Sentiment analysis of post-Covid-19 health information needs of autism spectrum disorder community

Insights from social media discussions

Bibliographic Data

ID15516951
AuthorsEbenezer Larnyo (0000-0001-5837-0707, University of California, Santa Barbara, corresponding author), Jonathan Aseye Nutakor (0000-0002-6294-2701, Jiangsu University), Stephen Addai‐Dansoh (0000-0002-4070-6273, Jiangsu University), Edmund Nana Kwame Nkrumah (0000-0002-0653-990X, Nobel International Business School)
Year2024
Volume15
Pages1441349-1441349
Publication date2024-10-11
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2024.1441349
PMID39465051
OpenAlexW4403342567
LanguageEN
References cited7

The findings highlight the need for improved digital platforms and community resources to address the specific health information needs of the ASD community, particularly in enhancing access to reliable information and fostering supportive environments. These insights can guide future interventions and policies aimed at improving the well-being of autistic persons and their caregivers

Autism · Autism spectrum disorder · Content analysis · Data science · Developmental psychology · Psychiatry · Psychological intervention · Qualitative analysis · Qualitative research · Sentiment analysis · Social media · Social media analytics · Social science · Social stigma · Sociology · Stigma (botany · World Wide Web · Computer Science · Health Literacy and Information Accessibility · Medicine · Mobile Health and mHealth Applications · Psychology · Social Media in Health Education · Artificial Intelligence

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Open DOIOpen Access