Unmasking: A Mixed-Methods Study of Autistic College Students’ Efforts to Stop Masking/Camouflaging

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

Durben, D. L. (2026). Unmasking: A Mixed-Methods Study of Autistic College Students’ Efforts to Stop Masking/Camouflaging. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-026-07409-x

Publication date: 11 Jul 2026 Added to AutiHub: 27 Sep 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
1
Publication authors identified as autistic
1 / 1 (100.0%)

Abstract

Abstract Purpose Autistic individuals often mask/camouflage to conceal their autistic traits, but this practice is stressful and damaging to mental health. Unmasking, a newly identified phenomenon, is the deliberate effort to stop masking and reclaim a more authentic self-presentation. This study is the first to examine autistic people’s experiences with unmasking and its mental health implications. Methods Interviews (n = 14) and surveys (n = 214) examined autistic college students’ understanding of unmasking, experiences and motivations, and impacts on mental health. Results The majority of participants in both samples had heard of unmasking, and half had tried it. Interviewees showed substantial variation in ability and willingness to unmask. Unmasking was difficult-to-impossible when masking was highly ingrained, as deconstructing masking repertoires and rediscovering their “true selves” was challenging. Unmasking relieved stress from masking and increased authenticity, but also created worries that revealing a more autistic self-presentation would garner social backlash, unless supported by friends or other unmaskers. Survey respondents’ unmasking frequency was overall low, but varied across social contexts. Unmasking difficulty was associated with heightened anxiety, whereas unmasking with family predicted decreased anxiety and depression. Other unmasking variables were less robust predictors, but suggest that unmasking is beneficial amongst those who try it. Conclusion We need further research into unmasking, especially its trajectories and mental health impacts. In comparison to masking, unmasking may be a more collectively beneficial practice. Its drawbacks are all rooted in external stigma, suggesting that increasing autism acceptance is key to supporting autistic individuals’ unmasking and long-term mental well-being.

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: 29 Oct 2026 01:01.

Cited references
58
With a DOI
54
Without a DOI, from raw bibliography text
4
13 / 58 (22.4%) cited references include at least one author identified as autistic.
References with data to complete
4 / 58 (6.9%)
References with detected author names
54 / 58 (93.1%)
Without detected author names
4
Without a structured title
4
Without a stable identifier
4
References with raw author names still to review
4
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
231
From DOI or external metadata
231
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
4
148 / 231 (64.1%) names are linked to an author already present in AutiHub. 83 / 231 (35.9%) names are not yet linked.
Names linked to a person identified as autistic
19 / 231 (8.2%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 19 / 148 (12.8%). Distinct people identified as autistic: 17 / 170 (10.0%).
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