“It’s not wrong, but I’m quite disappointed”: Toward an Inclusive Algorithmic Experience for Content Creators with Disabilities

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YouTube is a space where people with disabilities can reach a wider online audience to present what it is like to have disabilities. Thus, it is imperative to understand how content creators with disabilities strategically interact with algorithms to draw viewers around the world. However, considering that the algorithm carries the risk of making less inclusive decisions for users with disabilities, whether the current algorithmic experiences (AXs) on video platforms is inclusive for creators with disabilities is an open question. To address that, we conducted semi-structured interviews with eight YouTubers with disabilities. We found that they aimed to inform the public of diverse representations of disabilities, which led them to work with algorithms by strategically portraying disability identities. However, they were disappointed that the way the algorithms work did not sufficiently support their goals. Based on findings, we suggest implications for designing inclusive AXs that could embrace creators' subtle needs.
Publisher
Association for Computing Machinery
Issue Date
2022-04-30
Language
English
Citation

2022 CHI Conference on Human Factors in Computing Systems, CHI 2022

DOI
10.1145/3491102.3517574
URI
http://hdl.handle.net/10203/298794
Appears in Collection
CS-Conference Papers(학술회의논문)ID-Conference Papers(학술회의논문)
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