{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T02:54:16Z","timestamp":1777344856318,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683881","type":"print"},{"value":"9781643683898","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:00:00Z","timestamp":1684368000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,18]]},"abstract":"<jats:p>Social media provide easy ways to autistic individuals to communicate and to make their voices heard. The objective of this paper is to identify the main themes that are being discussed by autistic people on Twitter. We collected a sample of tweets containing the hashtag #ActuallyAutistic during the period 10\/02\/2022 and 14\/09\/2022. To identify the most discussed topics, BERTopic modelling was applied. We manually grouped the detected topics into 6 major themes using inductive content analysis: 1) General aspects of autism and experiences of autistic individuals; 2) Autism awareness, pride and funding; 3) Interventions, mostly related to Applied Behavior Analysis; 4) Reactions and expressions; 5) Everyday life as an autistic (lifelong condition, work, housing\u2026); and 6) Symbols and characteristics. The majority of tweets were presenting general aspects and experiences as autistic individuals; raising awareness; and about their dissatisfaction with some interventions. The identification of autistic individuals\u2019 main discussion themes could help to develop meaningful public health agendas and research involving and addressed to autistic individuals.<\/jats:p>","DOI":"10.3233\/shti230161","type":"book-chapter","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T08:44:45Z","timestamp":1684485885000},"source":"Crossref","is-referenced-by-count":9,"title":["What Do Autistic People Discuss on Twitter? An Approach Using BERTopic Modelling"],"prefix":"10.3233","author":[{"given":"Elia","family":"Gabarron","sequence":"first","affiliation":[{"name":"Department of Education, ICT and Learning, \u00d8stfold University College, Halden, Norway"},{"name":"Norwegian Centre for E-health Research, Troms\u00f8, Norway"}]},{"given":"Enrique","family":"Dorronzoro","sequence":"additional","affiliation":[{"name":"Universidad de Sevilla, Seville, Spain"}]},{"given":"Daniel","family":"Reichenpfader","sequence":"additional","affiliation":[{"name":"Bern University of Applied Sciences, Institute for Medical Informatics I4MI, Biel\/Bienne, Switzerland"}]},{"given":"Kerstin","family":"Denecke","sequence":"additional","affiliation":[{"name":"Bern University of Applied Sciences, Institute for Medical Informatics I4MI, Biel\/Bienne, Switzerland"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Caring is Sharing \u2013 Exploiting the Value in Data for Health and Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T14:58:10Z","timestamp":1685545090000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230161"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,18]]},"ISBN":["9781643683881","9781643683898"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230161","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,18]]}}}