調查局三等
115年
[調查工作組] 外國文(英文)
第 39 題
📖 題組：
Modern recommender algorithms are changing how individuals discover new culture online. Historically, browsing an old library or exploring the early internet involved a high degree of surprise, as users might stumble upon obscure books or unusual websites entirely by accident. Before the rise of social media, a homespun and amateurish aesthetic dominated much of the online landscape, allowing users to customize chaotic profiles with personal music, images, and animations. Today, however, major online platforms prioritize corporate efficiency by implementing powerful ranking systems that act like digital librarians. These automated systems often hide less-popular items behind search bars while continuously promoting mainstream content. This movement toward a highly curated digital life results in a critical loss of serendipity. Instead of expanding user horizons, personalization technologies trap individuals inside predictable “you loops,” where platforms constantly reflect back tastes, opinions, and entertainment that users already prefer. This continuous repetition of familiar content creates a stultifying environment that limits personal growth and intellectual transformation. When algorithms constantly filter out variation and difference, users are psychologically primed to reinforce their pre-existing behaviors rather than encounter alternative viewpoints. On modern interfaces like TikTok or Spotify, the traditional subscription model is increasingly overshadowed by automated recommendations, meaning that platforms play a larger role in deciding what passive users are likely to encounter. Beyond individual stagnation, this narrowing effect contributes to a broader flattening of contemporary culture. Because platforms reward content that generates predictable engagement, creative industries increasingly produce works designed to satisfy algorithmic metrics. For instance, visual artists and musicians may adjust their creative processes to fit specific platform profiles, leading to a widespread homogenization of global trends. To counteract this predictability, platform designers face growing pressure to rebuild randomness into recommender networks. Intentionally introducing less-popular or unexpected items from the hidden corners of the catalogue can restore the sense of adventure and discovery that once made digital spaces feel alive and open-ended. This design shift can decrease the passive consumption caused by automation and revive the traditional browsing experience of physical record stores. In those physical spaces, consumers had to walk past entirely unfamiliar genres before making a conscious choice, an active engagement that allowed individuals to break free from algorithmic sameness and transform their personal worldviews.
Modern recommender algorithms are changing how individuals discover new culture online. Historically, browsing an old library or exploring the early internet involved a high degree of surprise, as users might stumble upon obscure books or unusual websites entirely by accident. Before the rise of social media, a homespun and amateurish aesthetic dominated much of the online landscape, allowing users to customize chaotic profiles with personal music, images, and animations. Today, however, major online platforms prioritize corporate efficiency by implementing powerful ranking systems that act like digital librarians. These automated systems often hide less-popular items behind search bars while continuously promoting mainstream content. This movement toward a highly curated digital life results in a critical loss of serendipity. Instead of expanding user horizons, personalization technologies trap individuals inside predictable “you loops,” where platforms constantly reflect back tastes, opinions, and entertainment that users already prefer. This continuous repetition of familiar content creates a stultifying environment that limits personal growth and intellectual transformation. When algorithms constantly filter out variation and difference, users are psychologically primed to reinforce their pre-existing behaviors rather than encounter alternative viewpoints. On modern interfaces like TikTok or Spotify, the traditional subscription model is increasingly overshadowed by automated recommendations, meaning that platforms play a larger role in deciding what passive users are likely to encounter. Beyond individual stagnation, this narrowing effect contributes to a broader flattening of contemporary culture. Because platforms reward content that generates predictable engagement, creative industries increasingly produce works designed to satisfy algorithmic metrics. For instance, visual artists and musicians may adjust their creative processes to fit specific platform profiles, leading to a widespread homogenization of global trends. To counteract this predictability, platform designers face growing pressure to rebuild randomness into recommender networks. Intentionally introducing less-popular or unexpected items from the hidden corners of the catalogue can restore the sense of adventure and discovery that once made digital spaces feel alive and open-ended. This design shift can decrease the passive consumption caused by automation and revive the traditional browsing experience of physical record stores. In those physical spaces, consumers had to walk past entirely unfamiliar genres before making a conscious choice, an active engagement that allowed individuals to break free from algorithmic sameness and transform their personal worldviews.
What does the word serendipity most likely mean in the passage?
- A The accurate prediction of user preferences.
- B The unexpected discovery of something interesting.
- C The organization of content according to popularity.
- D The repetition of familiar opinions and habits.
思路引導 VIP
請試著回到第一段觀察作者的描述：過去人們在網路探索時會「完全出於偶然（by accident）地撞見」罕見事物，但現在演算法卻把我們鎖在「可預測」的內容裡。請想一想，作者說現代科技讓我們「失去」的，究竟是一種什麼樣的體驗呢？
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AI 詳解
AI 專屬家教
太棒了，你的判斷非常精準！這題考查的是上下文詞義推斷（Vocabulary in Context）。 作者在第一段先描述過去人們探索網路時，常能「意外撞見（stumble upon... by accident）」罕見書籍或奇特網站，接著指出現代演算法將人鎖在可預測的迴圈中，導致這種「意外發現的樂趣（serendipity）」逐漸消失。因此，(B) 選項「意外發現有趣事物」完全符合文意。
語境對比與考點剖析
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