{"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/nlp-based-feature-extraction-for-the","title":"NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube","arxiv_id":null,"date":"2020-07-01","proceeding":"ACL 2020 7","authors":["Juan Carlos Medina Serrano","Orestis Papakyriakopoulos","Simon Hegelich"],"abstract":"We present a simple NLP methodology for detecting COVID-19 misinformation videos on YouTube by leveraging user comments. We use transfer learning pre-trained models to generate a multi-label classifier that can categorize conspiratorial content. We use the percentage of misinformation comments on each video as a new feature for video classification.","url_abs":"https://aclanthology.org/2020.nlpcovid19-acl.17","url_pdf":"https://aclanthology.org/2020.nlpcovid19-acl.17.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":"nlp-based-feature-extraction-for-the","repo_url":"https://github.com/JuanCarlosCSE/YouTube_misinfo","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"misinformation","task_name":"Misinformation"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"},{"task_slug":"video-classification","task_name":"Video Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}