Sciweavers

Share
CHI
2010
ACM

Characterizing debate performance via aggregated twitter sentiment

9 years 8 months ago
Characterizing debate performance via aggregated twitter sentiment
Television broadcasters are beginning to combine social micro-blogging systems such as Twitter with television to create social video experiences around events. We looked at one such event, the first U.S. presidential debate in 2008, in conjunction with aggregated ratings of message sentiment from Twitter. We begin to develop an analytical methodology and visual representations that could help a journalist or public affairs person better understand the temporal dynamics of sentiment in reaction to the debate video. We demonstrate visuals and metrics that can be used to detect sentiment pulse, anomalies in that pulse, and indications of controversial topics that can be used to inform the design of visual analytic systems for social media events. Author Keywords Video, TV, Affect, Twitter, Annotation, Debate, Journalism ACM Classification Keywords H5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous. General Terms Human Factors, Design
Nicholas Diakopoulos, David A. Shamma
Added 17 May 2010
Updated 17 May 2010
Type Conference
Year 2010
Where CHI
Authors Nicholas Diakopoulos, David A. Shamma
Comments (0)
books