Evidence map›Paper›PMID 42077280›Full record

ArticleFrontiers in psychology2026

Discursive constructions of autism on social media: a multilingual analysis across five languages.

Patricia López-Resa, Ingjerd Skafle, Kevin Rebecchi, Tamara Kalandadze, Anders Nordahl-Hansen, Elia Gabarrón

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Patricia López-ResaDepartment of Psychology, Faculty of Health Sciences, University of Castilla-La Mancha, Talavera de la Reina, Spain.
Ingjerd SkafleDepartment of Education, ICT and Learning, Østfold University College, Halden, Norway.
Kevin RebecchiDepartment of Education, ICT and Learning, Østfold University College, Halden, Norway.
Tamara KalandadzeDepartment of Education, ICT and Learning, Østfold University College, Halden, Norway.
Anders Nordahl-HansenDepartment of Education, ICT and Learning, Østfold University College, Halden, Norway.
Elia GabarrónDepartment of Education, ICT and Learning, Østfold University College, Halden, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Language choices in autism-related social media discourse reflect ideological models and shape public understanding. Although neuroaffirmative and identity-first language is increasingly visible, cross-linguistic patterns on social media remain poorly understood. These platforms provide a valuable setting to observe how autistic identity and competing medical and neuroaffirmative frameworks circulate internationally. Methods: This observational multilingual study analyzed 678 public posts collected through stratified keyword sampling in English, Spanish, French, Norwegian, and Georgian. Posts were normalized, anonymized, and classified using multilingual lexicons and sentence-embedding-assisted disambiguation. Variables included theoretical frame (medical, neuroaffirmative, both, neutral), linguistic style (identity-first, person-first), sentiment (-5 to +5), and engagement metrics. Descriptive statistics and longitudinal trend analyses were conducted. Results: Medical and neuroaffirmative discourse coexisted across languages. Spanish showed the highest medical framing (45.1%), while English (43.4%) and French (36.4%) favored neuroaffirmative discourse; Norwegian and Georgian leaned neutral. Identity-first language predominated overall, with person-first usage most frequent in Norwegian and minimal in Georgian. Sentiment was largely neutral. Engagement varied by language, with identity-first posts generating the highest interaction in English. Neuroaffirmative discourse increased across all languages after 2023. Discussion: Autism discourse on X/Twitter reflects a global but uneven shift toward neuroaffirmative and identity-first language shaped by linguistic and cultural context, positioning social media as a key arena for renegotiating autistic identity and expertise.

Indexed as

autism spectrum disordercross-language comparisonidentity-first languageneurodiversityperson-first languagesocial media

Identifiers

PMID42077280
PMCPMC13135461

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.