TY - GEN
T1 - "It Feels Like Being Locked in A Cage"
T2 - ACM Conference on Designing Interactive Systems 2022 (DIS 2022)
AU - Rong, Ethan Z.
AU - Zhou, Mo Morgana
AU - Lu, Zhicong
AU - Fan, Mingming
PY - 2022/6
Y1 - 2022/6
N2 - Blind or low vision (BLV) people were recently reported to be live streamers on the online platforms that employed content curation algorithms. Recent research uncovered perceived algorithmic biases suppressing the content created by marginalized populations (e.g., people of color, the LGBT+ community, and content creators of lower socioeconomic status). However, little is known about how BLV streamers, as a marginalized population, perceive the effects of the algorithms adopted by live streaming platforms. We interviewed BLV streamers (N=19) of Douyin - a popular live stream platform in China - to understand their perceptions of algorithms, perceived challenges, and mitigation strategies. Our findings show the perceived factors contributing to disadvantages under algorithmic evaluation of BLV streamers' content (e.g., issues with filming and timely interaction with viewers) and perceived algorithmic suppression (e.g., content not amplified to sighted users but suppressed within the BLV community). Their mitigation strategies (e.g., not watching other BLV streamers' shows) tended to be passive. We discuss design considerations to design a more inclusive and fair live streaming platform.
AB - Blind or low vision (BLV) people were recently reported to be live streamers on the online platforms that employed content curation algorithms. Recent research uncovered perceived algorithmic biases suppressing the content created by marginalized populations (e.g., people of color, the LGBT+ community, and content creators of lower socioeconomic status). However, little is known about how BLV streamers, as a marginalized population, perceive the effects of the algorithms adopted by live streaming platforms. We interviewed BLV streamers (N=19) of Douyin - a popular live stream platform in China - to understand their perceptions of algorithms, perceived challenges, and mitigation strategies. Our findings show the perceived factors contributing to disadvantages under algorithmic evaluation of BLV streamers' content (e.g., issues with filming and timely interaction with viewers) and perceived algorithmic suppression (e.g., content not amplified to sighted users but suppressed within the BLV community). Their mitigation strategies (e.g., not watching other BLV streamers' shows) tended to be passive. We discuss design considerations to design a more inclusive and fair live streaming platform.
KW - Accessibility
KW - Algorithmic Experience
KW - Algorithms
KW - Individuals with Disabilities & Assistive Technologies
KW - Interview
KW - Perceptions of Algorithms
KW - Social Media/Online Communities
UR - http://www.scopus.com/inward/record.url?scp=85133593604&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85133593604&origin=recordpage
U2 - 10.1145/3532106.3533514
DO - 10.1145/3532106.3533514
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781450393584
T3 - DIS - Proceedings of the ACM Designing Interactive Systems Conference
SP - 571
EP - 585
BT - DIS 2022 - Proceedings of the 2022 ACM Designing Interactive Systems Conference: Digital Wellbeing
A2 - Mueller, Florian ‘Floyd’
A2 - Greuter, Stefan
A2 - Khot, Rohit Ashok
A2 - Sweetser, Penny
A2 - Obrist, Marianna
PB - Association for Computing Machinery
CY - New York, NY
Y2 - 13 June 2022 through 17 June 2022
ER -