2021
DOI: 10.1609/icwsm.v9i1.14667
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It Is Not Only About Grievances: Emotional Dynamics in Social Media During the Brazilian Protests

Abstract: In the summer of 2013, Brazil experienced a period of conflict triggered by a series of protests. While the popular press covered the events, little empirical work has investigated how first-hand reporting of the protests occurred and evolved over social media and how such exposure in turn impacted the demonstrations themselves. In this study we examine over 42 million tweets shared during the three months of conflict in order to uncover patterns in online and offline protest-related activity as well as to exp… Show more

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Cited by 6 publications
(3 citation statements)
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“…On social media, narratives are often fragmented, consisting of chained posts that link events across multiple sources. Protest studies have focused on shared grievances, revealing people's determination and hardships (Costa et al 2015). Social media protests bring social justice and aid marginalized groups (Wu et al 2023).…”
Section: Protest Narrativesmentioning
confidence: 99%
“…On social media, narratives are often fragmented, consisting of chained posts that link events across multiple sources. Protest studies have focused on shared grievances, revealing people's determination and hardships (Costa et al 2015). Social media protests bring social justice and aid marginalized groups (Wu et al 2023).…”
Section: Protest Narrativesmentioning
confidence: 99%
“…The study of social media-mediated protests has been done regarding protest prediction [1], protest participation [5], and study of protest growth [17]. Protest participation study focuses on shared grievances and sheds light on the people's will and hardships [18]. Social media protests often bring social justice and help marginalized social groups [13].…”
Section: Related Workmentioning
confidence: 99%
“…Other networkbased approaches include collective action to conduct recent anti-government protests, where hashtag activism has helped reach mass mobilizaiton [3,8]. The analysis of textual features for understanding the sentiment of protest tweets shows the prevalence of negative sentiment [18] and specific psycholinguistic lexicons over the others [2]. The literature has extensively studied the prediction of protest through social media posts.…”
Section: Related Workmentioning
confidence: 99%