{"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/rsdd-time-temporal-annotation-of-self","title":"RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses","arxiv_id":"1806.07916","date":"2018-06-20","proceeding":"WS 2018 6","authors":["Sean MacAvaney","Bart Desmet","Arman Cohan","Luca Soldaini","Andrew Yates","Ayah Zirikly","Nazli Goharian"],"abstract":"Self-reported diagnosis statements have been widely employed in studying\nlanguage related to mental health in social media. However, existing research\nhas largely ignored the temporality of mental health diagnoses. In this work,\nwe introduce RSDD-Time: a new dataset of 598 manually annotated self-reported\ndepression diagnosis posts from Reddit that include temporal information about\nthe diagnosis. Annotations include whether a mental health condition is present\nand how recently the diagnosis happened. Furthermore, we include exact temporal\nspans that relate to the date of diagnosis. This information is valuable for\nvarious computational methods to examine mental health through social media\nbecause one's mental health state is not static. We also test several baseline\nclassification and extraction approaches, which suggest that extracting\ntemporal information from self-reported diagnosis statements is challenging.","url_abs":"http://arxiv.org/abs/1806.07916v1","url_pdf":"http://arxiv.org/pdf/1806.07916v1.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":[],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[{"slug":"rsdd-time","name":"RSDD-Time","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}