Emotional showdown on social media: analyzing user reactions to the 2016 US presidential campaign

Author:

Bagić Babac Marina

Abstract

Purpose Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media. Design/methodology/approach For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance. Findings The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts. Originality/value Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

Publisher

Emerald

Subject

Library and Information Sciences

Reference80 articles.

1. An analysis of sentiments on Facebook during the 2016 U.S. Presidential election,2016

2. Social media and fake news in the 2016 election;Journal of Economic Perspectives,2017

3. Almasy, S. (2016), “Muhammad Ali 'the greatest,' dies at 74”, Madison Park and Joe Sutton, CNN, available at: http://edition.cnn.com/2016/06/03/us/muhammad-ali/ (accessed April 23).

4. A review in campaigns: going positive and negative,2016

5. Does television viewership predict presidential election outcomes?;Big Data,2015

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