Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50110

The 2016 US Presidential Election on Facebook: An Exploratory Analysis of Sentiments

File Size Format  
paper0223.pdf 929.66 kB Adobe PDF View/Open

Item Summary

dc.contributor.author Alashri, Saud
dc.contributor.author Srivatsav Kandala, Srinivasa
dc.contributor.author Bajaj, Vikash
dc.contributor.author Parriott, Emily
dc.contributor.author Awazu, Yukika
dc.contributor.author C. Desouza, Kevin
dc.date.accessioned 2017-12-28T00:53:22Z
dc.date.available 2017-12-28T00:53:22Z
dc.date.issued 2018-01-03
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50110
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.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.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
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
dc.identifier.doi 10.24251/HICSS.2018.223
Appears in Collections: Data Analytics, Data Mining and Machine Learning for Social Media


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons