Danmaku vs. Forum Comments: Understanding User Participation and Knowledge Sharing in Online Videos

Simple item page
dc.contributor.authorWu, Qunfang
dc.contributor.authorSang, Yisi
dc.contributor.authorZhang, Shan
dc.contributor.authorHuang, Yun
dc.date.accessioned2023-03-17T22:48:49Z
dc.date.available2023-03-17T22:48:49Z
dc.date.issued2018
dc.description.abstractDanmaku is a new video comment feature that is gaining popularity. Unlike typical forum comments that are displayed with user names below videos, danmaku comments are overlaid on the screen of videos without showing users' information. Prior work studied forum comments and danmaku separately, and little work compared how these two features were used. We collected 38,399 danmaku comments and 16,414 forum comments posted in 2017 on 30 popular videos on Bilibili.com. We examined the usage of these two features in terms of user participation, language used, and ways of sharing knowledge. We found that more users posted danmaku comments, and they also posted these more frequently than forum comments. Even though, in total, more negative language was used in danmaku comments than in forum comments, active users appeared to post more positive comments in danmaku. There was no such correlation in forum comments. It is interesting to find that danmaku and forum comments enabled knowledge sharing in a complementary manner, where danmaku comments involved more explicit knowledge sharing and forum comments exhibited more tacit knowledge sharing. We discuss design implications to promote social interactions for online video systems.en
dc.identifier.doi10.1145/3148330.3148344
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4542
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2018 ACM International Conference on Supporting Group Work
dc.subjectexplicit knowledge
dc.subjectdanmaku comments
dc.subjectknowledge sharing
dc.subjectforum comments
dc.subjecttacit knowledge
dc.subjectsynchronous
dc.subjectanonymous
dc.titleDanmaku vs. Forum Comments: Understanding User Participation and Knowledge Sharing in Online Videosen
dc.typeText/Conference Paper
gi.citation.startPage209–218
gi.citations.count43
gi.citations.elementSi Chen, Jason Situ, Haocong Cheng, Desirée Kirst, Yun Huang (2023): MirrorUs: Mirroring Peers' Affective Cues to Promote Learner's Meta-Cognition in Video-based Learning, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(7), doi:10.1145/3610079
gi.citations.elementMatin Yarmand, Srishti Palani, Scott Klemmer (2021): Adjacent Display of Relevant Discussion Helps Resolve Confusion, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(5), doi:10.1145/3449217
gi.citations.elementZhicong Lu, Seongkook Heo, Daniel J. Wigdor (2018): StreamWiki, In: Proceedings of the ACM on Human-Computer Interaction CSCW(2), doi:10.1145/3274381
gi.citations.elementShugang Li, He Zhu, Ying Qian, Shiqi Ren, Bing Fang (2022): Classification and Quantification of Danmaku Interactions in Online Video Lectures: An Exploratory Study, In: Wireless Communications and Mobile Computing, doi:10.1155/2022/5656669
gi.citations.elementAdele Lu Jia, Yuanxing Rao, Siqi Shen (2021): Analyzing and Predicting User Donations in Social Live Video Streaming, In: 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), doi:10.1109/cscwd49262.2021.9437676
gi.citations.elementSaelyne Yang, Changyoon Lee, Hijung Valentina Shin, Juho Kim (2020): Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art, In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3313831.3376390
gi.citations.elementJie Zhao, Jie Zhou, Peng Wu, Kun Liang (2024): Boosting e-commerce sales with live streaming: the power of barrages, In: Electronic Commerce Research, doi:10.1007/s10660-024-09913-7
gi.citations.elementAlan Mustafa (2020): The personalization of e-learning systems with the contrast of strategic knowledge and learner’s learning preferences: an investigatory analysis, In: Applied Computing and Informatics 1(17), doi:10.1016/j.aci.2018.08.001
gi.citations.elementFudong Wang, Xiayu Fu, Zengyao Sun (2021): A Comparative Analysis of the Impact of Barrage and Comments on Video Popularity, In: IEEE Access, doi:10.1109/access.2021.3134104
gi.citations.elementFeifei Zhou, Xiyin Zhou (2022): “Across Time and Space, I Am Together with Many, Many Others”: Digital Writing and Temporality on Chinese Social Media, In: Social Media + Society 3(8), doi:10.1177/20563051221117564
gi.citations.elementYu Zhang, Changyang He, Huanchen Wang, Zhicong Lu (2023): Understanding Communication Strategies and Viewer Engagement with Science Knowledge Videos on Bilibili, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544548.3581476
gi.citations.elementLeticia-Tian Zhang, Daniel Cassany (2020): Making sense of <i>danmu</i>: Coherence in massive anonymous chats on Bilibili.com, In: Discourse Studies 4(22), doi:10.1177/1461445620940051
gi.citations.elementZhicong Lu, Michelle Annett, Daniel Wigdor (2019): Vicariously Experiencing it all Without Going Outside, In: Proceedings of the ACM on Human-Computer Interaction CSCW(3), doi:10.1145/3359127
gi.citations.elementSi Chen, Haocong Cheng, Jason Situ, Desirée Kirst, Suzy Su, Saumya Malhotra, Lawrence Angrave, Qi Wang, Yun Huang (2024): Towards Inclusive Video Commenting: Introducing Signmaku for the Deaf and Hard-of-Hearing, In: Proceedings of the CHI Conference on Human Factors in Computing Systems, doi:10.1145/3613904.3642287
gi.citations.elementQingchun Bai, Qinmin Vivian Hu, Linhui Ge, Liang He (2019): Stories That Big Danmaku Data Can Tell as a New Media, In: IEEE Access, doi:10.1109/access.2019.2909054
gi.citations.elementXiayu Chen, Junya Shen, Shaobo Wei (2023): What reduces product uncertainty in live streaming e-commerce? From a signal consistency perspective, In: Journal of Retailing and Consumer Services, doi:10.1016/j.jretconser.2023.103441
gi.citations.elementYuhong Yang (2023): <i>Danmu</i> as archi-text and meta-text: a semiotic analysis of online video consumption shaped by viewers’ (translational) comments, In: Translation Studies 3(16), doi:10.1080/14781700.2023.2236108
gi.citations.elementXiuyu Chen, Shihui Feng (2023): Exploring the relationships between social presence and teaching presence in online video‐based learning, In: Journal of Computer Assisted Learning 6(39), doi:10.1111/jcal.12843
gi.citations.elementKun Wang, Zhao Pan, Yaobin Lu, Sumeet Gupta (2019): What Motives Users to Participate in Danmu on Live Streaming Platforms? The Impact of Technical Environment and Effectance, In: Data and Information Management 3(3), doi:10.2478/dim-2019-0013
gi.citations.elementYuhong Yang (2019): <i>Danmaku</i> subtitling: An exploratory study of a new grassroots translation practice on Chinese video-sharing websites, In: Translation Studies 1(14), doi:10.1080/14781700.2019.1664318
gi.citations.elementBingjie Yu, Ryan Kelly, Leon Watts (2018): Reacting to Political Videos, In: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/3272973.3274040
gi.citations.elementLi Yan, Namjun Cha, Hosoo Cho, Junseok Hwang (2019): Video Diffusion in User-generated Content Website: An empirical analysis of Bilibili, In: 2019 21st International Conference on Advanced Communication Technology (ICACT), doi:10.23919/icact.2019.8701897
gi.citations.elementLeticia-Tian Zhang, Daniel Cassany (2019): The ‘danmu’ phenomenon and media participation: Intercultural understanding and language learning through ‘The Ministry of Time’, In: Comunicar 58(27), doi:10.3916/c58-2019-02
gi.citations.elementJinhao Li, Yuxiang (Chris) Zhao, Yan Zhang, Xujie Ye (2023): Coactive Vicarious Learning in Danmaku Contexts: A New Perspective of Informal Learning, In: Proceedings of the Association for Information Science and Technology 1(60), doi:10.1002/pra2.934
gi.citations.elementBo Yang (2024): Combining Danmaku and Discussion Boards: Toward A Scalable and Sociable Environment for Mass Collaboration in MOOCs, In: International Journal of Computer-Supported Collaborative Learning 3(19), doi:10.1007/s11412-024-09426-3
gi.citations.elementQunfang Wu, Yisi Sang, Yun Huang (2019): Danmaku, In: ACM Transactions on Social Computing 2(2), doi:10.1145/3329485
gi.citations.elementJennifer Yameng Liang (2021): Understanding context in computer-mediated communication, In: Functions of Language 3(28), doi:10.1075/fol.20041.lia
gi.citations.elementYuhong Yang (2021): Making sense of the “raw meat”: A social semiotic interpretation of user translation on the danmu interface, In: Discourse, Context &amp; Media, doi:10.1016/j.dcm.2021.100550
gi.citations.elementJunjie H. Xu, Yulin Cai, Zhou Fang, Pujana Paliyawan (2021): Promoting Mental Well-Being for Audiences in a Live-Streaming Game by Highlight-Based Bullet Comments, In: 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), doi:10.1109/gcce53005.2021.9621853
gi.citations.elementYang Yuhong (2022): Participatory viewers’ engagement with the dual translation problem on the <i>danmu</i> interface: a social semiotic case study, In: Text &amp; Talk 6(43), doi:10.1515/text-2021-0032
gi.citations.element卓越 袁 (2024): Research on Predictive Model Construction Based on Online Reviews, In: Operations Research and Fuzziology 02(14), doi:10.12677/orf.2024.142177
gi.citations.elementXujie Ye, Yuxiang (Chris) Zhao, Jinhao Li, Yan Zhang, Preben Hansen (2023): Exploring the Information Cues of Danmaku Comments to Stimulate Users' Affective Generation in Reaction Videos, In: Proceedings of the Association for Information Science and Technology 1(60), doi:10.1002/pra2.847
gi.citations.elementS. Chen, S. Li, Y. Li, J. Zhu, J. Long, S. Chen, J. Zhang, X. Yuan (2022): DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos, In: Computer Graphics Forum 3(41), doi:10.1111/cgf.14552
gi.citations.elementAva Bartolome, Shuo Niu (2023): A Literature Review of Video-Sharing Platform Research in HCI, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544548.3581107
gi.citations.elementLisi Liang (2023): How humour travels in the new and dynamic mediascape: a case study of a short video platform, Little Red Book, and an online teaching platform, Rain Classroom, In: Humanities and Social Sciences Communications 1(10), doi:10.1057/s41599-023-01822-8
gi.citations.elementJiayi Chen, Wen Wu, Wenxin Hu, Liang He (2020): TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos, In: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), doi:10.1109/ictai50040.2020.00021
gi.citations.elementChangyang He, Lu He, Tun Lu, Bo Li (2021): Beyond Entertainment: Unpacking Danmaku and Comments' Role of Information Sharing and Sentiment Expression in Online Crisis Videos, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(5), doi:10.1145/3479555
gi.citations.elementJing Yang, Tingyu Zhang, Jiaxin Gao, Zheshi Bao, Hongyan Liang, Hangming Zhang (2024): Why College Students Prefer to Study on Online Video-Sharing Platforms: The Case of Bilibili Platform, In: Lecture Notes in Business Information Processing, doi:10.1007/978-3-031-60264-1_15
gi.citations.elementRan Bao, Sile Liang (2024): The Feature and Diversity of Learners' Performance on Different MOOC Forums in the Online Learning Era, In: International Journal of Distance Education Technologies 1(22), doi:10.4018/ijdet.350267
gi.citations.elementChingying Wong, Jingjing Zhang (2023): Understanding Interaction Patterns of Bullet-Screen Videos: A Knowledge Building Perspective, In: 2023 5th International Conference on Computer Science and Technologies in Education (CSTE), doi:10.1109/cste59648.2023.00056
gi.citations.elementKaterina Gouleti (2023): Bilingual subtitling in streaming media, In: Target. International Journal of Translation Studies 3(35), doi:10.1075/target.00013.gou
gi.citations.elementJie Li, Xinning Gui, Yubo Kou, Yukun Li (2019): Live Streaming as Co-Performance, In: Proceedings of the ACM on Human-Computer Interaction CSCW(3), doi:10.1145/3359166
gi.citations.elementWenche Wang, Jiajia Fan (2022): Topic mining of real-time discussions: what catches the attention of live-streaming esports viewers?, In: European Sport Management Quarterly 2(24), doi:10.1080/16184742.2022.2117397
gi.conference.locationSanibel Island, Florida, USA

Files

Collections

GROUP 2018