Stigma Management Strategies of Autistic Social Media Users

Koteyko, N., van Driel, M., Billan, S., Pena, B. B., & Vines, J. (2024). Stigma Management Strategies of Autistic Social Media Users. Autism in Adulthood, 7(3), 273-282. https://doi.org/10.1089/aut.2023.0095

Publication date: 10 Apr 2024 Added to AutiHub: 6 Jul 2026 Type: Article Article language: English

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Authors

Publication authors
5
Publication authors identified as autistic
1 / 5 (20.0%)

Abstract

Background: Research on stigma management strategies in autism relies on questionnaires or experiments, leading to a gap in understanding of how to identify the strategies in naturalistic interactions. The identification of individual (adapting minority group characteristics) and collective (positively redeveloping the in-group) stigma management strategies in online communication is important for understanding how to improve the quality of social media experiences for autistic users. Methods: Using linguistic analysis and engaging with ethnographic perspectives on relationship management, this article develops a novel approach to the identification of individual and collective stigma management strategies of autistic social media users. We combine online observation and interviews with 34 autistic social media users with a corpus-assisted analysis of their posts, divided into two groups according to regular or limited mentions of autism. Results: We show that posts in the first group focus on information provision and exchange and include markers of shared understanding and community building as part of a collective strategy. Interviews with the authors reveal a strong sense of autistic identity and highlight the importance of staying true to one's specific communicative preferences. Posts in the second group are characterized by tentative language (e.g., "seem" and "not sure") as a way of avoiding social threats by users who report uncertainty and anxiety about misinterpretation of their messages. Conclusions: We show that autistic social media users have specific preferences in how they communicate and express connection online. However, due to negative experiences of social interactions some do not follow these preferences and instead select linguistic and visual resources that can reduce perceived risks of misunderstanding. We question the claims that the internet is inherently enabling for autistic users and call for further research and policy effort to ensure autistic sociality rights in all digital environments.

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Bibliography inclusion overview

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
61
Total cited references integrated for this publication.
Cited references with an identified autistic author
14 / 61 (23.0%)
Cited author occurrences identified as autistic
18 / 122 (14.8%)
Among occurrences linked to AutiHub author records: 18 / 58 (31.0%). Distinct cited authors identified as autistic: 14 / 101 (13.9%).
Cited author occurrences linked to AutiHub author records
58 / 122 (47.5%)
Distinct linked cited authors: 40 / 101 (39.6%)
Linked cited-author occurrences not identified as autistic
40 / 58 (69.0%)
Among linked cited-author occurrences only. Across all cited-author occurrences: 40 / 122 (32.8%). Distinct linked cited authors not identified as autistic: 26 / 40 (65.0%).
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