The Relevance of Algorithms

The Relevance of Algorithms is the Tarleton Gillespie paper that anchors 159.算法的六副面孔：它是如何从处理数据，变成定义我们是谁的. The episode treats it as an algorithm-sociology foundation because it asks how algorithms become public knowledge infrastructure rather than only how they compute an answer.

The paper’s six dimensions become the source’s “six faces”: Algorithmic Inclusion Patterns / 算法包含模式, Algorithmic Prediction Loop / 算法预判循环, Algorithmic Relevance Assessment / 算法相关性评估, Algorithmic Objectivity Promise / 算法客观性承诺, Algorithmic Entanglement / 算法与实践纠缠, and Calculated Publics / 计算出的公众. In the episode’s reading, these faces trace a chain from data intake to social identity: what gets counted, how a user is predicted, which result is ranked, how the result is legitimated, how users adapt, and how publics are computed.

Key Claims

• The source uses the paper to define Public Relevance Algorithms / 公共相关性的算法 as algorithms that decide and certify what counts as publicly relevant knowledge.
• Its strongest contribution to the wiki is a vocabulary for seeing recommendation, search, and platform feeds as media power.
• The source pairs the paper with Filterworld so the abstract framework has everyday examples from travel, music, creators, and social feeds.

Connections

• Tarleton Gillespie — author.
• Kyle Chayka and Filterworld — companion source used by the episode.
• PageRank Search Relevance, Recommendation System Productization, and Information Cocoon / 信息茧房 — existing wiki branches clarified by the paper’s framework.
• Marshall McLuhan / 麦克卢汉 and Walter Benjamin / 本雅明 — older media-theory references used to place algorithms in a media-history lineage.