Twitter #ActuallyAutistic comme espace de résistance épistémique et de futurité crip

Titre original en anglais : #ActuallyAutistic Twitter as a Site for Epistemic Resistance and Crip Futurity

Cette publication est incluse dans le projet « Contributions académiques de personnes autistes sur l’autisme ». un auteur·ice de cette publication est identifié·e comme autiste dans le projet.

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Guberman, J. (2022). #ActuallyAutistic Twitter as a Site for Epistemic Resistance and Crip Futurity. ACM Transactions on Computer-Human Interaction, 30(3), 1-34. https://doi.org/10.1145/3569891

Titre de la revue ou du livre
ACM Transactions on Computer-Human Interaction
Éditeur
Association for Computing Machinery (ACM)
Volume
30
Numéro
3
Pages
1-34
Date de publication: 27/10/2022 Ajout dans AutiHub: 17/08/2026 Type: Article Langue de l’article: Anglais
Source éditeur (DOI) Source OpenAlex

Cette publication est intégrée dans AutiHub via :

Auteurs

Auteur·ices des publications
1
Auteur·ices de la publication identifié·es comme autistes
1 / 1 (100,0 %)
  1. Josh Guberman *

Résumé

Depuis plusieurs décennies, Internet joue un rôle essentiel dans l'auto-représentation et la création de communautés autistiques. Cette étude semi-autoethnographique et interprétativiste se tourne vers Twitter #ActuallyAutistic afin d'examiner les préoccupations autistiques concernant la recherche sur l'autisme, la manière dont ces préoccupations diffèrent de celles des chercheurs sur l'autisme, et la façon dont les personnes autistes interagissent avec la recherche sur l'autisme et les chercheurs. Je constate que les discours de Twitter #ActuallyAutistic s'alignent sur le paradigme de la neurodiversité, tandis que les discours dominants sur l'autisme dans le milieu universitaire s'alignent sur le modèle médical du handicap. Bien que les deux orientations à l'égard de la recherche sur l'autisme partagent parfois des priorités de recherche, elles représentent des approches fondamentalement inconciliables de ces priorités et de l'autisme, plus largement. J'explore la manière dont les personnes autistes sur Twitter interagissent avec des chercheurs non autistes et comment la tonalité de ces interactions varie selon le paradigme de recherche auquel un chercheur particulier adhère. Je conclus par une discussion sur la manière dont les chercheurs en IHC s'intéressant à l'autisme peuvent opérationnaliser ces résultats en abordant leurs travaux à travers le cadre de la technoscience crip.

The Internet has, for several decades, played a critical role in autistic self-advocacy and community building. This semi-autoethnographic, interpretivist study turns to #ActuallyAutistic Twitter to examine autistic concerns about autism research, how these concerns differ from those of autism researchers, and how autistics interact with autism research and researchers. I find that #ActuallyAutistic Twitter discourses align with the neurodiversity paradigm, while dominant autism discourses in the academy align with the medical model of disability. Though both orientations towards autism research sometimes share research priorities, they represent fundamentally irreconcilable approaches to these priorities and autism, more broadly. I explore how autistics on Twitter interact with non-autistic researchers and how the tenor of these interactions varies according to which research paradigm a particular researcher subscribes. I conclude with a discussion of how HCI researchers interested in autism can operationalize these findings by approaching their work through the framework of crip technoscience.

Bibliographie citée par cette référence

Les références citées sont importées depuis des sources externes de métadonnées lorsqu’elles sont disponibles. La liste peut être partielle.

Vue d’ensemble de la bibliographie citée

Ces indicateurs décrivent la bibliographie citée par cette publication. Un nom d’auteurice est compté chaque fois qu’il apparaît dans une référence citée : une même personne peut donc être comptée plusieurs fois. Les noms qui ne sont pas encore associés à un·e auteurice déjà présent·e dans AutiHub sont traités comme inconnus, pas comme non autistes. Dernier calcul : 02/10/2026 17:07.

Références citées
178
Avec un DOI
88
Sans DOI, à partir du texte brut de la bibliographie
90
19 / 178 (10,7 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
61 / 178 (34,3 %)
Références avec noms d’auteurices détectés
117 / 178 (65,7 %)
Sans nom d’auteurice détecté
61
Sans titre structuré
61
Sans identifiant stable
86
Références avec noms bruts d’auteurices restant à vérifier
0
Références avec problème de récupération des métadonnées externes
2
Ces indicateurs portent sur les références citées affichées sur cette page, après fusion des doublons techniques. Une référence sans DOI peut quand même soutenir les statistiques d’auteurices lorsqu’un titre et des noms d’auteurices sont disponibles.
Noms d’auteurices détectés dans la bibliographie citée
285
À partir du DOI ou de métadonnées externes
285
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
5
Noms bruts restant à vérifier
54
91 / 285 (31,9 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 194 / 285 (68,1 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
21 / 285 (7,4 %)
Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 21 / 91 (23,1 %). Personnes distinctes identifiées comme autistes : 12 / 248 (4,8 %).
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