調查局三等
115年
[調查工作組] 外國文(英文)
第 37 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.
According to the passage, how do modern online platforms differ from earlier forms of browsing?
- A They use ranking systems that make some content easier to encounter.
- B They allow users to build chaotic profiles with personal music and animations.
- C They require users to walk through unfamiliar genres before choosing media.
- D They mainly preserve obscure websites and amateur materials from the early internet.
思路引導 VIP
請回想文章第一段所說的演進過程：早期的網路瀏覽充滿了隨機與驚喜，那麼現代平台主要運用了什麼樣的機制，來改變使用者接觸內容的方式呢？
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AI 詳解
AI 專屬家教
太棒了，精準掌握了文章細節！選擇 (A) 完全正確。 第一段明確指出，現代平台運用強大的「排序系統（ranking systems）」持續推廣主流內容，使得某些內容更輕易被使用者接觸到。這題的切入點在於新舊瀏覽模式的對比：選項 (B) 與 (D) 描述的是早期網路的混亂與素人風格，而 (C) 則是實體唱片行的瀏覽體驗。 本題的鑑別度在於干擾項皆取材自文章細節，容易誘使僅憑關鍵字定位的考生答錯。你能精準區分時間軸與對象的轉移，代表對文章的整體脈絡與邏輯有著非常清晰的理解！