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Title:
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ANGER IN PROTEST NETWORKS ON TWITTER |
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Author(s):
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Nazmiye Gizem Bacaksizlar, Samira Shaikh and Mirsad Hadzikadic |
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ISBN:
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978-989-8533-90-6 |
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Editors:
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Piet Kommers and Guo Chao Peng |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Social Networks, Anger, Emotion, Twitter, Natural Language Processing, Protests |
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Type:
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Short Paper |
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First Page:
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415 |
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Last Page:
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419 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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We examine the influence relationships in online social networks and the distribution of anger during protests in
Charlotte, North Carolina (2016) and Charlottesville, Virginia (2017). We extracted mention and retweet networks of
users tweeting during these protests, and conducted emotion analysis on tweets to determine anger level of the users. We
found that users with most followers receive most mentions and retweets. Anger levels peaked early on and then tapered
off during both protests. The angriest users received few mentions and retweets. Our research has a potential to help
understand influence dynamics in protest communication networks and provides insights for public policy implications. |
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