"Voices Help Correlate Signs and Words": Analyzing Deaf and Hard-of-Hearing (DHH) TikTokers’ Content, Practices, and Pitfalls

要旨

Video-sharing platforms such as TikTok have offered new opportunities for d/Deaf and hard-of-hearing (DHH) people to create public-facing content using sign language -- an integral part of DHH culture. Besides sign language, DHH creators deal with a variety of modalities when creating videos, such as captions and audio. However, hardly any work has comprehensively addressed DHH creators' multimodal practices with the lay public's reactions taken into account. In this paper, we systematically analyzed 308 DHH-authored TikTok videos using a mixed-methods approach, focusing on DHH TikTokers' content, practices, pitfalls, and viewer engagement. Our findings highlight that while voice features such as synchronous voices are scant and challenging for DHH TikTokers, they may help promote viewer engagement. Other empirical findings, including the distributions of topics, practices, pitfalls, and their correlations with viewer engagement, further lead to actionable suggestions for DHH TikTokers and video-sharing platforms.

著者
Jiaxun Cao
Duke Kunshan University, Kunshan, Jiangsu, China
Xuening Peng
University of Florida, Gainesville, Florida, United States
Fan Liang
Duke Kunshan University, Kunshan, China
Xin Tong
Duke Kunshan University, Kunshan, Suzhou, China
論文URL

https://doi.org/10.1145/3613904.3642413

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Assistive Interactions: Audio Interactions and Deaf and Hard of Hearing Users

313A
4 件の発表
2024-05-14 23:00:00
2024-05-15 00:20:00