mlsanityData to 7 Oct 2026

What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?

arXiv 1802.05287 ↗First posted 14 Feb 2018cs.SI cs.CYcited by 24

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Abstract (arXiv)

Over the past few years, a number of new "fringe" communities, like 4chan or certain subreddits, have gained traction on the Web at a rapid pace. However, more often than not, little is known about how they evolve or what kind of activities they attract, despite recent research has shown that they influence how false information reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web's information ecosystem. In August 2016, a new social network called Gab was created as an alternative to Twitter. It positions itself as putting "people and free speech first'", welcoming users banned or suspended from other social networks. In this paper, we provide, to the best of our knowledge, the first characterization of Gab. We collect and analyze 22M posts produced by 336K users between August 2016 and January 2018, finding that Gab is predominantly used for the dissemination and discussion of news and world events, and that it attracts alt-right users, conspiracy theorists, and other trolls. We also measure the prevalence of hate speech on the platform, finding it to be much higher than Twitter, but lower than 4chan's Politically Incorrect board.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 3; 2023: 7; 2024: 3; 2025: 3; 2026: 1.

24 papers.

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  1. 2024OLMo: Accelerating the Science of Language Modelscited by 599
  2. 2023Paloma: A Benchmark for Evaluating Language Model Fitcited by 53
  3. 2023SemEval-2023 Task 10: Explainable Detection of Online Sexismcited by 48
  4. 2021Self-Supervised Euphemism Detection and Identification for Content Moderationcited by 24
  5. 2021"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learningcited by 21
  6. 2023Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensivecited by 16
  7. 2024MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Textscited by 14
  8. 2021You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insightscited by 11
  9. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  10. 2021A Survey on Echo Chambers on Social Media: Description, Detection and Mitigationcited by 11
  11. 2025Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Contentcited by 9
  12. 2023KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Predictioncited by 8
12 more
  1. 2023HateProof: Are Hateful Meme Detection Systems really Robust?cited by 7
  2. 2021Leveraging cross-platform data to improve automated hate speech detectioncited by 4
  3. 2022Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Datasetcited by 4
  4. 2023Rationalizing Predictions by Adversarial Information Calibrationcited by 4
  5. 2023Hatemongers ride on echo chambers to escalate hate speech diffusioncited by 4
  6. 2022The MeLa BitChute Datasetcited by 2
  7. 2026Beyond the "Truth": Investigating Election Rumors on Truth Social During the 2024 Electioncited by 2
  8. 2022Going Extreme: Comparative Analysis of Hate Speech in Parler and Gabcited by 1
  9. 2021Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanationcited by 0
  10. 2024AggregHate: An Efficient Aggregative Approach for the Detection of Hatemongers on Social Platformscited by 0
  11. 2025Covering Cracks in Content Moderation: Delexicalized Distant Supervision for Illicit Drug Jargon Detectioncited by 0
  12. 2025Social Hatred: Efficient Multimodal Detection of Hatemongerscited by 0