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dc.contributor.authorGabarron, Elia
dc.contributor.authorDorronzoro, Enrique
dc.contributor.authorReichenpfader, Daniel
dc.contributor.authorDenecke, Kerstin
dc.date.accessioned2024-04-05T12:02:39Z
dc.date.available2024-04-05T12:02:39Z
dc.date.created2023-05-19T14:11:22Z
dc.date.issued2023
dc.identifier.citationStudies in Health Technology and Informatics. 2023, 302, 403-407.en_US
dc.identifier.issn0926-9630
dc.identifier.urihttps://hdl.handle.net/11250/3125099
dc.description.abstractSocial 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…); 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’ main discussion themes could help to develop meaningful public health agendas and research involving and addressed to autistic individuals.en_US
dc.language.isoengen_US
dc.publisherIOS Pressen_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.subjectautism spectrum disorderen_US
dc.subjectsocial mediaen_US
dc.subjectTwitteren_US
dc.subjecttopic modellingen_US
dc.subjectBERTen_US
dc.titleWhat Do Autistic People Discuss on Twitter? An Approach Using BERTopic Modellingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 European Federation for Medical Informatics (EFMI) and IOS Press.en_US
dc.subject.nsiVDP::Medisinske Fag: 700::Helsefag: 800en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber403-407en_US
dc.source.volume302en_US
dc.source.journalStudies in Health Technology and Informaticsen_US
dc.identifier.doi10.3233/SHTI230161
dc.identifier.cristin2148150
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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