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Vernacular Visibility and Algorithmic Resistance in the Public Expression of Latin American Feminism
Media International Australia ( IF 2.441 ) Pub Date : 2021-12-20 , DOI: 10.1177/1329878x211067571
Gabriela Elisa Sued 1 , María Concepción Castillo-González 2 , Claudia Pedraza 3 , Dorismilda Flores-Márquez 4 , Sofía Álamo 5 , María Ortiz 5 , Nohemí Lugo 2 , Rosa Elba Arroyo 6
Affiliation  

This article seeks to understand how Latin American feminist public expression has gained algorithm-mediated visibility on social media. To this end, a cross-platform analysis was conducted for two issues: the legalisation of abortion in Argentina and the struggle to eliminate violence against women. The data were collected on four platforms: Twitter, Instagram, TikTok, and YouTube through the representative hashtags, ‘#abortolegal2020’, ‘#25N’, and ‘#niunamenos’. Digital critical methods were employed to gather data and approach high-visibility users, visual messages, and hashtagging practices. The findings reveal two configurations of algorithmic mediated visibility, formed by assemblages of actors, formats, and knowledge: platform vernaculars and algorithmic resistance. Both result in a mutual shaping between platforms, seeking to impose a quantitative logic of visibility, and feminist actors, using the tactics of algorithmic resistance to give visibility to the content, aesthetics, and resignified messages about their struggles.



中文翻译:

拉美女性主义公共表达中的白话可见度和算法阻力

本文旨在了解拉丁美洲女权主义的公开表达如何在社交媒体上获得以算法为中介的知名度。为此,针对两个问题进行了跨平台分析:阿根廷堕胎合法化和消除暴力侵害妇女行为的斗争。这些数据是在四个平台上收集的:Twitter、Instagram、TikTok 和 YouTube,通过具有代表性的主题标签“#abortolegal2020”、“#25N”和“#niunamenos”。数字关键方法被用来收集数据并接近高可见度的用户、视觉消息和标签实践。研究结果揭示了算法中介可见性的两种配置,由参与者、格式和知识的组合形成:平台方言和算法阻力。两者都导致平台之间的相互塑造,

更新日期:2021-12-20
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