Monitoramento das eleições brasileiras de 2022: affordances das plataformas YouTube, Instagram, TikTok, Twitter e Facebook e os usos em campanhas digitais

Daniela Osvald Ramos, Pablo Emanuel Romero Almada, Natasha Bachini Pereira, Marcos César Alvares
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引用次数: 0

Abstract

In this paper, we discuss the results of monitoring the 2022 Brazilian elections on YouTube, Instagram, Tik Tok, Twitter/X and Facebook platforms based on the affordances present in each of them. Based on the bibliographic review, we propose a typology of affordances, classifying them according to their application in political campaigns and information flows. Next, we present the methodological procedures for the collection carried out, observing the affordances visible in the algorithmic architecture of the platforms. By analyzing the data, we identify and discuss the affordances on each platform and the ways in which they link with political content. We conclude by pointing out how the specific strategies are configured for each environment, in addition to highlighting the construction of a broader narrative, woven by a wider range of actors, in which the platforms participate in different ways in its composition.
监测 2022 年巴西大选:YouTube、Instagram、TikTok、Twitter 和 Facebook 平台的功能及其在数字竞选中的应用
在本文中,我们根据 YouTube、Instagram、Tik Tok、Twitter/X 和 Facebook 平台中存在的负担能力,讨论了对 2022 年巴西大选的监测结果。在文献综述的基础上,我们提出了负担能力类型学,并根据其在政治活动和信息流中的应用进行了分类。接下来,我们介绍了收集数据的方法步骤,观察平台算法架构中的可承受性。通过分析数据,我们确定并讨论了每个平台上的可负担性及其与政治内容的关联方式。最后,我们指出每个环境的具体策略是如何配置的,并强调了由更广泛的参与者编织的更广泛的叙事的构建,其中平台以不同的方式参与了叙事的构成。
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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