Stuck With the Algorithm: Algorithmic Consciousness and Repertoire in Fridays for Future’s Data Contention

IF 2.7 2区 文学 Q1 COMMUNICATION
Giuliana Sorce
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引用次数: 1

Abstract

By focusing on the transnational youth climate movement Fridays for Future, this article explores how activists understand algorithms and how they try to use them in their digital campaigns. A qualitative case study, this article provides insights from nine virtual in-depth semi-structured interviews with organizers in social media roles from Fridays for Future country collectives across the globe, giving youth activists the opportunity to tell stories about their understandings and experiences in working in datafied spaces. Four central themes emerge via a three-step qualitative data analysis: algorithmic consciousness (understanding, functions, issues, pitfalls, and misinterpretations), algorithm as stake (contentious importance, tactical politics), algorithm as repertoire (role in activism, algorithmic campaigning), and data contention (data analysis, digital contentious tactics, uncritical uses). The interviews show that activists are stuck with the algorithm in two ways: They have to engage with them but are often unsure how. In that sense, activists frame algorithms as a stakeholder in their campaign but are often unclear on how they work. While organizers recognize algorithmic dependency on campaign success, they lack specific mobilization strategies, which prevents them from leveraging algorithms as a contentious tactic. Data contention includes conducting analytics and tailoring strategies to platforms; yet, datafied spaces are used largely uncritically. This article prompts scholars to go beyond textual analyses of digital activism and conduct research that centers on the experiences and practices of activists in dealing with algorithms and data as structural conditions for digital activism.
受困于算法:周五的算法意识和未来数据争夺的汇辑
通过关注跨国青年气候运动“未来星期五”,本文探讨了活动家如何理解算法,以及他们如何在数字运动中使用算法。作为一项定性案例研究,本文从周五对全球未来国家集体社交媒体组织者的九次虚拟深入半结构化采访中提供了见解,让青年活动家有机会讲述他们在数据化空间工作的理解和经历。通过三步定性数据分析,出现了四个中心主题:算法意识(理解、功能、问题、陷阱和误解)、算法作为利害关系(有争议的重要性、战术政治)、算法为曲目(在行动主义中的作用、算法竞选)和数据争用(数据分析、数字争议策略、非批判性使用)。采访显示,活动人士在两个方面被算法所困扰:他们必须与他们接触,但往往不确定如何接触。从这个意义上说,活动人士将算法定义为他们竞选活动中的利益相关者,但往往不清楚它们是如何工作的。虽然组织者认识到算法对竞选成功的依赖性,但他们缺乏具体的动员策略,这使他们无法将算法作为一种有争议的策略。数据竞争包括根据平台进行分析和调整策略;然而,数据化空间在很大程度上是不加批判地使用的。这篇文章促使学者们超越对数字激进主义的文本分析,以激进主义者在处理算法和数据作为数字激进术的结构条件方面的经验和实践为中心进行研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Media and Communication
Media and Communication COMMUNICATION-
CiteScore
5.80
自引率
3.20%
发文量
108
审稿时长
18 weeks
期刊介绍: Media and Communication (ISSN: 2183-2439) is an international open access journal dedicated to a wide variety of basic and applied research in communication and its related fields
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