Date of Award

Spring 2026

Degree Type

Honors College Thesis

Academic Program

Political Science BA

Department

Political Science, International Development, and International Affairs

First Advisor

Dr. Marek Steedman

Second Advisor

Dr. Kayla Stan

Advisor Department

Political Science, International Development, and International Affairs; Geography and Geology

Abstract

This study examines how conspiracy-related content spread across social media platforms following the 2020 U.S. Presidential election, specifically the “Stop the Steal” (STS) movement. While conspiracy theories are often seen as influential on niche parts of the internet, less is known about how they compare to non-conspiracy content in terms of engagement, visibility, and how they change over time. To address this gap, this study uses a quantitative approach to compare STS and non-STS content across two distinct types of social media platforms: a text-based platform (Platform A) and a video-sharing platform (Platform B). Data was collected using keyword searches between November 2020 and February 2021, then analyzed at an overall aggregate level rather than focusing on individual users. Engagement was measured using platform-specific metrics, with Platform A using reblogs, favorites, and replies and with Platform B using views, likes, and comments. Kruskal–Wallis H tests were used to compare differences between groups because social media data are often unevenly distributed. The results show that STS content did not make up a substantial portion of overall activity on either platform; however, it showed different patterns depending on the platform. On Platform A, STS posts received more reblogs and favorites but fewer replies, suggesting that users were more likely to share the content than discuss it. On Platform B, STS videos received fewer views than non-STS videos and did not differ much in likes or comments, showing lower overall visibility.

Comments

Blanket Permission for Future Readers: Uncertain, please contact me with future requests at the following NON-USM email address: saleemelena7@gmail.com

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