TY - GEN
T1 - Exploring controversy in Twitter
AU - Garimella, Kiran
AU - Mathioudakis, Michael
AU - De Francisci Morales, Gianmarco
AU - Gionis, Aristides
PY - 2016/2/27
Y1 - 2016/2/27
N2 - Among the topics discussed on social media, some spark more heated debate than others. For example, experience suggests that major political events, such as a vote for healthcare law in the US, would spark more debate between opposing sides than other events, such as a concert of a popular music band. Exploring the topics of discussion on Twitter and understanding which ones are controversial is extremely useful for a variety of purposes, such as for journalists to understand what issues divide the public, or for social scientists to understand how controversy is manifested in social interactions. The system we present processes the daily trending topics discussed on the platform, and assigns to each topic a controversy score, which is computed based on the interactions among Twitter users, and a visualization of these interactions, which provides an intuitive visual cue regarding the controversy of the topic. The system also allows users to explore the messages (tweets) associated with each topic, and sort and explore the topics by different criteria (e.g., by controversy score, time, or related keywords).
AB - Among the topics discussed on social media, some spark more heated debate than others. For example, experience suggests that major political events, such as a vote for healthcare law in the US, would spark more debate between opposing sides than other events, such as a concert of a popular music band. Exploring the topics of discussion on Twitter and understanding which ones are controversial is extremely useful for a variety of purposes, such as for journalists to understand what issues divide the public, or for social scientists to understand how controversy is manifested in social interactions. The system we present processes the daily trending topics discussed on the platform, and assigns to each topic a controversy score, which is computed based on the interactions among Twitter users, and a visualization of these interactions, which provides an intuitive visual cue regarding the controversy of the topic. The system also allows users to explore the messages (tweets) associated with each topic, and sort and explore the topics by different criteria (e.g., by controversy score, time, or related keywords).
KW - Controversy
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=84963543073&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963543073&partnerID=8YFLogxK
U2 - 10.1145/2818052.2874318
DO - 10.1145/2818052.2874318
M3 - Conference contribution
AN - SCOPUS:84963543073
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 33
EP - 36
BT - Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, CSCW 2016 Companion
PB - Association for Computing Machinery
T2 - 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2016
Y2 - 26 February 2016 through 2 March 2016
ER -