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What Do Autistic People Discuss on Twitter? An Approach Using BERTopic Modelling.
Gabarron, Elia; Dorronzoro, Enrique; Reichenpfader, Daniel; Denecke, Kerstin.
Afiliação
  • Gabarron E; Department of Education, ICT and Learning, Østfold University College, Halden, Norway.
  • Dorronzoro E; Norwegian Centre for E-health Research, Tromsø, Norway.
  • Reichenpfader D; Universidad de Sevilla, Seville, Spain.
  • Denecke K; Bern University of Applied Sciences, Institute for Medical Informatics I4MI, Biel/Bienne, Switzerland.
Stud Health Technol Inform ; 302: 403-407, 2023 May 18.
Article em En | MEDLINE | ID: mdl-37203705
ABSTRACT
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…); 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Autístico / Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Autístico / Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article