Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
Citations
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3,299 citations
1,379 citations
Cites background from "Predicting Elections with Twitter: ..."
...Social media play an important role in shaping political discourse in the U.S. and around the world (Bennett 2003; Benkler 2006; Sunstein 2007; Farrell and Drezner 2008; Aday et al. 2010; Tumasjan et al. 2010; O’Connor et al. 2010)....
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1,261 citations
Cites background from "Predicting Elections with Twitter: ..."
...Just in the past year there have been a number of papers looking at Twitter sentiment and buzz (Jansen et al. 2009; Pak and Paroubek 2010; O’Connor et al. 2010; Tumasjan et al. 2010; Bifet and Frank 2010; Barbosa and Feng 2010; Davidov, Tsur, and Rappoport 2010)....
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References
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"Predicting Elections with Twitter: ..." refers background in this paper
...Be it the tracking of influenza or consumer prices based on search terms (Choi & Varian, 2009; Ginsberg et al., 2009), the inference of relationships between people based on their phone records (Eagle, Pentland, & Lazer, 2009), or the structure of TV events or the box office of movies based on the real-time comments on Twitter (Asur & Huberman, 2010; Shamma, Kennedy, & Churchill, 2010)....
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...Be it the tracking of influenza or consumer prices based on search terms (Choi & Varian, 2009; Ginsberg et al., 2009), the inference of relationships between people based on their phone records (Eagle, Pentland, & Lazer, 2009), or the structure of TV events or the box office of movies based on the…...
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3,025 citations
"Predicting Elections with Twitter: ..." refers background in this paper
...One stream of research concentrates on understanding microblogging usage and community structures (e.g., Honeycutt and Herring 2009; Huberman, Romero, and Wu 2008; Java et al. 2007)....
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2,800 citations
1,909 citations
"Predicting Elections with Twitter: ..." refers background in this paper
...…Ginsberg et al., 2009), the inference of relationships between people based on their phone records (Eagle, Pentland, & Lazer, 2009), or the structure of TV events or the box office of movies based on the real-time comments on Twitter (Asur & Huberman, 2010; Shamma, Kennedy, & Churchill, 2010)....
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