作者简介

Taina Bucher is Associate Professor of Communication and IT at the University of Copenhagen. Her research focuses on the power and politics of algorithms in everyday life at the intersection of media studies, sociology and science, and technology studies.

内容简介

IF … THEN provides an account of power and politics in the algorithmic media landscape that pays attention to the multiple realities of algorithms, and how these relate and coexist. The argument is made that algorithms do not merely have power and politics; they help to produce certain forms of acting and knowing in the world. In processing, classifying, sorting, and ranking data, algorithms are political in that they help to make the world appear in certain ways rather than others. Analyzing Facebook’s news feed, social media user’s everyday encounters with algorithmic systems, and the discourses and work practices of news professionals, the book makes a case for going beyond the narrow, technical definition of algorithms as step-by-step procedures for solving a problem in a finite number of steps. Drawing on a process-relational theoretical framework and empirical data from field observations and fifty-five interviews, the author demonstrates how algorithms exist in multiple ways beyond code. The analysis is concerned with the world-making capacities of algorithms, questioning how algorithmic systems shape encounters and orientations of different kinds, and how these systems are endowed with diffused personhood and relational agency. IF … THEN argues that algorithmic power and politics is neither about algorithms determining how the social world is fabricated nor about what algorithms do per se. Rather it is about how and when different aspects of algorithms and the algorithmic become available to specific actors, under what circumstance, and who or what gets to be part of how algorithms are defined.


Taina Bucher is Associate Professor of Communication and IT at the University of Copenhagen. Her research focuses on the power and politics of algorithms in everyday life at the intersection of media studies, sociology and science, and technology studies.

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豆瓣评论

  • 左岸单行道
    STS perspective of looking at algorithmic power. What really matters is not what algorithms are and what they can do, but under what circumstances, with what level of capacities, and in what ways they become powerful. 12-20
  • 点苍
    算法当然不是全知全能的10-30
  • Waxapple
    a relational view. the ontology (dynamic and eventful, then we should investigate when and who instead of what; agency and accountability), epistemology, power and politics of algorithms.12-27
  • 漆窗
    過於乾淨潔白的學術文章,看的時候一如既往很氣,不斷在心裡問「這點小事真的重要嗎」——比如,算法歸類錯誤了某個人的身分細節(就像淘寶有時候以為我是老年婦女),和這個人可以微妙地調整他與算法的互動和對抗,這真的是當下我們面臨的「問題」嗎?!值得花這麼大的力氣,用這麼多的分析,去「關注」嗎?!真正的問題難道不是隱藏在這些精巧細緻的「權利的動態關係」之後嗎?!算法放大的、歪曲的那些刻板印象的根源,來自哪裡呢?!03-13
  • IrisZ9
    TB怎么不算欧洲彭兰呢 如出一辙的新传黑话缔造者(方便学渣死记硬背+随手引用)好懂 但反正我写不出来05-18

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