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Using Candidates’ Tweets to Predict an Election Outcome

Bibliographic Data

ID6340256
AuthorsFrancisco Afonso (0009-0007-0836-5724, NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Lisboa, Portugal), Paulo Rita (0000-0001-6050-9958, NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Lisboa, Portugal, corresponding author), Nuno António (0000-0002-4801-2487, NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Lisboa, Portugal)
Year2025
Volume78
Issue1
Pages323-340
Publication date2025-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitical Research Quarterly (JOURNAL)
Journal identifiersISSN: 1065-9129 • E-ISSN: 1938-274X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/10659129241286827
OpenAlexW4404136184
LanguageEN
Citations received1
References cited43

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

Economics · Mathematical economics · Outcome (game theory · Political science · Social media · Computer Science · Law · Media Influence and Politics · Misinformation and Its Impacts · Social Media and Politics

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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