{"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/detecting-incongruity-between-news-headline","title":"Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder","arxiv_id":"1811.07066","date":"2018-11-17","proceeding":null,"authors":["Seunghyun Yoon","Kunwoo Park","Joongbo Shin","Hongjun Lim","Seungpil Won","Meeyoung Cha","Kyomin Jung"],"abstract":"Some news headlines mislead readers with overrated or false information, and\nidentifying them in advance will better assist readers in choosing proper news\nstories to consume. This research introduces million-scale pairs of news\nheadline and body text dataset with incongruity label, which can uniquely be\nutilized for detecting news stories with misleading headlines. On this dataset,\nwe develop two neural networks with hierarchical architectures that model a\ncomplex textual representation of news articles and measure the incongruity\nbetween the headline and the body text. We also present a data augmentation\nmethod that dramatically reduces the text input size a model handles by\nindependently investigating each paragraph of news stories, which further\nboosts the performance. Our experiments and qualitative evaluations demonstrate\nthat the proposed methods outperform existing approaches and efficiently detect\nnews stories with misleading headlines in the real world.","url_abs":"http://arxiv.org/abs/1811.07066v2","url_pdf":"http://arxiv.org/pdf/1811.07066v2.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":"detecting-incongruity-between-news-headline","repo_url":"https://github.com/david-yoon/detecting-incongruity","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"detecting-incongruity-between-news-headline","repo_url":"https://github.com/sugoiii/detecting-incongruity-dataset-gen","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"fake-news-detection","task_name":"Fake News Detection"},{"task_slug":"stance-detection","task_name":"Stance Detection"},{"task_slug":"incongruity-detection","task_name":"incongruity detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1811.07066","atlas_url":"https://app.syntology.ai/?focus=1811.07066","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}