Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit
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Abstract (arXiv)
We study the emergence of support for Donald Trump in Reddit's political discussion. With almost 800k subscribers, "r/The_Donald" is one of the largest communities on Reddit, and one of the main hubs for Trump supporters. It was created in 2015, shortly after Donald Trump began his presidential campaign. By using only data from 2012, we predict the likelihood of being a supporter of Donald Trump in 2016, the year of the last US presidential elections. To characterize the behavior of Trump supporters, we draw from three different sociological hypotheses: homophily, social influence, and social feedback. We operationalize each hypothesis as a set of features for each user, and train classifiers to predict their participation in r/The_Donald. We find that homophily-based and social feedback-based features are the most predictive signals. Conversely, we do not observe a strong impact of social influence mechanisms. We also perform an introspection of the best-performing model to build a "persona" of the typical supporter of Donald Trump on Reddit. We find evidence that the most prominent traits include a predominance of masculine interests, a conservative and libertarian political leaning, and links with politically incorrect and conspiratorial content.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 May 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 1.
6 papers.
- 2021Learning Ideological Embeddings from Information Cascadescited by 6
- 2025Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Studycited by 5
- 2023With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaignscited by 2
- 2022This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaigncited by 1
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
- 2021WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover's Distance in Sociocultural Analysiscited by 0
- 2025Behavioral Homophily in Social Media via Inverse Reinforcement Learning: A Reddit Case Study5 Feb 2025
- 2023With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns18 Jul 2023
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology14 Dec 2022
- 2022This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign14 Jan 2022
- 2021WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover's Distance in Sociocultural Analysis14 Oct 2021
- 2021Learning Ideological Embeddings from Information Cascades28 Sep 2021