“Read my lips, not my body”: a thematic analysis of autistic people’s social communication preferences

Sutherland, H., Crompton, C. J., Long, J., & Fletcher‐Watson, S. (2024). “Read my lips, not my body”: a thematic analysis of autistic people’s social communication preferences [Preprint]. Center for Open Science. https://doi.org/10.31219/osf.io/kn2wr

Publication date: 3 Sep 2024 Added to AutiHub: 6 Jul 2026 Type: Preprint Article language: English

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Authors

Publication authors
4
Publication authors identified as autistic
1 / 4 (25.0%)

Abstract

Differences in socialising and communicating between autistic and non-autistic people are well documented, but primarily from the perspective of non-autistic researchers assuming an autistic social communicative deficit. However, recent challenges suggest it may be more accurate to talk about an autistic social communication ‘style’. This qualitative study attempts to better characterise this style, and to understand how differences between it and a non-autistic communicative style might produce communicative misunderstanding. Eight autistic adults (7 women, 1 nonbinary) took part in an online asynchronous focus group over two weeks. They were asked about their social values, their experiences talking to non-autistic people, positive social interactions, and encouraged to comment and feedback on the contributions of others in the group. Thematic analysis produced five themes: 1) truth and honesty, 2) invisible demands and their impacts, 3) empathy and double empathy, 3) autistic strengths and autistic positives, and 5) the role of autistic community. These findings highlight the ways in which autistic people’s different experiences of (and expectations for) social communication can clash with non-autistic people’s, producing disjunctions in understanding, and emphasise the nuance and complexity of participants’ conceptualisations of autism as difference versus deficit versus strength.

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These indicators describe the cited bibliography imported for this publication. Cited-reference metrics use the cited-reference total as denominator. Cited-author metrics state whether they use all cited-author occurrences or only occurrences linked to authors already integrated in the AutiHub database. They use cached links between cited authors and authors integrated in the AutiHub database. Last computed: 16 Aug 2026 11:31.

Cited references
69
Total cited references integrated for this publication.
Cited references with an identified autistic author
14 / 69 (20.3%)
Cited author occurrences identified as autistic
19 / 269 (7.1%)
Among occurrences linked to AutiHub author records: 19 / 135 (14.1%). Distinct cited authors identified as autistic: 16 / 211 (7.6%).
Cited author occurrences linked to AutiHub author records
135 / 269 (50.2%)
Distinct linked cited authors: 91 / 211 (43.1%)
Linked cited-author occurrences not identified as autistic
116 / 135 (85.9%)
Among linked cited-author occurrences only. Across all cited-author occurrences: 116 / 269 (43.1%). Distinct linked cited authors not identified as autistic: 75 / 91 (82.4%).
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