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Cited by 21Hearing Impairment and CommunicationDigital Accessibility for DisabilitiesSubtitles and Audiovisual Media

Community-Driven Information Accessibility: Online Sign Language Content Creation within d/Deaf Communities

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Tang, Xinru, Chang, Xiang, Chen, Nuoran, Ni, Yingjie (MaoMao), LC, RAY, Tong, Xin·2023·Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
DOI 10.1145/3544548.3581286
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Abstract

Information access is one of the most significant challenges faced by d/Deaf signers due to a lack of sign language information. Given the challenges in machine-driven solutions, we seek to understand how d/Deaf communities can support the growth of sign language content. Based on interviews with 12 d/Deaf people in China, we found that d/Deaf videos, i.e., sign language videos created by and for d/Deaf people, can be crucial information sources and educational materials. Combining content analysis of 360 d/Deaf videos to better understand this type of video, we show how d/Deaf communities co-create information accessibility through collaboration in content creation online. We uncover two major challenges that creators need to address, e.g., difficulties in interpretation and inconsistent content qualities. We propose potential design opportunities and future research directions to support d/Deaf people’s needs for sign language content through collaboration within d/Deaf communities.

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  • Many accessibility tasks require deeply personal embodied knowledge that disabled people possess, such as sign language translation and disabled people's non-normative communication practices.

    “Similarly, as explained in Section 8.1, many accessibility tasks require deeply personal embodied knowledge that disabled people possess, such as sign language translation [12, 95, 97], and disabled people's non-normative communication practices [3, 34, 41].”

    From Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter (2026) · cites this paper as [95]

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Authors
Tang, X., Chang, X., Chen, N., Ni, Y. (., LC, R., & Tong, X.
Affiliations
  • University of California, Irvine (US)
  • Sichuan University (CN)
  • University of California, Berkeley (US)
  • Sign Access (Guangzhou) Service Co., Ltd., China
  • City University of Hong Kong (HK)
  • Duke Kunshan University (CN)
ORCID
Venue
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2023-04-19
Pages
1-24
DOI
10.1145/3544548.3581286
OpenAlex
W4366547356
Cited by
21
References
89
Citations by year
2026: 7 · 2025: 6 · 2024: 7 · 2023: 1
FWCI
22.39
Type
conference paper
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Funders
  • Duke Kunshan University (#00AKUG0086)
  • SomniLife (#22KCNID012)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Hearing Impairment and Communication
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
  • Social Sciences › Arts and Humanities › Language and Linguistics › Subtitles and Audiovisual Media
Keywords
sign language, sign language video, online content creation, information accessibility, community collaboration, deaf education, sign language interpreting, content quality

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