{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-hateful-memes-challenge-detecting-hate","title":"The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes","arxiv_id":"2005.04790","date":"2020-05-10","proceeding":"NeurIPS 2020 12","authors":["Douwe Kiela","Hamed Firooz","Aravind Mohan","Vedanuj Goswami","Amanpreet Singh","Pratik Ringshia","Davide Testuggine"],"abstract":"This work proposes a new challenge set for multimodal classification, focusing on detecting hate speech in multimodal memes. 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We find that state-of-the-art methods perform poorly compared to humans (64.73% vs. 84.7% accuracy), illustrating the difficulty of the task and highlighting the challenge that this important problem poses to the community.","url_abs":"https://arxiv.org/abs/2005.04790v3","url_pdf":"https://arxiv.org/pdf/2005.04790v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"the-hateful-memes-challenge-detecting-hate","repo_url":"https://github.com/facebookresearch/mmf","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"the-hateful-memes-challenge-detecting-hate","repo_url":"https://github.com/SebKleiner/Hateful_Memes","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"the-hateful-memes-challenge-detecting-hate","repo_url":"https://github.com/holman57/Hateful-Memes","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"the-hateful-memes-challenge-detecting-hate","repo_url":"https://github.com/rizavelioglu/hateful_memes-hate_detectron","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"binary-classification","task_name":"Binary Classification"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"meme-classification","task_name":"Meme Classification"}],"methods":[],"datasets_introduced":[{"slug":"hateful-memes","name":"Hateful Memes","full_name":"Hateful Memes"},{"slug":"hateful-memes-challenge","name":"Hateful Memes Challenge","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/meme-classification-on-hateful-memes","task":"Meme Classification","dataset":"Hateful Memes","model":"Human","rank_in_archive_order":10,"of":17,"metrics":{"Accuracy":"0.847","ROC-AUC":"0.8265"},"uses_additional_data":false},{"leaderboard":"/sota/meme-classification-on-hateful-memes","task":"Meme Classification","dataset":"Hateful Memes","model":"Visual BERT COCO","rank_in_archive_order":14,"of":17,"metrics":{"Accuracy":"0.695","ROC-AUC":"0.754"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2005.04790","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.04790"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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