Banal Autistic Social Media: A Found Footage Autoethnography

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

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Kender, K. & Spiel, K. (2023). Banal Autistic Social Media: A Found Footage Autoethnography. The 25th International ACM SIGACCESS Conference on Computers and Accessibility, 1-7. https://doi.org/10.1145/3597638.3614552

Publication date: 19 Oct 2023 Added to AutiHub: 21 Oct 2026 Type: Other Article language: English
Publisher source (DOI) Full text OpenAlex source

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Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)
  1. Kay Kender *
  2. Katta Spiel

Abstract

In this position paper, we argue for designing autistic social media for thriving neurodiverse online communities. We discuss emerging work in the field of Human-Computer Interaction around autism and social media design, and explore how a Banal Autistic Design approach can lead to a less deficit-focused design paradigm by conducting a Found Footage Autoethnography, a method we introduce as an autoethnography variant suited to autistic embodied ways of knowing. Finally, we juxtapose our design insights with existing design guidelines for autistic social media, and argue for design for customisation, anti-normativity, non-prescripitiveness, granular publics, and interest-centricity.

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: 24 Oct 2026 01:01.

Cited references
39
With a DOI
35
Without a DOI, from raw bibliography text
4
8 / 39 (20.5%) cited references include at least one author identified as autistic.
References with data to complete
2 / 39 (5.1%)
References with detected author names
37 / 39 (94.9%)
Without detected author names
2
Without a structured title
2
Without a stable identifier
4
References with raw author names still to review
2
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
138
From DOI or external metadata
138
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
2
36 / 138 (26.1%) names are linked to an author already present in AutiHub. 102 / 138 (73.9%) names are not yet linked.
Names linked to a person identified as autistic
8 / 138 (5.8%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 8 / 36 (22.2%). Distinct people identified as autistic: 3 / 121 (2.5%).
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