Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity
Ernesto Colacrai, Federico Cinus, Gianmarco De Francisci Morales, Michele Starnini
摘要
The prevalent perspective in quantitative research on opinion dynamics flattens the landscape of the online political discourse into a traditional left--right dichotomy. While this approach helps simplify the analysis and modeling effort, it also neglects the intrinsic multidimensional richness of ideologies. In this study, we analyze social interactions on Reddit, under the lens of a multi-dimensional ideological framework: the political compass. We examine over 8 million comments posted on the subreddits /r/PoliticalCompass and /r/PoliticalCompassMemes during 2020--2022. By leveraging their self-declarations, we disentangle the ideological dimensions of users into economic (left--right) and social (libertarian--authoritarian) axes. In addition, we characterize users by their demographic attributes (age, gender, and affluence). We find significant homophily for interactions along the social axis of the political compass and demographic attributes. Compared to a null model, interactions among individuals of similar ideology surpass expectations by 6%. In contrast, we uncover a significant heterophily along the economic axis: left/right interactions exceed expectations by 10%. Furthermore, heterophilic interactions are characterized by a higher language toxicity than homophilic interactions, which hints at a conflictual discourse between every opposite ideology. Our results help reconcile apparent contradictions in recent literature, which found a superposition of homophilic and heterophilic interactions in online political discussions. By disentangling such interactions into the economic and social axes we pave the way for a deeper understanding of opinion dynamics on social media.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper4
- Exploiting Language Power for Time Series Forecasting with Exogenous VariablesQihe Huang, Zhengyang Zhou, Kuo Yang, Yang WangWWW 2025 · 被引用 17 次
- Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient TransformationHe Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan 等WWW 2025 · 被引用 16 次
- Among Us: Language of Conspiracy Theorists on Mainstream RedditFrancesco Corso, Giuseppe Russo, Francesco Pierri, Gianmarco De Francisci MoralesACL 2026 · 被引用 2 次
- Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural NetworksHe Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor 等AAAI 2026
它引用的顶会 Paper1
相关 Paper
- Sub-Standards and Mal-Practices: Misinformation's Role in Insular, Polarized, and Toxic Interactions on RedditHans W. A. Hanley, Zakir DurumericCSCW 2025 · 被引用 2 次
- Aligning Multidimensional Worldviews and Discovering Ideological DifferencesJeremiah Milbauer, Adarsh Mathew, James EvansEMNLP 2021 · 被引用 7 次
- Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on RedditOrestis Papakyriakopoulos, Severin Engelmann, Amy A. WinecoffCHI 2023 · 被引用 27 次
- A Closer Look at Multidimensional Online Political IncivilitySagi Pendzel, Nir Lotan, Alon Zoizner, Einat MinkovEMNLP 2024 · 被引用 2 次
- Deliberate Exposure to Opposing Views and Its Association with Behavior and Rewards on Political CommunitiesAlexandros EfstratiouWWW 2024 · 被引用 2 次
