mlsanityData to 7 Oct 2026

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship

arXiv 1801.01665 ↗First posted 5 Jan 2018cs.SIcited by 34

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Abstract (arXiv)

Echo chambers, i.e., situations where one is exposed only to opinions that agree with their own, are an increasing concern for the political discourse in many democratic countries. This paper studies the phenomenon of political echo chambers on social media. We identify the two components in the phenomenon: the opinion that is shared ('echo'), and the place that allows its exposure ('chamber' --- the social network), and examine closely at how these two components interact. We define a production and consumption measure for social-media users, which captures the political leaning of the content shared and received by them. By comparing the two, we find that Twitter users are, to a large degree, exposed to political opinions that agree with their own. We also find that users who try to bridge the echo chambers, by sharing content with diverse leaning, have to pay a 'price of bipartisanship' in terms of their network centrality and content appreciation. In addition, we study the role of 'gatekeepers', users who consume content with diverse leaning but produce partisan content (with a single-sided leaning), in the formation of echo chambers. Finally, we apply these findings to the task of predicting partisans and gatekeepers from social and content features. While partisan users turn out relatively easy to identify, gatekeepers prove to be more challenging.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jan 2018.

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Citing papers per year: 2021: 3; 2022: 3; 2023: 7; 2024: 9; 2025: 6; 2026: 6.

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  1. 2023From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Modelscited by 257
  2. 2024Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulationcited by 69
  3. 2025iAgent: LLM Agent as a Shield between User and Recommender Systemscited by 23
  4. 2021Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoderscited by 12
  5. 2021A Survey on Echo Chambers on Social Media: Description, Detection and Mitigationcited by 11
  6. 2024Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategycited by 9
  7. 2025Characterizing LLM-driven Social Network: The Chirper.ai Casecited by 9
  8. 2023KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Predictioncited by 8
  9. 2021Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Languagecited by 6
  10. 2022Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussioncited by 6
  11. 2023Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influencecited by 6
  12. 2023Hatemongers ride on echo chambers to escalate hate speech diffusioncited by 4
22 more
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  2. 2025Talking Point based Ideological Discourse Analysis in News Eventscited by 4
  3. 2024Putting Context in Context: the Impact of Discussion Structure on Text Classificationcited by 3
  4. 2022ClaimDiff: Comparing and Contrasting Claims on Contentious Issuescited by 2
  5. 2022Dynamic Causal Collaborative Filteringcited by 2
  6. 2023Learning Unbiased News Article Representations: A Knowledge-Infused Approachcited by 1
  7. 2024Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Mediacited by 1
  8. 2025Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientationcited by 1
  9. 2026Content Fuzzing for Escaping Information Cocoons on Digital Social Mediacited by 1
  10. 2023The Anatomy Spread of Online Opinion Polarization: The Pivotal Role of Super-Spreaders in Social Networkscited by 0
  11. 2024Note: Evolutionary Game Theory Focus Informational Health: The Cocktail Party Effect Through Werewolfgame under Incomplete Information and ESS Search Method Using Expected Gains of Repeated Dilemmascited by 0
  12. 2024Entanglement: Balancing Punishment and Compensation, Repeated Dilemma Game-Theoretic Analysis of Maximum Compensation Problem for Bypass and Least Cost Paths in Fact-Checking, Case of Fake News with Weak Wallace's Lawcited by 0
  13. 2024Note: Harnessing Tellurium Nanoparticles in the Digital Realm Plasmon Resonance, in the Context of Brewster's Angle and the Drude Model for Fake News Adsorption in Incomplete Information Gamescited by 0
  14. 2024Plasmon Resonance Model: Investigation of Analysis of Fake News Diffusion Model with Third Mover Intervention Using Soliton Solution in Non-Complete Information Game under Repeated Dilemma Conditioncited by 0
  15. 2024Introducing First-Principles Calculations: New Approach to Group Dynamics and Bridging Social Phenomena in TeNP-Chain Based Social Dynamics Simulationscited by 0
  16. 2025Optimizing Influence Campaigns: Nudging under Bounded Confidencecited by 0
  17. 2025A Mathematical Theory of Discursive Networkscited by 0
  18. 2026Measuring Social Media Polarization Using Large Language Models and Heuristic Rulescited by 0
  19. 2026Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensionscited by 0
  20. 2026Dharma, Data and Deception: An LLM-Powered Rhetorical Analysis of Cow-Urine Health Claims on YouTubecited by 0
  21. 2026YEZE at SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization via Heterogeneous Ensemblingcited by 0
  22. 2026How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messagescited by 0