A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs

Tae Yano · Dani Yogatama · Noah A. Smith

11 citations0/0 files storedProceedings of the International AAAI Conference on Web and Social Media

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Computational and Text Analysis Methods Social Media and Politics Political Influence and Corporate Strategies

Abstract

Who influences a politician’s public statements? In this paper, we explore one plausible explanation: that financial incentives from campaign contributors affect what politicians say. Based on this idea, we design text-driven models for campaign contribution profile prediction. Using a large corpus of public microblog messages by members of the U.S. Congress, we find evidence for such an association, at the level of contributing industries. We find complementary strengths in a simple model (which has better predictive accuracy) and a more complex model (which gives a more intuitive, human-interpretable explanation).

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References

2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment 2010Twitter use by the U.S. Congress 2009A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases 2012How Words and Money Cultivate a Personal Vote: The Effect of Legislator Credit Claiming on Constituent Credit Allocation 2012No, You Cannot Predict Elections with Twitter 2011Predicting Legislative Roll Calls from Text 2018Textual Predictors of Bill Survival in Congressional Committees 2006An automated method of topic-coding legislative speech over time with application to the 105th-108th U.S. senate

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2015A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns 2015Predicting Merger Targets and Acquirers from Text 2023The Value of a Like: Facebook, Viral Posts, and Campaign Finance in US Congressional Elections

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