Familiarity versus Favorability: Exploring Formal Autism Terminology in Chinese Language Discourse

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

Lao, U., Liang, F., Dai, J., Cao, W., Chen, Q., Zou, X., & Zhu, H. (2023). Familiarity versus Favorability: Exploring Formal Autism Terminology in Chinese Language Discourse [Preprint]. Center for Open Science. https://doi.org/10.31219/osf.io/cp73f

Publication date: 10 Oct 2023 Added to AutiHub: 22 Sep 2026 Type: Preprint Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
7
Publication authors identified as autistic
1 / 7 (14.3%)

Abstract

The emergence of the neurodiversity movement has stimulated robust dialogues about autism-related terminology in Western societies, yet this subject remains largely unexplored in China. Considering that distinct sociocultural contexts can engender diverse perceptions of autism, it is crucial to foster discussions on appropriate language within the Chinese framework. This will not only enhance understanding and acceptance but also contribute to a more inclusive society for individuals on the autism spectrum. In the Chinese language context, especially Simplified Chinese, two translations for “autism” coexist: “孤独症” (GuDuZheng, GDZ, “GuDu” means “isolation/loneliness” and “Zheng” means disease/symptoms) and “自闭症” (ZiBiZheng, ZBZ, “ZiBi” means “self closing-off”), reflecting a crucial aspect of the localization of autism-related language. Using mixed-methods, four Simplified Chinese formal terminologies (GDZ, GDZ spectrum disorder, ZBZ, ZBZ spectrum disorder) were searched and analyzed in academic databases, search engines, and social networks, while the rankings of the terminologies and reasons for autistic people (n = 91), autistic people with an autistic child (n = 14), non-autistic people with an autistic child (n = 291), specialists (n = 141), the public (n = 441), and undefined identities (n = 38) were also being surveyed. Results revealed that participants expressed a strong preference for GDZ spectrum disorder, with an aversion to ZBZ, which was more prevalent in publications and online discourse. Thematic analysis revealed that preferences and offensiveness were primarily driven by semantic concepts, associations and familiarity with the terms. This study highlights disparities in familiarity and favorability of formal autism-related terminologies in Chinese language, underscores the need for increased awareness and education on autism language choices in East Asian cultures, and enhancing global understanding of autism language dynamics and neurodiversity.

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 08:12.

Cited references
31
With a DOI
28
Without a DOI, from raw bibliography text
0
5 / 31 (16.1%) cited references include at least one author identified as autistic.
References with data to complete
0 / 31 (0.0%)
References with detected author names
31 / 31 (100.0%)
Without detected author names
0
Without a structured title
0
Without a stable identifier
0
References with raw author names still to review
0
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
0
61 / 138 (44.2%) names are linked to an author already present in AutiHub. 77 / 138 (55.8%) names are not yet linked.
Names linked to a person identified as autistic
5 / 138 (3.6%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 5 / 61 (8.2%). Distinct people identified as autistic: 4 / 127 (3.1%).
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