La socialité autistique sur Twitter : affordances mises en acte et stratégies d'affiliation

Titre original en anglais : Autistic sociality on Twitter: Enacted affordances and affiliation strategies

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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

Date de publication: 03/03/2022 Ajout dans AutiHub: 06/07/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
3
Auteur·ices de la publication identifié·es comme autistes
1 / 3 (33,3 %)
  1. Nelya Koteyko
  2. Martine van Driel *
  3. John Vines

Résumé

Alors que l'utilisation des réseaux en ligne par les utilisateurs autistiques fait l'objet d'une attention croissante, la manière dont les adultes autistiques communiquent sur les sites de réseaux sociaux reste insuffisamment étudiée. L'article avance l'argument selon lequel il convient de combiner l'observation systématique des pratiques numériques avec l'analyse du langage évaluatif afin de fournir une description située de la « socialité autistique » dans les médias sociaux. En nous appuyant sur des théories des affordances des médias sociaux fondées sur les pratiques et sur des recherches en analyse du discours portant sur l'autoprésentation et l'affiliation en ligne, nous montrons comment les utilisateurs autistiques de Twitter s'appuient sur l'association, la persistance du contenu et la possibilité de modification afin de signaler leur engagement social à travers différentes formes d'interaction et d'alignement. Nous examinons comment le cadre proposé peut apporter une nouvelle perspective sur les pratiques communicatives des utilisateurs autistiques des médias sociaux et faire progresser le développement de plateformes inclusives de réseautage numérique.

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.

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Ces indicateurs décrivent la bibliographie citée importée pour cette publication. Les métriques de références citées utilisent le total des références citées comme dénominateur. Les métriques d’auteurices cité·es indiquent si elles utilisent toutes les occurrences d’auteurices cité·es ou seulement les occurrences rattachées à des auteurices déjà intégré·es à la base de données AutiHub. Ils utilisent les rattachements mis en cache entre les auteurices cité·es et les auteurices intégré·es à la base de données AutiHub. Dernier calcul : 16/08/2026 11:31.

Références citées
63
Nombre total de références citées intégrées pour cette publication.
Références citées avec un·e auteur·ice identifié·e comme autiste
6 / 63 (9,5 %)
Occurrences d’auteur·ices cité·es identifié·es comme autistes
9 / 117 (7,7 %)
Parmi les occurrences rattachées à des auteurices intégré·es à la base de données AutiHub : 9 / 49 (18,4 %). Auteurices cité·es distinct·es identifié·es comme autistes : 8 / 104 (7,7 %).
Occurrences citées rattachées à la base AutiHub
49 / 117 (41,9 %)
Auteurices cité·es distinct·es rattaché·es : 41 / 104 (39,4 %)
Occurrences rattachées, non identifiées comme autistes
40 / 49 (81,6 %)
Parmi les seules occurrences rattachées. Sur l’ensemble des occurrences d’auteurices cité·es : 40 / 117 (34,2 %). Auteurices cité·es distinct·es rattaché·es, non identifié·es comme autistes : 33 / 41 (80,5 %).
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