{"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/geocoding-without-geotags-a-text-based","title":"Geocoding Without Geotags: A Text-based Approach for reddit","arxiv_id":"1810.03067","date":"2018-10-07","proceeding":"WS 2018 11","authors":["Keith Harrigian"],"abstract":"In this paper, we introduce the first geolocation inference approach for\nreddit, a social media platform where user pseudonymity has thus far made\nsupervised demographic inference difficult to implement and validate. In\nparticular, we design a text-based heuristic schema to generate ground truth\nlocation labels for reddit users in the absence of explicitly geotagged data.\nAfter evaluating the accuracy of our labeling procedure, we train and test\nseveral geolocation inference models across our reddit data set and three\nbenchmark Twitter geolocation data sets. Ultimately, we show that geolocation\nmodels trained and applied on the same domain substantially outperform models\nattempting to transfer training data across domains, even more so on reddit\nwhere platform-specific interest-group metadata can be used to improve\ninferences.","url_abs":"http://arxiv.org/abs/1810.03067v1","url_pdf":"http://arxiv.org/pdf/1810.03067v1.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":"geocoding-without-geotags-a-text-based","repo_url":"https://github.com/kharrigian/smgeo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1810.03067","atlas_url":"https://app.syntology.ai/?focus=1810.03067","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}