{"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/using-neural-network-for-identifying","title":"Using Neural Network for Identifying Clickbaits in Online News Media","arxiv_id":"1806.07713","date":"2018-06-20","proceeding":null,"authors":["Amin Omidvar","Hui Jiang","Aijun An"],"abstract":"Online news media sometimes use misleading headlines to lure users to open\nthe news article. These catchy headlines that attract users but disappointed\nthem at the end, are called Clickbaits. Because of the importance of automatic\nclickbait detection in online medias, lots of machine learning methods were\nproposed and employed to find the clickbait headlines. In this research, a\nmodel using deep learning methods is proposed to find the clickbaits in\nClickbait Challenge 2017's dataset. The proposed model gained the first rank in\nthe Clickbait Challenge 2017 in terms of Mean Squared Error. Also, data\nanalytics and visualization techniques are employed to explore and discover the\nprovided dataset to get more insight from the data.","url_abs":"http://arxiv.org/abs/1806.07713v1","url_pdf":"http://arxiv.org/pdf/1806.07713v1.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":"using-neural-network-for-identifying","repo_url":"https://github.com/clickbait-challenge/albacore","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"using-neural-network-for-identifying","repo_url":"https://github.com/tanamania5555/InstaAsli","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clickbait-detection","task_name":"Clickbait Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1806.07713","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}