'Even When Success Seems Impossible, I Keep Streaming': How Do Chinese Elderly Streamers Interact with Platform Algorithmic (In)visibility

要旨

Recent research within the HCI community has illuminated the challenges faced by marginalized groups on algorithm-driven livestreaming platforms. However, there is a notable gap in understanding how elderly livestreamers interact with the platform content moderation and algorithmic (in)visibility. This study investigates the perceptions of the algorithm-moderated (in)visibility and the coping strategies of 16 elderly streamers on Douyin. We find that, contrary to stereotypes of elderly users as digitally uninformed, these streamers actively engage with the platform to facilitate their understanding about platform algorithm. This engagement involves official guidance, peer learning, and personal experimentation. The streamers adopt various strategies to align with the perceived algorithmic preferences. Despite their rich knowledge about the platform's visibility moderation, many elderly streamers face significant challenges, such as physical and psychological strain and low viewer traffic. We conclude with design implications for livestreaming platforms to foster fairness and promote engagement among elderly streamers.

著者
Junxiang LIAO
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China
Zheng Wei
The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Zeyu Yang
HKUST(Guangzhou), Guangzhou, China
Xian Xu
The Hong Kong University of Science and Technology, Hong Kong, China
Pan Hui
The Hong Kong University of Science and Technology, Hong Kong, China
Changyang He
Max Planck Institute for Security and Privacy, Bochum, Germany
Muzhi Zhou
Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
DOI

10.1145/3706598.3713763

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713763

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Platforms and Communities

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7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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