Pepperdine Digital Commons - Seaver College Research And Scholarly Achievement Symposium: From Posts to Politics: The Relationship Between Social Media and Political Behavior and Attitudes
 

From Posts to Politics: The Relationship Between Social Media and Political Behavior and Attitudes

Author(s)

Sarah RietzFollow

Presentation Type

Oral Presentation

Presentation Type

Submission

Keywords

Social Media, Affective Polarization, Trust in Government, Voter Turnout, U.S. Politics

Department

Political Science

Major

Political Science

Abstract

This study examines how social media usage predicts three key dimensions of U.S. political behavior and attitudes: affective polarization, trust in government, and voter turnout. Using post-COVID-19 data from the 2022 American National Election Studies (ANES) Social Media Study, the analysis evaluates whether greater social media engagement is associated with affective polarization, reduced trust in government, and voter turnout. Regression analyses reveal that while overall social media usage does not directly predict affective polarization, platform-specific effects emerge. TikTok engagement is associated with lower levels of affective polarization, while Reddit engagement correlates with intensified partisan hostility. Social media engagement does not significantly predict trust in government when examined as a whole, but platform-level variation indicates that TikTok use is associated with increased confidence in government institutions, while YouTube use corresponds with greater skepticism. Contrary to prior theories that suggest social media mobilizes voters, the study finds that greater social media engagement is linked to lower voter turnout, particularly among TikTok and YouTube users. By analyzing both aggregate and platform-specific effects, the research highlights the divergent ways social media is associated with political attitudes and behaviors. The findings contribute to the literature by addressing gaps related to newer social media platforms and post-pandemic political behavior, offering new insights into the complex relationship between digital engagement and democratic participation.

Faculty Mentor

Brian Newman

Funding Source or Research Program

Political Science Honors Program

Location

Black Family Plaza Classroom 189

Start Date

11-4-2025 3:00 PM

End Date

11-4-2025 3:15 PM

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Apr 11th, 3:00 PM Apr 11th, 3:15 PM

From Posts to Politics: The Relationship Between Social Media and Political Behavior and Attitudes

Black Family Plaza Classroom 189

This study examines how social media usage predicts three key dimensions of U.S. political behavior and attitudes: affective polarization, trust in government, and voter turnout. Using post-COVID-19 data from the 2022 American National Election Studies (ANES) Social Media Study, the analysis evaluates whether greater social media engagement is associated with affective polarization, reduced trust in government, and voter turnout. Regression analyses reveal that while overall social media usage does not directly predict affective polarization, platform-specific effects emerge. TikTok engagement is associated with lower levels of affective polarization, while Reddit engagement correlates with intensified partisan hostility. Social media engagement does not significantly predict trust in government when examined as a whole, but platform-level variation indicates that TikTok use is associated with increased confidence in government institutions, while YouTube use corresponds with greater skepticism. Contrary to prior theories that suggest social media mobilizes voters, the study finds that greater social media engagement is linked to lower voter turnout, particularly among TikTok and YouTube users. By analyzing both aggregate and platform-specific effects, the research highlights the divergent ways social media is associated with political attitudes and behaviors. The findings contribute to the literature by addressing gaps related to newer social media platforms and post-pandemic political behavior, offering new insights into the complex relationship between digital engagement and democratic participation.