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Characterizing debate performance via aggregated twitter sentiment

Diakopoulos, Nicholas A., Shamma, David A.·2010·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

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.

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Metadata

Authors
Diakopoulos, N. A., & Shamma, D. A.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2010-04-10
Pages
1195-1198
OpenAlex
W2021097538
Cited by
470
References
1
FWCI
37.68
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characterizing debate performance via aggregated twitter sentiment. https://app.cochat.ai/papers/10.1145/1753326.1753504
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Diakopoulos, N. A., & Shamma, D. A. (2010). Characterizing debate performance via aggregated twitter sentiment. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1753326.1753504

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