Alashri, SaudSrivatsav Kandala, SrinivasaBajaj, VikashParriott, EmilyAwazu, YukikaC. Desouza, Kevin2017-12-282017-12-282018-01-03978-0-9981331-1-9http://hdl.handle.net/10125/50110Social 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.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalData Analytics, Data Mining and Machine Learning for Social Media2016 Elections, US Elections, Facebook, Sentiment Analysis, Social Networks.Conference Paper10.24251/HICSS.2018.223