Tarleton Gillespie

Tarleton Gillespie is the media scholar whose paper The Relevance of Algorithms provides the main framework for 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. [[DavidWeng|大卫翁]] uses Gillespie to shift the episode from a technical account of recommendation systems toward algorithm sociology: how algorithms classify, predict, rank, claim objectivity, become entangled with practice, and construct publics.

In the source, Gillespie matters because he names algorithms as social institutions, not only computational methods. His frame makes Public Relevance Algorithms / 公共相关性的算法 comparable to older media and knowledge systems: like editors, catalogues, indexes, and search engines, they decide what becomes visible and credible, while presenting that decision as technical order.

Key Claims

• Gillespie gives the episode its six-part analytical structure.
• His usefulness is that he treats algorithms as arrangements of data, models, institutions, and legitimacy claims rather than as neutral code.
• The source uses him to connect PageRank Search Relevance, platform feeds, social classification, and identity formation into one media-theory branch.

Connections

• The Relevance of Algorithms — paper used as the episode’s theoretical spine.
• Public Relevance Algorithms / 公共相关性的算法, 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 — concepts derived from the paper as presented by the source.
• Marshall McLuhan / 麦克卢汉 and Walter Benjamin / 本雅明 — media-theory references used nearby in the episode.
• [[QizhulouYanBinke|起朱楼宴宾客]] and [[DavidWeng|大卫翁]] — source show and speaker.