Using Candidates’ Tweets to Predict an Election Outcome

Understanding social media’s role in political communication is crucial in the evolving media landscape. Motivated by the transformative impact of social media on political engagement and discourse, this research fills an under-explored academic gap, studying the effects of geographic focus—local versus national—in candidates’ tweets on U.S. Senate election outcomes. It reveals a modest but significant correlation between the nature of political discourse and election competitiveness. Interestingly, strict adherence to party-centric topics did not significantly influence electoral success. The study assessed the performance of regression and classification models in forecasting election outcomes, with classification models demonstrating superior results. Both models provide a new benchmark for future studies in political communication on social media. These findings bear considerable implications for political practitioners, indicating that election success is not merely guaranteed by echoing party-centric issues or predominantly adopting a national communication scope.

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Publication Details

Journal
Political Research Quarterly
Published
2024-11-07
DOI
https://doi.org/10.1177/10659129241286827
Citations
4
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
3.83
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article

Using Candidates’ Tweets to Predict an Election Outcome

Nuno António, Paulo Rita, Francisco Afonso
4 citations
Political Research Quarterly
Social Media and Politics
3.83
article

Using Candidates’ Tweets to Predict an Election Outcome

Nuno António, Paulo Rita, Francisco Afonso
article en
4 citations

Abstract

Understanding social media’s role in political communication is crucial in the evolving media landscape. Motivated by the transformative impact of social media on political engagement and discourse, this research fills an under-explored academic gap, studying the effects of geographic focus—local versus national—in candidates’ tweets on U.S. Senate election outcomes. It reveals a modest but significant correlation between the nature of political discourse and election competitiveness. Interestingly, strict adherence to party-centric topics did not significantly influence electoral success. The study assessed the performance of regression and classification models in forecasting election outcomes, with classification models demonstrating superior results. Both models provide a new benchmark for future studies in political communication on social media. These findings bear considerable implications for political practitioners, indicating that election success is not merely guaranteed by echoing party-centric issues or predominantly adopting a national communication scope.

Political Research QuarterlyVol. 78(1)
Universidade Nova de Lisboa (PT)
Openalex Percentile: Top 7%
Social Media and Politics
3.83
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Using Candidates’ Tweets to Predict an Election Outcome — Nuno António, Paulo Rita, et al. · Political Research Quarterly (2024) | TGRS Research Map | TGRS