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.
CITATION STYLE
Bacaksizlar, N. G., Shaikh, S., & Hadzikadic, M. (2019). Anger in protest networks on twitter. In Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on ICT, Society and Human Beings 2019, Connected Smart Cities 2019 and Web Based Communities and Social Media 2019 (pp. 415–419). IADIS Press. https://doi.org/10.33965/wbc2019_201908c054
Mendeley helps you to discover research relevant for your work.