Low Government Performance and Uncivil Political Posts on Social Media: Evidence from the COVID-19 Crisis in the US
Kohei Nishi

TL;DR
This study investigates how worsening government performance during COVID-19 in the US correlates with increased uncivil political posts on social media, highlighting a link between public frustration and online incivility.
Contribution
It introduces a neural network-based method to classify uncivil posts and empirically links worsening COVID-19 conditions to increased uncivil political expressions directed at governors.
Findings
Worsening COVID-19 cases increase uncivil posts against governors.
Neural network effectively classifies uncivil political posts.
Public frustration manifests as incivility on social media during crises.
Abstract
Political expression through social media has already taken root as a form of political participation. Meanwhile, democracy seems to be facing an epidemic of incivility on social media platforms. With this background, online political incivility has recently become a growing concern in the field of political communication studies. However, it is less clear how a government's performance is linked with people's uncivil political expression on social media; investigating the existence of performance evaluation behavior through social media expression seems to be important, as it is a new form of non-institutionalized political participation. To fill this gap in the literature, the present study hypothesizes that when government performance worsens, people become frustrated and send uncivil messages to the government via social media. To test this hypothesis, the present study collected…
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Taxonomy
TopicsSocial Media and Politics · Hate Speech and Cyberbullying Detection · Misinformation and Its Impacts
