Autistic sociality on Twitter: Enacted affordances and affiliation strategies

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

About the autistic author marker

Koteyko, N., Van Driel, M., & Vines, J. (2022). Autistic sociality on Twitter: Enacted affordances and affiliation strategies. Discourse & Communication, 16(4), 385-402. https://doi.org/10.1177/17504813211070655

Journal or book title
Discourse & Communication
Publisher
SAGE Publications
Volume
16
Issue
4
Pages
385-402
Publication date: 3 Mar 2022 Added to AutiHub: 6 Jul 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
3
Publication authors identified as autistic
1 / 3 (33.3%)

Abstract

While there is an increasing focus on the use of online networks among autistic users, how autistic adults communicate in social networking sites remains underexplored. The article puts forward an argument for combining systematic observation of digital practices with analysis of evaluative language in order to provide a situated account of ‘autistic sociality’ in social media. Drawing on practice-based theories of social media affordances and discourse analysis research on online self-presentation and affiliation we show how autistic Twitter users rely on association, content persistence and editability in order to signal social engagement through different forms of interaction and alignment. We discuss how the proposed framework can provide a new perspective on communicative practices of autistic social media users and advance development of inclusive digital networking platforms.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 17:07.

Cited references
63
With a DOI
47
Without a DOI, from raw bibliography text
16
8 / 63 (12.7%) cited references include at least one author identified as autistic.
References with data to complete
5 / 63 (7.9%)
References with detected author names
60 / 63 (95.2%)
Without detected author names
3
Without a structured title
5
Without a stable identifier
16
References with raw author names still to review
3
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
117
From DOI or external metadata
117
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
3
57 / 117 (48.7%) names are linked to an author already present in AutiHub. 60 / 117 (51.3%) names are not yet linked.
Names linked to a person identified as autistic
12 / 117 (10.3%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 12 / 57 (21.1%). Distinct people identified as autistic: 11 / 104 (10.6%).
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