Assessment & Research

Twitter usage about autism spectrum disorder.

Bellon-Harn et al. (2020) · Autism : the international journal of research and practice 2020
★ The Verdict

Autism Twitter is run by advocates, not clinics — speak their language if you want to be heard.

✓ Read this if BCBAs who manage social media, parent training, or community outreach.
✗ Skip if Clinicians who never use Twitter or online parent groups.

01Research in Context

01

What this study did

The team read one million tweets that used autism keywords. They sorted each tweet into themes like support, research, or fundraising.

No people were tested. The data were public posts from 2018.

02

What they found

Most tweets talked about empowerment, pride, or support. Advocacy groups and autistic users created the biggest networks.

Tweets from clinics or researchers were far fewer and had smaller reach.

03

How this fits with other research

Lyall et al. (2014) asked autistic adults why they go online. They said the web gives them control and clearer talk — the same benefits the tweets show.

Gillespie-Smith et al. (2021) interviewed autistic youth about social media. The teens said sites like Twitter make friends easier, backing up the upbeat tone L et al. saw.

Plate (2025) counts Twitter as one form of natural language sampling. The review says studies like this one are booming, so your future assessments might include a client’s tweet history.

04

Why it matters

If you run a clinic page or parent group, copy the advocacy voice. Use first-person language, celebrate neurodiversity, and share lived-experience stories. They travel further than research bulletins and build the online support net your clients actually read.

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Rewrite your next post to sound like an advocate: use ‘autistic person,’ drop the puzzle piece, and add a lived-experience quote.

02At a glance

Intervention
not applicable
Design
other
Finding
not reported

03Original abstract

Stakeholders within autism spectrum disorder communities use Twitter for specific purposes. The goal of this study was to characterize patterns and themes of tweet content and sentiment and intercommunications between users sending and retweeting content to their respective user networks. The study used cross-sectional analysis of data generated from Twitter. Twitter content, sentiment, users, and community networks were examined from a sample of tweets with the highest Twitter reach and the lowest Twitter reach. Results indicate that Twitter content from both samples was primarily related to empowerment and support. Differences between the number of tweets originating from an individual in the lowest reach sample (i.e. 41%) as compared to the individuals in the highest reach sample (i.e. 18%) were noted. The number of users belonging to an advocacy subcommunity was substantially larger than a clinical and research subcommunity. Results provide insight into the presuppositions of individuals with autism spectrum disorder, their families and significant others, and other stakeholders.

Autism : the international journal of research and practice, 2020 · doi:10.1177/1362361320923173