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Time versus timing in social cognition: How concurrent viewer cues and plot-aligned Danmaku affect narrative outcomes on online video platforms

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

This study explores how temporality affects online video consumption and narrative engagement on online video platforms, focusing on two dimensions—time (concurrent viewer cues, which display the number of viewers who have watched or are currently watching a video) and timing (Danmaku, on-screen scrolling comments appearing randomly or at crucial plot points). Within the context of online video-sharing social media, we highlight how these temporal features function as socio-psychological cues that shape human behavior in online settings. Drawing on social presence and narrative engagement theories, we conducted two online experiments (N study 1 = 661; N study 2 = 342), manipulating concurrent viewer cues (simultaneous vs. past viewing) and Danmaku timing (plot-aligned vs. random) in narrative videos. Results indicate that displaying past (versus simultaneous) viewer cues and randomly timed (versus plot-aligned) Danmaku comments boost perceived social presence, subsequently fostering viewer engagement. Our findings demonstrate how specific social cues on online video platforms would impact social cognition, narrative involvement, and digital information processing, providing insight into the psychological effects of computer-mediated communication. Our study contributes to theorizing the role of temporality in online video narratives and its impact on viewers’ information-processing mechanisms in digital storytelling. © 2025 The Authors.
Original languageEnglish
Article number108748
Number of pages11
JournalComputers in Human Behavior
Volume172
Online published5 Jul 2025
DOIs
Publication statusPublished - Nov 2025

Funding

This project is supported by the Start-up Grant for New Faculty of City University of Hong Kong (Project number: 7200790) granted to the first author (XZ). The authors thank Min Peng, Ruilin Zheng, and Jingyi Pu.

Research Keywords

  • Algorithmic stimulus creation
  • Attitude change
  • Cognitive elaboration
  • Danmaku
  • Danmu
  • Empathy
  • Generative AI
  • Narrative engagement
  • Online video platform
  • Social presence
  • Temporality

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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