If...Then

- 书名:If...Then
- 作者: TainaBucher
- 格式:PDF
- 时间:2024-07-10
- 评分:
- ISBN:9780190493035
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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输入昵称2020-10-17只读了19到28页,但内容很有趣,拓宽了我对“algorithm”的理解
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Simon.2020-12-10读了前三章,有点收获,但时而觉得作者不好好说话...
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Renee.2020-10-03joint agency
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Cathy2020-07-13This is precisely what Hayden seems to touch on when he claims that people are not a math problem: People are more complicated than an equation, more complex and unpredictable than what can be broken down into a few steps of instructions for a computer. In fact, Hayden thinks algorithms are fundamentally not that smart. They were not able, for example, to parse the fact that “views” means beautiful scenery, while it also happens to be the name of the rapper Drake’s newest album. So, when Hayden uses the hashtag “views” for all his recent images of sunsets and landscape pictures on Instagram, he is not interested in following a bunch of Drake fans, which an algorithm apparently suggested. What became apparent in many of the participants’ responses, then, is not just how algorithms are capab...
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Cathy2020-07-13The problem with algorithms, Ryan suggests, is “that they are just based on trends and past behavior. It can’t predict for you in the future, it just assumes you are going to repeat everything you’ve done in the past.”
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Cathy2020-07-13Memory is a powerful thing. It lives in the flash of a second and the duration of a lifetime, it emerges in lifelike dreams and the drowsiness of mornings. Memories can be recalled at will or willfully withdrawn. A memory is an event that connects us to the past and makes it possible to project a path for the future. Memory is an encounter, a distraction, an opportunity, a daydream, or a denial. In the digital age, memories can be made, encouraged, and programmed to make people participate more, share more, engage more. For Albert, this is where machines fall short—“just maybe, there isn’t an algorithm capable of capturing human experience,” he tweets. When asking Albert to provide some context to his tweet, he explains:‘I was tweeting about Facebook’s recent “Year in Review” fiasco, wher...
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