{"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-sentiment-induction-to-understand","title":"Using Sentiment Induction to Understand Variation in Gendered Online Communities","arxiv_id":"1811.07061","date":"2018-11-16","proceeding":"WS 2019 1","authors":["Li Lucy","Julia Mendelsohn"],"abstract":"We analyze gendered communities defined in three different ways: text, users,\nand sentiment. Differences across these representations reveal facets of\ncommunities' distinctive identities, such as social group, topic, and\nattitudes. Two communities may have high text similarity but not user\nsimilarity or vice versa, and word usage also does not vary according to a\nclearcut, binary perspective of gender. Community-specific sentiment lexicons\ndemonstrate that sentiment can be a useful indicator of words' social meaning\nand community values, especially in the context of discussion content and user\ndemographics. Our results show that social platforms such as Reddit are active\nsettings for different constructions of gender.","url_abs":"http://arxiv.org/abs/1811.07061v1","url_pdf":"http://arxiv.org/pdf/1811.07061v1.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-sentiment-induction-to-understand","repo_url":"https://github.com/lucy3/reddit-sent","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"text-similarity","task_name":"text similarity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}