research-article

Beyond Entertainment: Unpacking Danmaku and Comments' Role of Information Sharing and Sentiment Expression in Online Crisis Videos

Authors:

Bo LiAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2

Article No.: 411, Pages 1 - 27

https://doi.org/10.1145/3479555

Published: 18 October 2021 Publication History

Abstract

Online videos are playing an increasingly important role in timely information dissemination especially during public crises. Video commentary, synchronous or asynchronous, is indispensable in viewers' engagement and participation, and may in turn contribute to video with additional information and emotions. Yet, the roles of video commentary in crisis communications are largely unexplored, which we believe that an investigation not only provides timely feedback but also offers concrete guidelines for better information dissemination. In this work, we study two distinct commentary features of online videos: traditional asynchronous comments and emerging synchronous danmaku. We investigate how users utilize these two features to express their emotions and share information during a public health crisis. Through qualitative analysis and applying machine learning techniques on a large-scale danmaku and comment dataset of Chinese COVID-19-related videos, we uncover the distinctive roles of danmaku and comments in crisis communication, and propose comprehensive taxonomies for information themes and emotion categories of commentary. We also discover the unique patterns of crisis communications presented by danmaku, such as collective emotional resonance and style-based highlighting for emphasizing critical information. Our study captures the unique values and salient features of the emerging commentary interfaces, in particular danmaku, in the context of crisis videos, and further provides several design implications to enable more effective communications through online videos to engage and empower users during crises.

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Index Terms

Beyond Entertainment: Unpacking Danmaku and Comments' Role of Information Sharing and Sentiment Expression in Online Crisis Videos
1. Human-centered computing
  1. Collaborative and social computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue CSCW2

CSCW2

October 2021

5376 pages

EISSN:2573-0142

DOI:10.1145/3493286

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Published: 18 October 2021

Published in PACMHCI Volume 5, Issue CSCW2

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Cited By

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https://dl.acm.org/doi/10.1145/3637349
He CDeng YHe LGuo QZhang YLu ZLi B(2024)Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A SiteProceedings of the ACM on Human-Computer Interaction10.1145/36373278:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637327
Somandepalli KSiy OJou B(2024)Relational Affect in Dyadic InteractionsExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3637206(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3637206
Chen SCheng HSitu JKirst DSu SMalhotra SAngrave LWang QHuang Y(2024)Towards Inclusive Video Commenting: Introducing Signmaku for the Deaf and Hard-of-HearingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642287(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642287
Lyu SLu Z(2023)Exploring Temporal and Multilingual Dynamics of Post-Disaster Social Media Discourse: A Case of Fukushima Daiichi Nuclear AccidentProceedings of the ACM on Human-Computer Interaction10.1145/35794847:CSCW1(1-24)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579484
He CDeng YYang WLi B(2022)"Help! Can You Hear Me?": Understanding How Help-Seeking Posts are Overwhelmed on Social Media during a Natural DisasterProceedings of the ACM on Human-Computer Interaction10.1145/35551476:CSCW2(1-25)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555147

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