The Routledge Companion to Disability and Media
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Media portrayals of people with disabilities have historically been absent, stereotyped, harmful or inaccurate rather than reflecting authentic, lived experiences.
“Yet, media portrayals of PwD have historically been absent, stereotyped, harmful or inaccurate rather than reflecting authentic, lived experiences [34, 49, 88, 114, 117].”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [34]
How people with disabilities are presented in media plays a pivotal role in shaping public perceptions and social norms.
“How people with disabilities (PwD) are presented in media plays a pivotal role in shaping public perceptions and social norms [34, 105], influencing livelihood through access to education and employment [47].”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [34]
People with disabilities are frequently absent or negatively stereotyped in media.
“Yet, PwD are frequently absent or negatively stereotyped in media [34, 49, 103, 120] -portraying them as objects of pity, charity, or humor [49, 88], or as super-heroes overcoming insurmountable barriers [34, 100, 120].”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [34]
Visual media plays a significant role in shaping public opinion and social norms, including societal perceptions of disability.
“Visual media plays a significant role in shaping public opinion and social norms, including societal perceptions of disability [10, 34, 105, 117].”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [34]
Media portrayals of people with disabilities often portray them as super-heroes overcoming insurmountable barriers.
“Yet, PwD are frequently absent or negatively stereotyped in media [34, 49, 103, 120] -portraying them as objects of pity, charity, or humor [49, 88], or as super-heroes overcoming insurmountable barriers [34, 100, 120].”
From Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation (2026) · cites this paper as [34]
Cited by
Sorted by citations
Engaging Communities Meaningfully in Defining Disability Representation for AI Image Generation
Thieme, A., Faia Marques, R., Grayson, M., Balachandar, S., Tyler Cassidy, C., Choksi, M. Z., Longden, C., Huda, R. S., Ileve Kalovwe, N., Mallon, C., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790768 · Cited by 1 · see citing works
“Yet, PwD are frequently absent or negatively stereotyped in media [34, 49, 103, 120] – portraying them as objects of pity, charity, or humor [49, 88], or as super-heroes overcoming insurmountable barriers [34, 100, 120].”
Influential
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2019-10-31
- OpenAlex
- W2969886888
- Cited by
- 85
- References
- 0
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 11 · 2023: 14 · 2022: 9 · 2021: 10 · 2020: 5 · 2019: 2 · 2018: 10 · 2017: 1 · 2015: 1
- FWCI
- 7.56
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Safety Research › Disability Rights and Representation
- Social Sciences › Sociology and Political Science › Inclusion and Disability in Education and Sport
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Keywords
- disability, media, disability representation, media accessibility, disability studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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