The 2016 US Presidential Election on Facebook: An Exploratory Analysis of Sentiments Alashri, Saud Srivatsav Kandala, Srinivasa Bajaj, Vikash Parriott, Emily Awazu, Yukika C. Desouza, Kevin 2017-12-28T00:53:22Z 2017-12-28T00:53:22Z 2018-01-03
dc.description.abstract Social media platforms are valuable tools for political campaigns. In this study, we analyze a dataset representing over 22 thousand Facebook posts by candidates and over 48 million comments to understand the nature of online discourse. Specifically, we study the interaction between political candidates and the public during the 2016 presidential elections in the United States. We outline a novel method to classify commentators into four groups: strong supporters, supporters, dissenters, and strong dissenters. Comments by each group on policy-related topics are analyzed using sentiment analysis. Finally, we discuss avenues for future research to study the dynamics of social media platforms and political campaigns.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.223
dc.identifier.isbn 978-0-9981331-1-9
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Data Analytics, Data Mining and Machine Learning for Social Media
dc.subject 2016 Elections, US Elections, Facebook, Sentiment Analysis, Social Networks.
dc.title The 2016 US Presidential Election on Facebook: An Exploratory Analysis of Sentiments
dc.type Conference Paper
dc.type.dcmi Text
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