Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter

Elia Gabarron; Anders Dechsling; Ingjerd Skafle; Anders Nordahl-Hansen

doi:10.2196/32752

Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter

JMIR Form Res. 2022 Mar 7;6(3):e32752. doi: 10.2196/32752.

Authors

Elia Gabarron^{1

2}, Anders Dechsling¹, Ingjerd Skafle³, Anders Nordahl-Hansen¹

Affiliations

¹ Department of Education, ICT and Learning, Østfold University College, Halden, Norway.
² Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
³ Faculty of Health, Welfare and Organisation, Østfold University College, Kråkerøy, Norway.

PMID: 35254265
PMCID: PMC8938830
DOI: 10.2196/32752

Abstract

Background: On May 8, 2021, Elon Musk, a well-recognized entrepreneur and business magnate, revealed on a popular television show that he has Asperger syndrome. Research has shown that people's perceptions of a condition are modified when influential individuals in society publicly disclose their diagnoses. It was anticipated that Musk's disclosure would contribute to discussions on the internet about the syndrome, and also to a potential change in the perception of this condition.

Objective: The objective of this study was to compare the types of information contained in popular tweets about Asperger syndrome as well as their engagement and sentiment before and after Musk's disclosure.

Methods: We extracted tweets that were published 1 week before and after Musk's disclosure that had received >30 likes and included the terms "Aspergers" or "Aspie." The content of each post was classified by 2 independent coders as to whether the information provided was valid, contained misinformation, or was neutral. Furthermore, we analyzed the engagement on these posts and the expressed sentiment by using the AFINN sentiment analysis tool.

Results: We extracted a total of 227 popular tweets (34 posted the week before Musk's announcement and 193 posted the week after). We classified 210 (92.5%) of the tweets as neutral, 13 (5.7%) tweets as informative, and 4 (1.8%) as containing misinformation. Both informative and misinformative tweets were posted after Musk's disclosure. Popular tweets posted before Musk's disclosure were significantly more engaging (received more comments, retweets, and likes) than the tweets posted the week after. We did not find a significant difference in the sentiment expressed in the tweets posted before and after the announcement.

Conclusions: The use of social media platforms by health authorities, autism associations, and other stakeholders has the potential to increase the awareness and acceptance of knowledge about autism and Asperger syndrome. When prominent figures disclose their diagnoses, the number of posts about their particular condition tends to increase and thus promote a potential opportunity for greater outreach to the general public about that condition.

Keywords: Asperger; Elon Musk; autism; autism spectrum disorder; famous persons; health literacy; mental health; sentiment analysis; social media; tweets; twitter.

©Elia Gabarron, Anders Dechsling, Ingjerd Skafle, Anders Nordahl-Hansen. Originally published in JMIR Formative Research (https://formative.jmir.org), 07.03.2022.