimised, genuinely human preferences
antidoten.해독제, 해결책are they really an antidote to algorithm-abetted shilling?
counterintuitiveadj.직관에 반하는a counterintuitive combination of colours

📐 구문 포인트

📐 원문 문장으로 보는 구문
  1. “Exposed to a range of styles, genres and ideas, we would decide what appealed to us”
    과거분사로 시작하는 분사구문((Being) Exposed to ~): 의미상 주어 = 주절 주어 we(노출되는 쪽). would = 과거의 습관. what appealed to us = decide 의 목적어 명사절. ★ 분사구문 오류 식별 대비 — 의미상 주어 일치 확인.
  2. “Scrolling through reams of overtly nostalgic clothes, skipping through playlists of forgettably inoffensive pop and beholding endless promotional campaigns”
    현재분사 분사구문 3개 병렬(Scrolling …, skipping … and beholding …) → 주절 I felt zero enthusiasm 의 주어 I 와 일치.
  3. “her instincts having evolved via a deep familiarity with fashion history”
    독립분사구문: 주절 주어(She)와 달라 의미상 주어 her instincts 를 명시 + 완료분사(having evolved) = 주절보다 앞선 일.
  4. “the hype around New York outfit Geese was so extreme and pervasive that some people began to suspect”
    so + 형용사 + that 결과 구문(‘너무 ~해서 …하다’). 주어 the hype(단수) → was.
  5. “the higher up the class structure you sit, the more latitude you have to do so”
    「the 비교급 S V, the 비교급 S V」. to do so = to flout or subvert stylistic codes(앞 내용 대신).
  6. “It is hard not to notice that it’s the older clientele who look most distinctive”
    가주어 It + 진주어 not to notice(to부정사 부정은 not to) / that 절 속 it’s ~ who 강조구문(the older clientele 강조).
  7. “an influencer whose videos have previously held our attention for a couple of minutes”
    소유격 관계대명사 whose(= the influencer’s videos). 알고리즘이 ‘머문 시간(attention)’을 기준으로 삼는다는 내용 근거로도 쓰임.
  8. “If you dismiss taste as trivial, or see it as purely imitative, you are dismissing what it is to be a person.”
    dismiss/see A as B 병렬. what it is to be a person = ‘인간이라는 것이 무엇인지’(what 명사절, 가주어 it ~ to be).

📝 문단별 요약

  1. ¶1 도입: 무엇을 좋아하는지 답하기가 10~20년 전보다 어려워졌다. 기술 발전이 개인 취향을 심하게 떨어뜨렸고(완전히 파괴하진 않았더라도), 인터넷은 의견뿐 아니라 ‘스스로 선호를 형성하는 능력’까지 망가뜨렸다. 예전엔 공동체·지리·대중/전문 매체·우연을 통해 다양한 것에 노출된 뒤 스스로 골랐다.
  2. ¶2 지금은 하나의 창 — 스트리밍·SNS 의 알고리즘 피드, 알고리즘 최적화 검색·전자상거래(Amazon~Vinted) — 으로 세상을 만난다. 본인·타인의 활동 데이터로 오래 머물게 할 콘텐츠를 보여 줌(Spotify: 지난번 건너뛰지 않은 곡과 피상적으로 비슷한 곡 / Instagram: 몇 분 주의를 끈 인플루언서 반복). 과거 선호에 맞춘 끝없는 흐름으로 현실을 경험.
  3. ¶3 역설: 플랫폼은 개인화를 사업 모델의 핵심으로 삼고서 개인 취향을 합성·상품화·자동화해 소멸시켰다. 우리는 고르지 않고 주어진 것을 받으며, 양이 너무 많아 소화·평가할 정신적 여력이 없다. Kyle Chayka『Filterworld』(2024): 무난·배경적 콘텐츠가 스크롤에 유리하므로 가장 덜 모호하고 덜 파괴적이며 아마 가장 덜 의미 있는 문화가 가장 많이 홍보된다.
  4. ¶4 필자 경험: 지난해부터 향수 옷·무난한 팝·기존 IP 홍보에 열의 0. 소비 트렌드(아이 같은 벽 그림, splatter ceramics, mesh ballet flats, bandanas, Dubai chocolate, cottage cheese)가 알고리즘에 떠받쳐 하룻밤에 포화 — 판단할 틈도 없이. 어린 시절 이후 처음으로 무엇을 진짜 좋아하는지 모르는 느낌.
  5. ¶5 알고리즘 이전 시대(2000년대 중후반) 취향을 다듬던 Portobello Road market 을 10년 만에 재방문 — 겉은 그대로이나, 상인·쇼핑객 모두 고객·또래의 군중 심리(herd mentality)를 말한다.
  6. ¶6 Kerry(빈티지 사업 8년): 젊은 세대가 ‘어울리고 싶어’ 함이 크게 늘었다. Stephanie(37, 캘리포니아): 친구들이 똑같은 옷을 입어 옷차림의 개인적 측면이 사라짐. Helena(25, 스타일리스트): 끝없는 마이크로트렌드에 지침 — “have I been influenced or is this actually me?”
  7. ¶7 Ione Gamble: 2014년 Polyester 창간(John Waters “Have faith in your own bad taste” 를 태그라인으로). 지금은 늘 무엇을 좋아할지 지시받아 무력감 — 하루에 취향을 훈련할 여유가 없다. 『The Polyester Book of (Bad) Taste』에서 Nicola Dinan 은 ‘운전자 없는 차’ 비유. 올해 두 대중문화 사건이 분위기 반전(souring)을 보여 줌.
  8. ¶8 첫째: Carolyn Bessette Kennedy(1999 비행기 사고 사망)가 2026년 1위 패션 아이콘 — 2월 TV 시리즈 Love Story 방영 후 그녀의 옷이 어디에나. M&S 닮은꼴 재현 광고, Vogue 체크리스트. 필자가 14살 때 Kate Moss 를 상상하며 Topshop 을 뒤지던 것과 대비 — 지금은 뒤지거나 상상할 필요 없이 알고리즘이 밀리초 만에 해결.
  9. ¶9 ‘CBK-core’ 는 단조로운 기반 위의 강렬한 유행 목록 중 하나(TikTok 미학 tomato girl·balletcore·coastal grandmother — 유치하면서도 매우 위험 회피적으로 취향을 규격화). 실존 인물이 중심이라 ‘청소년식 베끼기’가 얼마나 심해졌는지 드러남. 친구 Carole Radziwill: 핵심은 그녀를 흉내 내는 게 아니라 자신에게 가장 진정성 있게 느껴지는 것을 하는 것.
  10. ¶10 본능을 외주 주고 기업 조작에 노출된 탓에 진정성 판단이 어렵다. 예: 밴드 Geese 과열 → 업계가 심은 ‘plant’ 의심 → 3월, Chaotic Good Projects 마케팅 이용 공개(Alex Warren·Sombr·Zara Larsson 도). 다수 SNS 계정으로 고객 곡을 깐 콘텐츠를 올려 바이럴을 합성하는 ‘trend simulation’.
  11. ¶11 음악 산업은 원래 만들어진 흥분에 기대지만, 온라인 인기는 적어도 일부는 진짜 관심이라 믿었다 — 틀렸다. 5월 Lane Brown(New York magazine)이 ‘clipping’(일반인에게 돈을 주고 콘텐츠를 도배 → 알고리즘이 열광으로 오인해 더 홍보) 설명; Noah Kahan·The Night Agent 사례. 업계 관계자 추정: “인터넷에서 보는 것의 90%는 위장 광고.”
  12. ¶12 Geese 사건이 화제가 된 이유: 팬이 됨으로써 아직 진짜 열정을 느낄 수 있다고 믿었는데 속은 셈. 취향의 정의: 좋아하는 것과 싫어하는 것 — 피상적일 수 있지만 정체성의 핵심. Susan Sontag『Notes on Camp』(1964): 사람·시각·감정의 취향, 지성도 ‘생각에 대한 취향’; 예술 창작에 필수; 기계적이지 않은 모든 자유로운 반응을 지배.
  13. ¶13 일부 반응은 미리 프로그래밍 — 계층·배경이 취향을 형성, 소속을 알리는 사회적 요소. Pierre Bourdieu『Distinction』(1979), Grayson Perry 2012 태피스트리 The Vanity of Small Differences. 규칙을 비틀려면 능통해야 하고 계층이 높을수록 재량이 크다. 그래도 누구나 규칙을 깰 수 있다 — 20세기 가장 실험적인 옷차림은 punk·New Romantics 같은 하위문화에서.
  14. ¶14 이상적으로 개인 취향은 모두의 특권·즐거움이자 자기표현·창조 행위에 가장 가까운 것, 정체성을 공고히 함. 헌신·일관성(마이크로트렌드의 반대)과 위험(모두가 좋아하진 않음을 앎)이 필요. Gamble: 성공적인 취향은 더 나답게 느끼게 하는 도구. 취향을 하찮게/모방으로만 보면 인간됨을 무시하는 것.
  15. ¶15 두 번째 역설: 인터넷은 취향을 최우선에 둠으로써 파괴했다 — 수동적이면서 과시적인 취향을 정체성으로 만들어 인간을 데이터 생산 소비 노드로 환원. Nathalie Olah『Bad Taste』: 2008년 이후 경제 불안 속 밀레니얼 ‘좋은 취향’(차분한 색, 비싼 양초, 화분, 카페 커피)이 능력·권위의 온라인 공연이 됨 — 신자유주의적 사기. 취향으로만 환원되는 것은 취향이 없는 것만큼 비인간적.
  16. ¶16 테크 업계의 취향 계획: OpenAI 사장 Greg Brockman(2월, X) “taste is a new core skill”, 전 동료 Krithika Shankarraman “taste is going to become a distinguishing factor in the age of AI”. 취향 = AI 가 복제할 수 없는 단 하나의 인간 자질이라는 생각 → ‘moat’(기업 수익성을 지키는 독특한 구조적 이점) 개념이 전반에 뿌리내림.
  17. ¶17 Silicon Valley 의 취향 편승: Palantir 파란 chore jacket, Anthropic ‘thinking’ 모자, OpenAI 축구 셔츠·후디; Jeff Bezos 부부 Met Gala 명예의장(보도상 $10m), Zuckerberg(Prada 밀라노 쇼 앞줄). Chayka: ‘taste-washing’ — AI 지배 미래를 받아들이기 쉽게 하려는 시도, 자동화를 가리는 인간성의 겉칠(PR).
  18. ¶18 취향 집착은 AI 콘텐츠가 피드를 지배하는 시점과 일치: 온라인 공유 이미지의 약 71% AI 생성, 팟캐스트 1/3 이상, 지난해 Spotify 7,500만 AI 트랙 삭제. Chayka: 생성형 AI 는 algorithmic sameness 의 후계자 — 알고리즘은 인간에게 generic 콘텐츠를 만들게 했고 AI 는 바로 생성(‘slop’), 같은 피드로 소비 → 악순환.
  19. ¶19 운전자 없는 차는 AI 늪으로. Gamble: 알고리즘은 취향 제조자 흉내를 버리고 ‘원시적 본능’을 은밀히 자극(Fruit Love Island — 즐거움이 아니라 눈길을 위한 콘텐츠; 책 마지막 장 The End of Taste). 출구: Carmen Vicente(Scroll Sick) — taste-washing 의 동기는 권력 상실 공포. 취향을 되찾으려면 알고리즘 플랫폼을 떠나야 하고 이미 진행 중: FT — SNS 사용 시간 2022년 정점, Ofcom — 게시 12% 감소, 이유 중 하나 algorithmic fatigue. Chayka: Facebook 활성 이용자 감소.
  20. ¶20 인간 취향을 전하는 곳: Love/Hate Lists, Perfectly Imperfect(2020, Tyler Bainbridge) — 무작위·최적화되지 않은 인간적 선호에 대한 갈증. 2024년 알고리즘 없는 SNS PI.FYI(시간순 추천, 20만 명) / Letterboxd 약 2,600만.
  21. ¶21 Chayka: 인터넷이 작은 독립 플랫폼으로 분열 — 뉴스레터·Patreon 식 후원. 뉴스레터는 인간 취향 중심이지만 질은 제각각(Vittles·The Browser 같은 광고 없는 곳 vs 협찬·제휴 링크). Erin Wylie(Blackbird Spyplane, Jonah Weiner 와 2020): 추천 경제는 좋아하는 취향의 사람을 찾게 해 주지만 대부분 추천으로 돈을 번다는 점을 기억해야.
  22. ¶22 Wylie: ‘모든 상호작용이 수익화된’ 세상에서 취향을 정체성으로 되찾는 유일한 길은 소비를 멈추는 것. 한 달간 이미 가진 검은 옷만 입는 도전 → 질감·실루엣·액세서리로 실험 → 독자에게 ‘productive constraints’ 를 만들라고 조언.
  23. ¶23 가장 큰 생산적 제약 = 인터넷을 완전히 떠나기. 젊은 성인에게 현실 세계로의 회귀가 매력적(Dazed 1월 헤드라인 “Is 2026 the year of analogue?” — 스케치북·바이닐·필름 카메라). Gamble: Z세대가 물리적 매체를 다시 집어 든다; Gamble 자신도 10대 때 보던 잡지를 다시 사 모은다(필자가 아니라 Gamble 의 말).
  24. ¶24 Portobello 재방문: Helena 의 오프라인 영감은 아빠(Tabi·카고·티셔츠·큰 선글라스, 온라인 안 함 — “He actually is that person”). 가장 개성 있는 건 나이 든 손님들. 모자 장인 Pip — SNS 를 ‘싫어함’, 20년간 ‘튀는’ 물건을 찾으며 패션사에 대한 깊은 친숙함으로 본능이 진화, 시대를 섞되 자신을 ‘행복하게’ 하는 것을 입음(이누이트 코트 컬렉션).
  25. ¶25 결론: 쇼핑이 답은 아니지만, 낡은 옷을 뒤지며 취향의 또 다른 핵심을 깨달음 — ‘나를 위해 만들어지지 않은 것을 좋아하기’. 취향은 상상력의 도약(직관에 반하는 색 조합, 처음엔 낯선 음악에 점차 맞춰 가기); 지름길 없이 빅테크가 막는 조용한 사색·창의적 사고가 필요. Gamble: 늘 스스로 물어라 — 100번 보여 줘서인가, 진짜 사랑해서인가?

💬 수업 Discussion / Motion

💬 노트 원문 그대로 + 답변 포인트·찬반 근거 (이소라 쌤 수업 노트)

① Personalization vs Personal choice

관련 문단 ¶1–¶3
More personalization → more individuality?
  • 원문 입장: 아니다 — 역설. 개인화를 사업 모델로 삼은 플랫폼이 개인 취향을 소멸시켰다.
“these platforms made personalisation a major part of their business model, then synthesised, commodified and automated individual taste into oblivion”
If spotify knows exactly what you like, shouldn’t that make your experience more personal?
  • 겉보기엔 그렇지만, Spotify 가 주는 건 ‘지난번 건너뛰지 않은 곡과 피상적으로 비슷한 곡’ — 과거 행동의 반복이지 지금의 나를 넓히는 경험이 아니다.
“serving customers songs with superficial similarities to the tracks they didn’t skip last time”
But what if Spotify keeps showing you the some type of music?
  • 과거 선호를 중심으로 재단된 끝없는 흐름 속에 갇힌다 → 새로운 것을 고를 기회가 줄어듦.
“We now experience reality via a limitless stream of content tailored around previous preferences.”
Does personalization help you discover yourself, or does it put you inside a box?
  • 원문은 ‘box’ 쪽: 우리는 고르지 않고 주어진 것을 받는다. (discover 쪽 근거는 원문에 약함 — 쓰려면 ‘다른 사용자 데이터’를 활용한다는 점을 조건부로)
“We no longer choose what we want to consume; we take what we’re given.”
Algorithm: “You liked X, so you will probably like Y”
What assumption does this algorithm make about human taste?
  • 취향은 과거 행동(건너뛰지 않음·머문 시간)과 비슷한 사람들의 데이터로 예측 가능하며, 한 번 좋아한 것과 비슷한 것을 계속 좋아한다는 가정.
“programmed to show each individual specific content based on data gathered from their own activities and those of other users”
Is liking something once evidence that we will always like similar thing?
  • 아니다 — 원문은 취향을 ‘상상력의 도약’, 처음엔 낯설던 음악에 점차 맞춰 가는 과정으로 본다(비슷한 것의 반복이 아님).
“gradually attuning to a piece of music that initially seems alienating”
Can an algorithm understand why you like something?
  • 원문 근거로는 어렵다: 알고리즘이 보는 신호는 ‘주의를 끈 시간’. ‘왜 좋아하는가’는 스스로 물어야 하는 질문(Gamble).
“an influencer whose videos have previously held our attention for a couple of minutes”
“Always question yourself. Why do I like that?”
What happens if the algorithm is wrong?
  • 원문은 ‘틀린 경우’를 직접 다루지 않음. 연결 가능한 사례: clipping 으로 알고리즘이 가짜 열광을 진짜로 오인해 상품을 더 밀어 준다.
“This can trick the algorithm into detecting widespread enthusiasm and therefore promoting the product further”
Does my taste shape what I see on social media, or does social media shape what I like?
  • 원문 결론은 후자(SNS 가 내 취향을 만든다) 쪽 — 선호를 형성하는 능력이 망가졌고, Helena 도 ‘영향받은 건지 진짜 나인지’ 묻는다.
“it has wrecked our capacity to form our own preferences”
“have I been influenced or is this actually me?”
explain how algorithmic platforms influence personal preferences distinguish between personalization and personal choice. critically examine whether algorithmic recommendations actually reflect our taste.
⚖️ Discussion Topic: “Social media algorithms help us discover our authentic tastes.”
Agree vs. Disagree
Agree 근거 2
  1. 알고리즘은 다른 사용자들의 데이터까지 써서 혼자서는 몰랐을 콘텐츠를 보여 줄 수 있다(조건부 근거).
    “based on data gathered from their own activities and those of other users”
  2. 처음 접한 경로가 알고리즘이어도, 진짜 사랑하게 됐다면 그것은 내 취향 — Gamble 의 기준은 ‘출처’가 아니라 ‘진짜 사랑하는가’.
    “Do I just like it because I’ve been shown it 100 times – or do I genuinely love it?”
Disagree 근거 2
  1. 알고리즘은 과거 선호를 재생산할 뿐 — 새 취향의 발견이 아니라 반복.
    “content tailored around previous preferences”
  2. 가장 무난하고 덜 의미 있는 것이 가장 많이 홍보되고, 인기 자체가 조작(clipping, 위장 광고 90% 추정)될 수 있다.
    “the least ambiguous, least disruptive and perhaps least meaningful pieces of culture are promoted the most”

② Trend 와 Individuality (Tomato Girl / Balletcore / Coastal Grandmother)

관련 문단 ¶4–¶15
⚖️ Motion: “Following trends does not necessarily make you less individual.”
⇒ Agree vs. Disagree
Agree 근거 2
  1. 내 취향이 먼저였는데 그게 유행이 되는 경우도 있다 — Helena 의 ‘my vibe’ 가 마이크로트렌드로 바뀜. 유행과 겹친다고 개성이 사라지진 않는다.
    “I hate when I see something that’s my vibe being turned into a microtrend”
  2. 취향에는 원래 소속을 알리는 사회적 요소가 있고, 규칙을 비틀려면 먼저 그 규칙에 능통해야 한다 — 유행을 아는 것이 개성의 출발점일 수 있다.
    “To flout or subvert stylistic codes you have to be fluent in them”
Disagree 근거 2
  1. 유행 추종은 ‘어울리고 싶다’는 군중 심리 — 친구들이 똑같은 옷을 입어 옷차림의 개인적 측면이 사라진다.
    “it takes away that personal aspect of your dressing”
  2. CBK-core 처럼 ‘가장 문자 그대로’ 흉내 내는 체크리스트 유행은 청소년식 베끼기 — Radziwill: 핵심은 흉내가 아니다.
    “The takeaway is not to mimic her style.”
“Is popularity automatically the opposite of individuality?”
  • 자동으로 그렇진 않다 — 다만 그 인기가 진짜인지(trend simulation·clipping) 먼저 의심해야 한다.
“a tactic it calls “trend simulation””
“Can you genuinely like something that happens to be popular?”
  • 가능하다. 판단 기준 = Gamble 의 질문(100번 봐서인가, 진짜 사랑해서인가). Geese 팬들처럼 ‘좋은 취향을 가졌다고 속은’ 경우와 구분.
“they might have felt tricked into believing they still had good taste”
“If everyone independently likes the same thing, is it still a loss of individuality?”
  • 핵심은 ‘independently’. 원문 근거로 해석하면(원문이 직접 이렇게 말하지는 않음 — 해석), 문제는 같은 것을 좋아한다는 사실이 아니라 본능을 외주 줘 스스로 고르는 힘이 약해졌다는 점이다.
“since we subcontracted out those instincts – and left them wide open to corporate manipulation”
“Where do we draw the line between influence and imitation?”
  • 상상력·탐색이 개입하면 influence, 체크리스트대로 복제하면 imitation — 필자의 Kate Moss 시절(상상하며 뒤짐) vs 지금(뒤질 필요도 상상할 필요도 없음).
“Except nowadays no scouring or imagination is required”
✍️ Complete: “A preference becomes truly ‘mine’ when ___________”
  1. A preference becomes truly ‘mine’ when I can explain why I like it, not just how many times an algorithm has shown it to me.
    “Do I just like it because I’ve been shown it 100 times – or do I genuinely love it?”
  2. A preference becomes truly ‘mine’ when I keep choosing it with commitment and consistency even after the microtrend has passed.
    “It involves commitment and consistency (the opposite to all those microtrends)”
  3. A preference becomes truly ‘mine’ when I am willing to keep it even though I know it won’t appeal to everyone.
    “knowing the things you like won’t appeal to everyone”
Analyze how social media creates and spreads trends. explain the relationship between taste and identity evaluate whether following trends necessarily means losing individuality.
학습목표 답 — 트렌드 생성·확산: 알고리즘이 떠받쳐 하룻밤에 포화(¶4), 기업의 trend simulation(¶10), clipping(¶11). 취향과 정체성: 취향은 피상적일 수 있지만 정체성의 핵심(¶12), 성공한 취향은 더 나답게 느끼게 하는 도구(¶14).
“buoyed by the algorithm and reaching tedious saturation point”
“but it is also right at the core of our identities”
Tomato Girl / Balletcore / Coastal Grandmother
  • 원문: TikTok 미학의 끊임없는 교체 예시로 나열 — 유치하면서도 매우 위험 회피적으로 취향을 규격화. 각 미학의 구체적 스타일 설명은 원문 미언급(외우지 말 것).
“the relentless churn of TikTok aesthetics – tomato girl, balletcore, coastal grandmother – that codify taste in a juvenile but also very risk-averse way”

③ Algorithmic sameness · AI · Attention vs Enjoyment (moat)

관련 문단 ¶16–¶19
**moat - 방어벽. 성같은거 둘러싼 거. 혜자 (요즘에는) 라이벌들이 못들어오게 하는 것
원문 정의: moat = 기업의 수익성을 지켜 주는 독특한 구조적 이점(tech 용어). 맥락: 테크 업계는 ‘취향’을 AI 가 복제할 수 없는 인간 자질 = moat 로 본다.
“a tech‑world term meaning a unique structural advantage that protects a company’s profitability”
Focus: When AI starts producing what algorithms already taught us to like
explain the relationship between algorithms and AI generated context
  • Chayka: 생성형 AI 는 algorithmic sameness 의 후계자 — 알고리즘이 generic 콘텐츠를 인간에게 만들게 했다면 AI 는 그것을 바로 생성하고, 같은 피드로 소비된다(악순환).
“Algorithms encouraged humans to produce generic content, while AI just generates the generic content right away.”
analyze the concept of ‘algorithmic sameness’
  • algorithmic sameness = 알고리즘이 무난·모호하지 않은 콘텐츠를 밀어 문화가 비슷비슷해지는 현상. 패턴은 남아 있고 AI 콘텐츠도 같은 피드로 소비.
“So the patterns are still there, and we often are consuming AI content through the same algorithmic feeds.”
evaluate whether AI threatens human creativity and taste
  • 위협 측: slop·원시적 본능을 노린 콘텐츠. 반론 측: 취향은 AI 가 복제 못 할 인간 자질이라는 주장(단, Chayka 는 그것을 taste-washing PR 로 봄).
“It remains a vicious cycle.”
“a veneer of humanity to hide automation behind”
“The author describes some AI content as being designed for ‘eyeballs, not even enjoyment’”
⚠️ 원문 대조: 원문 표현은 “tailored for eyeballs, not even enjoyment” 이고 발화자는 Ione Gamble(Fruit Love Island 에 대해). 노트의 ‘designed for’·‘The author’ 와 다르다 — 서술형에서 인용할 땐 원문대로.
“It’s basically content that’s tailored for eyeballs, not even enjoyment.”
What's the difference between attention and enjoyment?
  • attention = 눈길·체류 시간을 붙잡는 것(플랫폼의 목표: 최대한 오래 머물게). enjoyment = 실제로 즐거운가. 원문: AI 콘텐츠는 즐거움이 아니라 눈길을 위해 재단됨.
“content that will ideally keep them on the platform for as long as possible”
Can something be addictive but not enjoyable?
  • 가능하다 — 필자는 끝없이 스크롤했지만 어느 것에도 열의가 없었다.
“I felt zero enthusiasm for any of it”
Why are shocking, repetitive, or highly emotional things effective online?
  • 원문 근거: 원시적 본능을 은밀히 자극하고, 화려한 색·플롯 장치로 낚는다. (‘shocking’ 이라는 단어 자체는 원문 미언급)
“content that appeals insidiously to our “primal instincts””
“It uses all the specific plot devices to hook you in.”
Does popularity prove quality?
  • 아니다 — 가장 덜 의미 있는 문화가 가장 많이 홍보되고, 한 업계 관계자는 온라인에서 보는 것의 90%가 위장 광고라고 추정.
““90% of what you see on the internet is advertising in disguise””
⚖️ Motion: “AI will ultimately reduce human creativity”
Agree 근거 2
  1. AI 는 algorithmic sameness 의 후계자 — generic 콘텐츠(slop)를 즉시 생성해 같은 피드로 돌리는 악순환.
    “I see generative AI as a successor to algorithmic sameness”
  2. 취향·창의성에는 조용한 사색이 필요한데 빅테크는 그것을 적극적으로 막는다(Vicente: ‘생각하는 건 AI 가 하면 된다’는 분위기).
    “personal taste is something that requires the kind of quiet contemplation and creative thinking big tech is actively discouraging”
Disagree 근거 2
  1. 테크 업계 스스로 취향을 AI 가 복제할 수 없는 인간 자질로 본다 — 인간의 판단 가치가 오히려 커진다는 주장.
    “Taste, the thinking goes, is the one human quality artificial intelligence will not be able to replicate.”
  2. 반작용이 이미 나타남 — 무작위·최적화되지 않은 인간적 선호에 대한 갈증, Z세대의 물리적 매체 회귀.
    “tap into a thirst for idiosyncratic, un-optimised, genuinely human preferences”
“If a human uses AI to create something original, is the creativity still human?”
  • 원문 미언급(직접 답 없음). 연결 근거: Sontag — 취향은 예술을 ‘만드는’ 데도 필수 → 무엇을 고르고 버릴지 판단하는 취향이 사람에게 있다면 인간 창의성으로 볼 여지.
“It is crucial for making art, not just consuming it.”
“Can AI have taste?”
  • 원문 속 견해: 테크 업계는 ‘AI 시대에 취향이 차별 요소’라며 인간 고유로 본다. Chayka 는 업계의 취향 이용을 자동화를 가리는 PR 로 본다.
“taste is going to become a distinguishing factor in the age of AI”
“Silicon Valley’s use of taste is just PR or a marketing effort”
“If AI can imitate every existing style, can it create something genuinely new?”
  • 원문 근거로는 회의적: 새로움은 ‘상상력의 도약’·직관에 반하는 조합에서 나오는데, AI 는 generic 콘텐츠를 즉시 생성한다.
“it boils down to a leap of imagination”
“AI just generates the generic content right away”
✍️ Complete: “One thing AI can imitate but may not genuinely possess is _____ because ____.”
  1. One thing AI can imitate but may not genuinely possess is taste because taste involves a leap of imagination and the risk of liking things that won’t appeal to everyone.
    “knowing the things you like won’t appeal to everyone”
  2. One thing AI can imitate but may not genuinely possess is enjoyment because AI content is tailored to capture our eyeballs rather than to be truly enjoyed.
    “It’s basically content that’s tailored for eyeballs, not even enjoyment.”
  3. One thing AI can imitate but may not genuinely possess is humanity because, as Chayka argues, tech companies use taste as a veneer of humanity to hide automation behind.
    “a veneer of humanity to hide automation behind”

④ Authentic taste 기르기

관련 문단 ¶20–¶25
Focus: How can we develop authentic preferences?
⚖️ Central Discussion Question: “Can we ever have completely authentic personal taste?”
Agree 근거 2
  1. 가능하다 — Helena 의 아빠는 온라인을 하지 않고 ‘완전히 그 사람’ 그대로다.
    “It’s totally him – he isn’t online. He actually is that person.”
  2. Pip 처럼 패션사에 대한 깊은 친숙함으로 본능을 길러 ‘행복하게 하는 것’을 입을 수 있다.
    “her instincts having evolved via a deep familiarity with fashion history”
Disagree 근거 2
  1. ‘completely’ 는 어렵다 — 취향은 계층과 배경이 형성하고 일부 반응은 미리 프로그래밍돼 있다.
    “Taste is shaped by class and background.”
  2. 취향에는 소속을 알리는 사회적 요소가 있다(Bourdieu).
    “is often nothing more than a way of signifying that you belong – or want to belong – to a certain group”
Follow-up Questions:
“Can algorithms actually help us discover things we would never find ourselves?”
  • 원문 논리로는 제한적 — 알고리즘은 과거 선호에 맞춘 콘텐츠를 준다. 대안: PI.FYI 처럼 사람의 추천을 시간순으로 보여 주는 무작위 노출.
“it shares users’ recommendations in chronological order”
“Where should we draw the line between influence and manipulation?”
  • 숨겨진 상업적 의도가 있으면 manipulation — clipping(돈 받은 일반인의 도배), 협찬·제휴 링크로 돈을 버는 추천.
“stealth advertising campaigns that involve paying members of the public to flood social media”
“almost all of these people are profiting off of what they’re recommending”
What is different about discovering something accidentally?
  • 알고리즘 이전엔 공동체·지리·매체·‘우연’으로 다양한 것에 노출돼 스스로 골랐다 — 우연은 과거 선호의 반복이 아니다.
“via a combination of community, geography, mass and specialist media, and serendipitous accidents”
What can we learn from something that an algorithm would never recommend?
  • 직관에 반하는 조합·처음엔 낯선 것에 맞춰 가는 경험 = 상상력의 도약.
“a counterintuitive combination of colours”
Why might encountering something that is ‘not meant for you’ be important?
  • ‘나를 위해 만들어지지 않은 것을 좋아하기’는 오늘날 인터넷이 불가능하게 만든 취향의 핵심 원칙이기 때문.
“clarifies another core tenet of personal taste the latter-day internet has rendered impossible: liking something that isn’t meant for you”
When was the last time you discovered something without searching for it online?
  • 개인 경험 문항(원문 미언급). 모델: 필자와 Lara 처럼 시장에서 아무도 안 입는 중고를 ‘사냥’한 경험 → 검색이 아닌 우연한 발견.
“I would hunt for unusual secondhand things nobody else was wearing”
원문 속 해결책 4가지(서술형 ‘해결책’ 문장 재료): ① 알고리즘 플랫폼 떠나기·인터넷 끊기 ② productive constraints(Wylie 검은 옷 한 달) ③ 알고리즘 없는 인간 추천(PI.FYI·Letterboxd·광고 없는 뉴스레터) ④ 스스로 묻기(Gamble).
“To reclaim our personal tastes (and cultural standards) we must abandon algorithm-driven platforms.”
“build yourself some productive constraints, to help focus your attention and clarify your appetites”
“In 2024, he launched his own algorithm-free social media site, PI.FYI.”
“Always question yourself.”
⑤ 수업 노트는 ④까지 — 노트에 없는 부분은 소주제로 만들지 않았다(원문 전체는 위 📖 지문·📝 문단별 요약 참고).

🧭 서술형 연결 — Algorithm · personal taste 에 쓸 근거 문장

  1. ① 개념 정의: 취향 = 좋아하는 것·싫어하는 것, 정체성의 핵심
    “it’s what you like and what you don’t”
  2. ① 정체성: 피상적이지만 정체성의 핵심
    “but it is also right at the core of our identities”
  3. ② 메커니즘: 데이터 기반·오래 머물게 할 콘텐츠
    “content that will ideally keep them on the platform for as long as possible”
  4. ② 결과: 과거 선호의 반복
    “We now experience reality via a limitless stream of content tailored around previous preferences.”
  5. ③ 비교(personalization vs personal choice): 역설
    “these platforms made personalisation a major part of their business model, then synthesised, commodified and automated individual taste into oblivion”
  6. ③ 비교: 고르지 않고 받는다
    “We no longer choose what we want to consume; we take what we’re given.”
  7. ④ 예시 1 — Spotify
    “serving customers songs with superficial similarities to the tracks they didn’t skip last time”
  8. ④ 예시 2 — Chaotic Good 의 trend simulation
    “a tactic it calls “trend simulation””
  9. ④ 예시 3 — clipping 이 알고리즘을 속임
    “This can trick the algorithm into detecting widespread enthusiasm and therefore promoting the product further”
  10. ④ 예시 4 — Helena 의 질문
    “have I been influenced or is this actually me?”
  11. ⑤ 평가: 가장 덜 의미 있는 것이 가장 많이 홍보
    “the least ambiguous, least disruptive and perhaps least meaningful pieces of culture are promoted the most”
  12. ⑤ AI 연결: algorithmic sameness 의 후계자
    “I see generative AI as a successor to algorithmic sameness”
  13. ⑥ 해결책: productive constraints
    “build yourself some productive constraints, to help focus your attention and clarify your appetites”
  14. ⑥ 해결책: 스스로 묻기
    “Do I just like it because I’ve been shown it 100 times – or do I genuinely love it?”
  15. ⑥ 해결책: 나를 위해 만들어지지 않은 것을 좋아하기
    “liking something that isn’t meant for you”
Reading A3 · The Guardian 2019-11-24 (Coco Khan) | Psychology

Do you take hours to make a simple decision? You may have Fobo

Fobo(fear of better options) — 단순한 결정도 못 내리는 ‘더 나은 선택지에 대한 공포’

📖 지문 (Passage)

원문: SR.pdf 추출본(_Sora_중간_원문소스.md). 노란 표시 = 출제 핵심 문장. ¶ 번호는 PDF 줄바꿈 기준으로 나눈 문단(원문 문단과 다를 수 있음).
수업 노트의 출처 표기(원문 그대로): Do you take hours to make a simple decision? You may have Fobo · https://www.theguardian.com/global/2019/nov/24/fear-of-missing-out-fomo-making-decision-biology-fobo-christmas-turkey?

¶1Recently, Mike Hall, 48, a management consultant based in Winchester, decided to get ahead with Christmas preparations. “Do I buy the free range bronze turkey for 10-12, or 12-14, even though there are only seven of us for Christmas Day?” he wondered, attempting to tot up all the different variables. “What about leftovers? Should I buy two turkey crowns instead? And which ones?” Such granular decision-making went on and on, until eventually he gave up in exhaustion. He has not yet bought a turkey. Indecision when the decision is simple, or the options all acceptable, is the defining characteristic of “fear of better options” – or Fobo – a social phenomenon coined by Patrick McGinnis, a US venture capitalist and the man known for coining the term Fomo, or fear of missing out. Fobo can occur everywhere from minor decisions – what to watch on TV, what to eat for dinner – to more significant ones such as whether to take a new job. Whatever the case, a Fobo-afflicted person may find themselves overwhelmed by the possibilities of what might be (some call this “analysis paralysis”) even when no outcome is guaranteed, and when some of those options aren’t even on the table.

¶2A common example may be figuring out what to do on Friday night. Sure, the invitation to hang out with work colleagues is convenient and guaranteed to be enjoyable, but there is another party across town where something even more fun might be happening. Then there’s someone on Tinder who floated Friday night as a possible date, while your flatmates are heading to a restaurant opening. Someone with Fobo is likely to hold back on commitment, or commit then cancel. “I bail at the last minute, all the time” says Aoife O’Donaghue, 24, a recent graduate based in Edinburgh. Such dithering can be exhausting for friends and family who depend on someone for a firm commitment, and bring stress to the person themselves. For O’Donaghue, it’s always the smallest decisions she has the hardest time making. She describes a time at university where she was trying to figure out where to study - the library or a cafe. “I was thinking, ‘Will I work better in one place? Would I like a cup of tea? Will there be enough seats?’” O’Donaghue describes working herself up over this for 15 minutes until she had a stress-induced stomach ache. “I ended up going to the library, and then to the cafe. So it didn’t even really matter” she laughs ruefully.

¶3So what’s going on? McGinnis, who has been researching Fomo and Fobo over several years for his forthcoming book, and for his podcast Fomo Sapiens, argues that Fobo is not necessarily a new human behaviour. “These feelings are biologically part of who we are. I call it the biology of wanting the best. Our ancestors a million years ago were programmed to wait for the best because it meant they were more likely to succeed.” But the mass introduction of sophisticated technology and the internet has accelerated Fomo and Fobo into a common social behaviour. After all, we are now able to easily compare ourselves with each other (thus producing feelings of Fomo) and overwhelm ourselves with choice (producing Fobo). “Go on Amazon to buy a pair of white shoelaces and you have in excess of 200 choices, whereas 50 years ago you would go to Woolworths and choose between three,” says McGinnis. “So that’s the context. The other factor – which is more emotional – is that Fobo is driven by narcissism, because when you have Fobo, you’re putting your own interests well before anybody else’s, which leaves all the people around you on hold.”

¶4McGinnis himself experienced feelings of Fomo and Fobo when he coined the terms in a Harvard Business School paper 15 years ago. “Harvard is a place unlike others in terms of the amount of opportunities you have – classes, social events, interviews – at your disposal,” he says. “I came from a simple background – a small town in New England – and when I arrived I found it extremely overwhelming. I wanted to do everything – which is Fomo – but at the same time, I wasn’t willing to say no to anything and just choose one thing, which was Fobo. I would wait until the last minute to see if a better option came along. And I realised that that was a pervasive behaviour at Harvard because of it being a choice-rich environment.”

¶5This is the main difference between Fomo and Fobo. Anyone with a smartphone looking over the often manipulated and unrealistic lives of others on social media might feel Fomo. But Fobo, according to McGinnis, is an issue for the privileged. “Fobo is an affliction of affluence,” says McGinnis. “To have Fobo you must have options. So the richer you are, the more powerful you are, the more options you have. That’s when you start to feel it.” McGinnis doesn’t believe that Fobo is restricted to the individual either – large corporations can be affected by it (“a multinational with access to big data can always find a reason to justify not doing something”), and so can countries. “I have come to believe that the Brexit situation is Fobo. Fobo is the inability to choose between one of many acceptable outcomes. You may not like Brexit but there are plenty of acceptable ways it could be structured, without going to no deal. But any time Mrs May brought a proposal to the Commons, she couldn’t get a vote because all of the MPs were waiting for a slightly better option.”

¶6On the individual level, though, O’Donaghue is not entirely convinced. “I’m a privileged person, compared with other people. But I don’t think the things I’m choosing between are very luxurious. I’m talking about choosing dinner, or what’s on the telly. Maybe my problem is one of overthinking.”

¶7Decision-making is a complex mental procedure involving several of the brain’s executive functions, that is, the key cognitive processes your brain uses to control your behaviour – from planning to managing impulses. People with conditions such as ADHD and autism, where executive functions can be impaired, may find themselves struggling to choose between options.

¶8But is Fobo just an easy-to-swallow euphemism for something more serious or taboo, such as an anxiety disorder? Nicky Lidbetter, chief executive of the charity Anxiety UK, doesn’t think so. “It is possible for anxiety to be experienced around many different issues, of which a fear of choosing the wrong option in regards to big life decisions may be one,” she says. “Fear of a better option, however, is more likely to be linked to or a trigger for a pre-existing anxiety condition as opposed to being sufficient to warrant being categorised as an anxiety disorder in its own right.” So for those without pre-existing conditions, what exactly is everyone afraid of? What is the “fear” in Fobo? McGinnis says it is a “fear of letting go”. “In order to choose something you must let go of another thing and it’s the fear of having to mourn the road untaken. So we would rather not decide at all and keep all of our options open.”

¶9There is some psychological foundation to this. Some psychologists have found that when it comes to decision-making, people can be split into two groups: “maximisers” or “satisficers”. Maximisers are people who make a choice based on maximum benefit later on, while satisficers (a portmanteau of “satisfied” and “sufficed” first coined by the Nobel laureate Herbert Simon in 1956) will make choices based on a modest criteria.

¶10Maximisers, for example, may pay more for a bigger car than they actually need in case they want a bigger one in future, whereas a satisficer is likely to pick the car that is good for now. Maximisers set themselves high standards and are disappointed when they fail to reach them, lingering on what was lost rather than what they have. Both have been the subject of many studies, but one from 2011 conducted by a team led by Joyce Erlingher from Florida State University and published in the journal Personality and Individual Differences aimed to explore whether “maximisers show less commitment to their choices than satisficers in a way that leaves them less satisfied”. That is, are maximisers more likely to be unhappy with their choice, once they finally land on it? Their conclusion: a resounding yes. “Maximisers miss out on the psychological benefits of commitment,” the authors say. “Current research is trying to understand whether they can change. High-level maximisers certainly cause themselves a lot of grief.”

¶11Perhaps then, those with Fobo are simply maximisers facilitated by contemporary technology, or perhaps contemporary technology is turning more of us into maximisers. Or maybe people just don’t really want to do half the things they say they do. Whatever the case, for McGinnis, correctly identifying this phenomena and giving it a name is crucial in changing these behaviours, which he sees as being “destructive”. “It’s my view that Fomo isn’t all bad because Fomo can be that little whisper in your ear that we should try something different. If you see your friend starting a business on the side, or you see your friends going on a vacation to Malta and you feel Fomo, that’s a cue to try something else and open up your perspective. So a little Fomo is fine. But Fobo is not good.”

¶12O’Donaghue however, is not so concerned about tackling her Fobo. “I think its an inherent part of my personality,” she says. “People get used to you being like that if you’re good friends.”

¶13Neither is Hall. “It’s part of who I am, I have always been this way” he says. “Last year, it took four attempts and three hours for me to buy a turkey, looking across M&S, Waitrose, Tesco, Sainsbury’s. In fact, it got so late, they couldn’t even deliver it by the time I chose one.” But he is confident he will get this year’s turkey soon. He has already decided which one.

🔑 핵심 어휘 (Vocabulary)

granularadj.아주 세세한Such granular decision-making went on and on
tot upv.합산하다, 따져 보다attempting to tot up all the different variables
indecisionn.우유부단, 결정 못 함Indecision when the decision is simple
coinv.(새 말을) 만들어 내다a social phenomenon coined by Patrick McGinnis
venture capitalistn.벤처 투자자a US venture capitalist
afflictedadj.(병·문제에) 시달리는a Fobo-afflicted person may find themselves overwhelmed by the possibilities
analysis paralysisn.분석 마비(따지다가 결정 못 함)some call this “analysis paralysis”
hold back onv.~을 주저하다, 보류하다Someone with Fobo is likely to hold back on commitment
bailv.(약속을) 갑자기 취소하다I bail at the last minute, all the time
ditheringn.망설임, 우물쭈물Such dithering can be exhausting for friends and family
ruefullyadv.씁쓸하게, 후회하듯she laughs ruefully
acceleratev.가속화하다has accelerated Fomo and Fobo into a common social behaviour
narcissismn.자기애, 나르시시즘Fobo is driven by narcissism
on holdphr.보류된, 대기 상태로which leaves all the people around you on hold
pervasiveadj.만연한, 널리 퍼진that was a pervasive behaviour at Harvard
afflictionn.고통, 병폐Fobo is an affliction of affluence
affluencen.풍요, 부유Fobo is an affliction of affluence
executive functionsn.(뇌의) 실행 기능involving several of the brain’s executive functions
impairedadj.손상된, 약해진where executive functions can be impaired
euphemismn.완곡어an easy-to-swallow euphemism for something more serious or taboo
pre-existingadj.기존의, 이미 있던a trigger for a pre-existing anxiety condition
mournv.애도하다, 슬퍼하다the fear of having to mourn the road untaken
maximisern.최대화 추구자Maximisers are people who make a choice based on maximum benefit later on
satisficern.만족화 추구자(적당하면 만족)satisficers (a portmanteau of “satisfied” and “sufficed”
portmanteaun.혼성어(두 단어를 합친 말)a portmanteau of “satisfied” and “sufficed”
linger onv.~에 계속 머물러 생각하다lingering on what was lost rather than what they have
resoundingadj.확실한, 압도적인a resounding yes
griefn.괴로움, 비탄High-level maximisers certainly cause themselves a lot of grief
inherentadj.타고난, 고유한I think its an inherent part of my personality

📐 구문 포인트

📐 원문 문장으로 보는 구문
  1. “he wondered, attempting to tot up all the different variables”
    분사구문(부대상황): attempting ~ 의 의미상 주어 = 주절 주어 he. ‘~하려고 애쓰면서’.
  2. “Indecision when the decision is simple, or the options all acceptable, is the defining characteristic of “fear of better options””
    주어 Indecision(단수)이 when 절로 길어진 구조 → 동사 is. the options (are) all acceptable 에서 be 동사 생략(공통 구문).
  3. “a social phenomenon coined by Patrick McGinnis, a US venture capitalist and the man known for coining the term Fomo”
    과거분사 후치수식(coined by ~, known for ~) + 동격 콤마(Patrick McGinnis = a US venture capitalist and the man …). known for + 동명사(coining).
  4. “Go on Amazon to buy a pair of white shoelaces and you have in excess of 200 choices”
    「명령문 + and」 = If you go on Amazon …, you have … (‘~하면 …’). to buy 는 목적의 to부정사.
  5. “So the richer you are, the more powerful you are, the more options you have.”
    「the 비교급 …, the 비교급 …」 ‘~할수록 더 …하다’ — 세 항목 연쇄.
  6. “which leaves all the people around you on hold”
    계속적 용법 which: 선행사 = 앞 절 전체(자기 이익을 앞세우는 것). leave + 목적어 + 보어(on hold) ‘~을 …한 상태로 두다’.
  7. “So we would rather not decide at all and keep all of our options open.”
    would rather (not) + 동사원형: ‘차라리 ~하지 않겠다’. 병렬 (not) decide … and keep, keep + O + C(open).
  8. “lingering on what was lost rather than what they have”
    분사구문(결과·부대상황) lingering ~ / A rather than B 병렬: what was lost(잃은 것) vs what they have(가진 것) — 관계대명사 what 명사절 두 개.

📝 문단별 요약

  1. ¶1 Mike Hall(48, Winchester 경영 컨설턴트)은 크리스마스 칠면조 크기·종류를 따지다 지쳐 포기 — 아직 못 샀다. 결정이 단순하거나 선택지가 모두 괜찮은데도 결정 못 하는 것이 Fobo 의 정의적 특징. 명명자는 Fomo 도 만든 미국 벤처 투자자 Patrick McGinnis. 사소한 결정(TV·저녁)부터 중대한 결정(이직)까지 일어나며 ‘analysis paralysis’ 라고도 함.
  2. ¶2 예: 금요일 밤 — 동료 모임/다른 파티/Tinder 데이트/룸메이트의 식당 → 약속을 미루거나 약속 후 취소. Aoife O’Donaghue(24, Edinburgh 졸업생)는 막판 취소가 잦고, 가장 작은 결정이 제일 어렵다 — 도서관 vs 카페로 15분 고민하다 스트레스성 복통, 결국 둘 다 갔다.
  3. ¶3 McGinnis(책 준비 중, 팟캐스트 Fomo Sapiens): Fobo 는 꼭 새로운 행동이 아니다 — ‘최선을 원하는 생물학’. 그러나 기술·인터넷이 Fomo(비교)와 Fobo(선택 과잉)를 흔한 사회 행동으로 가속. Amazon 흰 신발끈 200개 이상 vs 50년 전 Woolworths 3개. 감정적 요인: Fobo 는 나르시시즘 — 자기 이익을 앞세워 주변 사람을 대기시킨다.
  4. ¶4 McGinnis 는 15년 전 Harvard Business School 논문에서 두 용어를 만들 때 직접 겪었다: New England 소도시 출신으로 기회가 넘치는 하버드에 압도 — 다 하고 싶음(Fomo) + 아무것도 포기 못 하고 막판까지 기다림(Fobo). 선택이 풍부한 환경이라 하버드에 만연.
  5. ¶5 Fomo vs Fobo 의 주된 차이: Fomo 는 스마트폰으로 남의 (조작된) 삶을 보는 누구나 느낄 수 있지만, Fobo 는 특권층의 문제 — ‘풍요의 병’, 선택지가 있어야 생긴다. 개인뿐 아니라 대기업(빅데이터로 하지 않을 이유를 찾음)·국가도: Brexit — May 총리 제안마다 의원들이 조금 더 나은 안을 기다려 표결 불가.
  6. ¶6 O’Donaghue 의 반론: 자신이 특권층이긴 하지만 고르는 것은 저녁·TV 처럼 사치스럽지 않다 — 과잉 사고(overthinking)의 문제일지도.
  7. ¶7 의사결정은 계획~충동 관리에 이르는 뇌의 실행 기능을 쓰는 복잡한 과정. ADHD·자폐처럼 실행 기능이 손상될 수 있는 경우 선택에 어려움을 겪을 수 있다.
  8. ¶8 Fobo 는 불안장애의 완곡어인가? Anxiety UK 의 Nicky Lidbetter: 아니다 — 기존 불안 상태와 연결되거나 그 촉발 요인일 가능성이 크지, 독자적 불안장애로 분류될 만하진 않다. Fobo 의 ‘공포’ = McGinnis: 놓아 버림에 대한 공포, 가지 않은 길을 애도해야 하는 공포 → 결정을 안 하고 선택지를 다 열어 둔다.
  9. ¶9 심리학적 근거: 사람은 maximisers(나중의 최대 이익 기준 선택)와 satisficers(‘satisfied’+‘sufficed’ 혼성어, 1956년 노벨상 수상자 Herbert Simon 이 처음 사용, 적당한 기준으로 선택)로 나뉜다.
  10. ¶10 예: maximiser 는 나중을 대비해 필요 이상으로 큰 차를, satisficer 는 지금 좋은 차를 고른다. maximiser 는 기준이 높아 못 미치면 실망하고 가진 것보다 잃은 것에 머문다. 2011년 Joyce Erlingher(Florida State University) 연구(Personality and Individual Differences): maximiser 는 선택에 덜 헌신해 덜 만족하는가? → 확실한 yes. ‘헌신의 심리적 이점을 놓친다.’
  11. ¶11 Fobo 를 가진 이들은 현대 기술의 도움을 받은 maximiser 이거나, 기술이 더 많은 사람을 maximiser 로 만드는 중일 수도, 혹은 말하는 일의 절반은 사실 원치 않는 것일 수도. McGinnis: 현상을 정확히 식별·명명하는 것이 ‘파괴적’ 행동을 바꾸는 데 결정적. Fomo 는 새로운 시도를 권하는 속삭임일 수 있어 조금은 괜찮지만, Fobo 는 좋지 않다.
  12. ¶12 O’Donaghue 는 Fobo 를 고치는 데 별 관심 없음 — 성격의 일부이고, 좋은 친구라면 익숙해진다.
  13. ¶13 Hall 도 마찬가지 — 원래 이런 사람. 작년엔 M&S·Waitrose·Tesco·Sainsbury’s 를 4번 시도·3시간 → 너무 늦어 배송 불가. 올해 칠면조는 곧 살 거라 자신하며, 이미 어느 것을 살지 정했다.

🎯 핵심 개념 정리 — Fobo · Fomo · McGinnis · Maximiser/Satisficer · 연구 결론

Fobo 정의
fear of better options. 결정이 단순하거나 선택지가 모두 수용 가능한데도 결정하지 못하는 것(정의적 특징). 결과가 보장되지 않고 일부 선택지는 실제로 존재하지도 않는데 ‘있을 수도 있는 가능성’에 압도됨 = analysis paralysis. 행동: 약속 보류 또는 약속 후 취소.
“Indecision when the decision is simple, or the options all acceptable, is the defining characteristic of “fear of better options” – or Fobo”
“even when no outcome is guaranteed, and when some of those options aren’t even on the table”
“Someone with Fobo is likely to hold back on commitment, or commit then cancel.”
Fomo 와 차이
Fomo = 남과 비교해서 생김(스마트폰으로 남의 삶을 보는 누구나). Fobo = 선택 과잉에서 생김, 선택지가 있어야 하므로 특권층의 문제(‘affliction of affluence’). McGinnis 평가: Fomo 는 새 시도를 권하는 신호일 수 있어 조금은 괜찮지만 Fobo 는 좋지 않다.
“we are now able to easily compare ourselves with each other (thus producing feelings of Fomo) and overwhelm ourselves with choice (producing Fobo)”
“Anyone with a smartphone looking over the often manipulated and unrealistic lives of others on social media might feel Fomo. But Fobo, according to McGinnis, is an issue for the privileged.”
“To have Fobo you must have options.”
Patrick McGinnis
미국 벤처 투자자. Fomo·Fobo 두 용어의 명명자 — 15년 전 Harvard Business School 논문. 팟캐스트 Fomo Sapiens·출간 예정 책. 주장: ① Fobo 는 꼭 새로운 행동이 아님(최선을 원하는 생물학) ② 기술·인터넷이 가속 ③ 나르시시즘이 원동력 ④ 공포의 정체 = ‘fear of letting go’ ⑤ 기업·국가(Brexit)도 Fobo ⑥ 명명이 행동 변화에 중요.
“a US venture capitalist and the man known for coining the term Fomo”
“when he coined the terms in a Harvard Business School paper 15 years ago”
“I call it the biology of wanting the best.”
“Fobo is driven by narcissism”
“McGinnis says it is a “fear of letting go””
“correctly identifying this phenomena and giving it a name is crucial in changing these behaviours”
Maximiser / Satisficer
Maximiser: 나중의 최대 이익 기준 → 필요 이상 큰 차, 높은 기준, 실패 시 실망, 잃은 것에 머묾. Satisficer: ‘satisfied’+‘sufficed’ 혼성어(Herbert Simon, 1956), 적당한 기준 → 지금 좋은 차.
“Maximisers are people who make a choice based on maximum benefit later on”
“first coined by the Nobel laureate Herbert Simon in 1956”
“whereas a satisficer is likely to pick the car that is good for now”
“Maximisers set themselves high standards and are disappointed when they fail to reach them, lingering on what was lost rather than what they have.”
연구 결론
2011년, Joyce Erlingher(Florida State University) 연구팀, 학술지 Personality and Individual Differences. 질문: maximiser 는 satisficer 보다 선택에 덜 헌신해 덜 만족하는가? 결론: 확실한 yes — 헌신의 심리적 이점을 놓친다. 변할 수 있는지는 현재 연구 중.
“one from 2011 conducted by a team led by Joyce Erlingher from Florida State University and published in the journal Personality and Individual Differences”
“Their conclusion: a resounding yes.”
“Maximisers miss out on the psychological benefits of commitment”
“Current research is trying to understand whether they can change.”
Fobo ≠ 불안장애
Anxiety UK 의 Nicky Lidbetter: Fobo 는 기존 불안 상태와 연결되거나 그 촉발 요인일 가능성이 크지, 독자적 불안장애로 분류될 만하진 않다.
“is more likely to be linked to or a trigger for a pre-existing anxiety condition as opposed to being sufficient to warrant being categorised as an anxiety disorder in its own right”

💬 수업 Discussion / Motion

💬 노트 원문 그대로 + 답변 포인트·찬반 근거 (이소라 쌤 수업 노트)

① Situation A–F → FOBO / Not FOBO / It depends

⇒ FOBO / Not FOBO / It depends
Situation A
You spend 30 mins choosing which Netflix series to watch
“Fobo can occur everywhere from minor decisions – what to watch on TV, what to eat for dinner”
Situation B
You compare several universities before deciding where to apply
“to more significant ones such as whether to take a new job”
Situation C
You spend two weeks companing different phones before buying one.
“Go on Amazon to buy a pair of white shoelaces and you have in excess of 200 choices”
Situation D
You refuse to make weekend plans because a better invitation might appear.
“Someone with Fobo is likely to hold back on commitment, or commit then cancel.”
Situation E
You check fine different restaurants before choosing where to have dinner.
“what to eat for dinner”
Situation F
You change your university application at the last minute because you think another option might be better.
“I would wait until the last minute to see if a better option came along.”
※ 교사의 정답은 노트에 없다. 위 판정은 원문 정의에 맞춘 예시 답이며, 수업 토론처럼 ‘It depends’ 로 쓰더라도 정의 문장을 근거로 대면 된다.

② 선택지가 많을수록?

Why does having more choices sometimes make choosing harder?
“In order to choose something you must let go of another thing and it’s the fear of having to mourn the road untaken.”
Would you rather have 3 choices or 30 choices?
“50 years ago you would go to Woolworths and choose between three”
“maximisers more likely to be unhappy with their choice”
When does having more choices become stressful?
“O’Donaghue describes working herself up over this for 15 minutes until she had a stress-induced stomach ache.”
Is a wider range of choices always a good thing?
“all of the MPs were waiting for a slightly better option”

③ Maximizer / Satisficer 자가진단

Definitely a Maximizer / Mostly a Maximiser Mostly a satisficer / Definitely a satisficer
“I read dozens of reviews before buying something.”
“make a choice based on maximum benefit later on”
“I compare prices even after I’ve decided what to buy.”
“lingering on what was lost rather than what they have”
“I usually choose the first option that seems good enough.”
“will make choices based on a modest criteria”
“I often wonder whether another option would have been better.”
“maximisers show less commitment to their choices than satisficers in a way that leaves them less satisfied”
Maximizer – seeks maximum benefit keeps comparing regret alternatives Satisficer – accepts a reasonable option modest criteria decides sooner moves on more easily.

④ Motion 토론 — 선택과 자유

⚖️ Technology has given us more freedom, but less satisfaction.
Agree 근거 2
  1. 기술이 선택지를 폭증시켰다 — 신발끈 200개 이상 vs 50년 전 3개.
    “Go on Amazon to buy a pair of white shoelaces and you have in excess of 200 choices, whereas 50 years ago you would go to Woolworths and choose between three”
  2. 현대 기술이 사람들을 덜 만족하는 maximiser 로 만들고 있을 수 있다.
    “perhaps contemporary technology is turning more of us into maximisers”
Disagree 근거 2
  1. 불만족은 기술 탓만이 아니다 — Fobo 는 꼭 새로운 행동이 아니라 ‘최선을 원하는 생물학’.
    “argues that Fobo is not necessarily a new human behaviour”
  2. 성격의 문제로 보는 당사자들도 있다(Hall·O’Donaghue).
    “It’s part of who I am, I have always been this way”
⚖️ Motion: Having too many choices makes people less free.
Agree 근거 2
  1. 선택지가 넘치면 가능성에 압도돼 결정 자체를 못 한다(analysis paralysis) — 선택할 수 없으면 자유가 아니다.
    “a Fobo-afflicted person may find themselves overwhelmed by the possibilities of what might be”
  2. maximiser 는 헌신의 이점을 놓치고 덜 만족한다.
    “Maximisers miss out on the psychological benefits of commitment”
Disagree 근거 2
  1. 선택지는 권력·특권의 표시 — 부유하고 힘 있을수록 선택지가 많다(덜 자유가 아님).
    “So the richer you are, the more powerful you are, the more options you have.”
  2. 문제는 선택지 수가 아니라 선택 방식 — satisficer 는 적당한 기준으로 빨리 정한다 / ‘overthinking’ 의 문제.
    “Maybe my problem is one of overthinking.”
You can remove 50% of the choices in your life would you do it?
“choose between three”
“To have Fobo you must have options.”
Is freedom about having more choices or about being able to choose without being overwhelmed by them?
“Fobo is the inability to choose between one of many acceptable outcomes.”

🧭 서술형 연결 — Algorithm · personal taste 에 쓸 근거 문장

  1. 선택 과잉 ↔ 알고리즘 피드의 ‘소화 못 할 양’(A2)
    “overwhelm ourselves with choice (producing Fobo)”
  2. Maximiser 와 알고리즘 추천: 기술이 사람을 maximiser 로 만든다
    “perhaps contemporary technology is turning more of us into maximisers”
  3. 헌신·일관성 = 취향의 조건(A2 ‘commitment and consistency’)과 연결
    “Maximisers miss out on the psychological benefits of commitment”
  4. ‘놓아 버림’의 공포 — 알고리즘이 무한 선택을 주는 구조와 연결
    “So we would rather not decide at all and keep all of our options open.”
  5. 명명의 중요성 → ‘label fatigue’·‘algorithmic fatigue’ 처럼 이름 붙이기
    “correctly identifying this phenomena and giving it a name is crucial in changing these behaviours”
심화영어독해 중간 · 이소라 쌤 · 수업자료 정리본 · 외대부고 2학년 2학기 · 한정연