{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T07:17:14Z","timestamp":1774163834192,"version":"3.50.1"},"reference-count":49,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["LHT"],"published-print":{"date-parts":[[2025,2,4]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.<\/jats:p><\/jats:sec>","DOI":"10.1108\/lht-02-2023-0076","type":"journal-article","created":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T07:17:11Z","timestamp":1694243831000},"page":"274-294","source":"Crossref","is-referenced-by-count":3,"title":["Utilizing health-related text on\u00a0social media for depression research: themes and methods"],"prefix":"10.1108","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6460-4765","authenticated-orcid":false,"given":"Sumei","family":"Yao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8679-9866","authenticated-orcid":false,"given":"Quan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2023,9,12]]},"reference":[{"issue":"3","key":"key2025020300123716100_ref001","doi-asserted-by":"publisher","first-page":"e85","DOI":"10.2196\/jmir.9222","article-title":"Detection of cases of noncompliance to drug treatment in patient forum posts: topic model approach","volume":"20","year":"2018","journal-title":"Journal of Medical Internet Research"},{"issue":"4","key":"key2025020300123716100_ref002","doi-asserted-by":"publisher","first-page":"977","DOI":"10.1109\/JBHI.2016.2539972","article-title":"Assessing antidepressants using intelligent data monitoring and mining of online Fora","volume":"20","year":"2016","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"2-3","key":"key2025020300123716100_ref003","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1080\/12460125.2020.1859745","article-title":"Prediction of depressed Arab women using their tweets","volume":"30","year":"2021","journal-title":"Journal of Decision Systems"},{"key":"key2025020300123716100_ref004","volume-title":"Depressive Disorders: DSM-5\u00ae Selections","author":"American Psychiatric Association","year":"2015"},{"issue":"5","key":"key2025020300123716100_ref005","doi-asserted-by":"publisher","first-page":"1108","DOI":"10.1108\/LHT-09-2020-0244","article-title":"Effects of social robots on depressive symptoms in older adults: a scoping review","volume":"40","year":"2022","journal-title":"Library Hi Tech"},{"issue":"ahead-of-print","key":"key2025020300123716100_ref006","doi-asserted-by":"publisher","DOI":"10.1108\/ITP-05-2021-0416","article-title":"Examining the predictors of university students\u2019 engagement, fear of missing out and Internet addiction in online environments","volume":"ahead-of-print","year":"2022","journal-title":"Information Technology and People"},{"issue":"5","key":"key2025020300123716100_ref007","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1080\/00952990.2020.1769118","article-title":"The use of ketamine to cope with depression and post-traumatic stress disorder: a qualitative analysis of the discourses posted on a popular online forum","volume":"46","year":"2020","journal-title":"The American Journal of Drug and Alcohol Abuse"},{"key":"key2025020300123716100_ref008","doi-asserted-by":"publisher","DOI":"10.1108\/LHT-12-2022-0585","article-title":"Determinants of patients' service choice in online health communities: an elaboration likelihood model perspective","year":"2023","journal-title":"Library Hi Tech"},{"issue":"2","key":"key2025020300123716100_ref009","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1080\/14780887.2019.1677833","article-title":"Am I lazy, a drama queen or depressed? 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