mlsanityData to 7 Oct 2026

Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board

arXiv 2001.07487 ↗First posted 21 Jan 2020cs.CY cs.SIcited by 24

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Abstract (arXiv)

This paper presents a dataset with over 3.3M threads and 134.5M posts from the Politically Incorrect board (/pol/) of the imageboard forum 4chan, posted over a period of almost 3.5 years (June 2016-November 2019). To the best of our knowledge, this represents the largest publicly available 4chan dataset, providing the community with an archive of posts that have been permanently deleted from 4chan and are otherwise inaccessible. We augment the data with a set of additional labels, including toxicity scores and the named entities mentioned in each post. We also present a statistical analysis of the dataset, providing an overview of what researchers interested in using it can expect, as well as a simple content analysis, shedding light on the most prominent discussion topics, the most popular entities mentioned, and the toxicity level of each post. Overall, we are confident that our work will motivate and assist researchers in studying and understanding 4chan, as well as its role on the greater Web. For instance, we hope this dataset may be used for cross-platform studies of social media, as well as being useful for other types of research like natural language processing. Finally, our dataset can assist qualitative work focusing on in-depth case studies of specific narratives, events, or social theories.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jan 2020.

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Citing papers per year: 2022: 2; 2023: 11; 2024: 4; 2025: 6; 2026: 1.

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  2. 2024OLMo: Accelerating the Science of Language Modelscited by 599
  3. 2023Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Modelscited by 171
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  5. 2023Controlled Text Generation via Language Model Arithmeticcited by 51
  6. 2022Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbotscited by 31
  7. 2023Circuit Breaking: Removing Model Behaviors with Targeted Ablationcited by 27
  8. 2022On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learningcited by 26
  9. 2023People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detectioncited by 25
  10. 2023What Do Llamas Really Think? Revealing Preference Biases in Language Model Representationscited by 10
  11. 2023Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediariescited by 9
  12. 2023I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Modelscited by 6
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  2. 2023Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detectioncited by 2
  3. 2024JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuningcited by 2
  4. 2024Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediversecited by 2
  5. 2025Palette of Language Models: A Solver for Controlled Text Generationcited by 2
  6. 2026When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigmcited by 2
  7. 2023A Weakly Supervised Classifier and Dataset of White Supremacist Languagecited by 1
  8. 2025Measuring Online Hate on 4chan using Pre-trained Deep Learning Modelscited by 1
  9. 2025Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Modelscited by 1
  10. 2025C3TG: Conflict-aware, Composite, and Collaborative Controlled Text Generationcited by 1
  11. 2024Evaluating LLMs Capabilities Towards Understanding Social Dynamicscited by 0
  12. 2025Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion Modelscited by 0