Like, Comment & Caption: A Decade of Social Media Video Caption Research (2015–2025)

要旨

As video has become the dominant mode of content on platforms such as YouTube, TikTok, and Instagram, captioning has emerged as a critical factor for accessibility, engagement, and visibility. While prior studies have examined different types of social media video captions or communities' captioning usage, a systematic synthesis has not been undertaken, leading to the risk of proposing interventions that overlook core platform constraints or miss critical accessibility needs. This paper reviews 36 peer-reviewed papers published between 2015 and 2025 across fields such as Human-Computer Interaction (HCI), accessibility, media studies, education, and language learning. We note that captions operate as collective infrastructure co-produced by viewers, creators, and platforms. Deaf and Hard of Hearing (DHH), neurodivergent, and multilingual viewers depend on captions and increasingly expect mechanisms for feedback, while creators face inadequate tool support. Building on these insights, we propose the framework of Participatory Captioning and suggest design implications, highlighting future directions for social media video caption research.

受賞
Honorable Mention
著者
Huong Nguyen
New Jersey Institute of Technology, Newark, New Jersey, United States
Emma J. McDonnell
University of Washington, Seattle, Washington, United States
Lloyd May
Stanford University, Palo Alto, California, United States
Alexander Druzenko
Epic Systems, Madison, Wisconsin, United States
Zoobia Saifullah Syeda
New Jersey Institute of Technology, Newark, New Jersey, United States
Mark Cartwright
New Jersey Institute of Technology, Newark, New Jersey, United States
Sooyeon Lee
New Jersey Institute of Technology, Newark, New Jersey, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Captioning, Description, and Media Interaction

P1 - Room 120
7 件の発表
2026-04-16 18:00:00
2026-04-16 19:30:00