Koteyko Nelya, Van Driel Martine, Billan Sofia, Barros Pena Belen, Vines John
School of Languages, Linguistics and Film, Queen Mary University of London, London, United Kingdom.
Department of English Language and Linguistics, University of Birmingham, Birmingham, United Kingdom.
Autism Adulthood. 2025 May 28;7(3):273-282. doi: 10.1089/aut.2023.0095. eCollection 2025 Jun.
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.
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.
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.
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.
关于自闭症污名管理策略的研究依赖于问卷调查或实验,这导致在如何识别自然互动中的策略方面存在差距。识别在线交流中的个体(适应少数群体特征)和集体(积极重塑内群体)污名管理策略,对于理解如何提高自闭症用户的社交媒体体验质量至关重要。
本文运用语言分析并结合关系管理的民族志视角,开发了一种新颖的方法来识别自闭症社交媒体用户的个体和集体污名管理策略。我们将在线观察和对34名自闭症社交媒体用户的访谈与对他们帖子的语料库辅助分析相结合,根据对自闭症提及的频率将帖子分为两组。
我们发现,第一组帖子侧重于信息提供和交流,并将共享理解和社区建设的标志作为集体策略的一部分。对作者的访谈揭示了强烈的自闭症身份认同感,并强调了坚持个人特定交流偏好的重要性。第二组帖子的特点是使用试探性语言(如“似乎”和“不确定”),这是那些对自己信息被误解感到不确定和焦虑的用户避免社交威胁的一种方式。
我们表明,自闭症社交媒体用户在如何在线交流和表达联系方面有特定偏好。然而,由于社交互动的负面经历,一些人不遵循这些偏好,而是选择能够降低感知误解风险的语言和视觉资源。我们质疑互联网对自闭症用户本质上具有赋能作用的说法,并呼吁进一步开展研究和政策努力,以确保在所有数字环境中自闭症患者的社交权利。