{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T06:46:21Z","timestamp":1782283581584,"version":"3.54.5"},"reference-count":41,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Chronic Illness"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The aim is to uncover the perspectives of Twitter users on Multiple Sclerosis (MS) in English tweets by: (i) determining the sentiment of the text (ii) identifying the discussed topics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The tweets were scanned in April 2023 using the keywords \u201cmultiple sclerosis, multiplesclerosis\u201d. Artificial intelligence-based sentiment analysis was conducted on a total of 1168 tweets and content analysis was performed on 17.4% of these tweets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Tweets of 44% are positive and 22.3% are negative sentiment. As a result of content analysis, three themes and their sub-themes were identified: (i) announcement sharing: invitation to support, promotion of academic publications, (ii) information sharing: information providers, information seekers, news providers, (iii) experience sharing: challenging MS, facilitated MS, emotionally impactful MS, comparative MS, misunderstood MS. Subjective content such as experiences is shared less frequently compared to objective content such as announcements and information.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>The findings of this study can serve as a guiding factor in supporting positive views, managing negative views, and promoting the expression of subjective experiences.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/17423953261440371","type":"journal-article","created":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T14:59:34Z","timestamp":1777906774000},"page":"122-132","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["#MultipleSclerosis: Artificial intelligence-based sentiment and content analysis of Tweets"],"prefix":"10.1177","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0168-2747","authenticated-orcid":false,"given":"Esra","family":"Uslu","sequence":"first","affiliation":[{"name":"Department of Psychiatric and Mental Health Nursing, Faculty of Health Sciences, Eskisehir Osmangazi University, Eskisehir, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nazmiye","family":"Y\u0131ld\u0131r\u0131m","sequence":"additional","affiliation":[{"name":"Bolu Abant \u0130zzet Baysal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emrah","family":"At\u0131lgan","sequence":"additional","affiliation":[{"name":"Eski\u015fehir Osmangazi University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,5,4]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.2196\/ijmr.7879"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13760-020-01407-1"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2018.09.020"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.55697\/tnd.2024.15"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40120-017-0088-2"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2022.515"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.12688\/f1000research.5263.1"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.2196\/13003"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2022.104299"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2020.102338"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.techsoc.2021.101724"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2016.303512a"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10660-023-09745-x"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/15456870.2022.2093354"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2024.2392964"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10389-023-02078-x"},{"key":"e_1_3_2_18_2","first-page":"64","article-title":"Content analysis as a qualitative research method: a theoretical framework","volume":"1","author":"Alanka D","year":"2024","unstructured":"Alanka D. 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