Qunfang Wu
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Abstract
Danmaku is a new commentary design for online videos. Unlike traditional forums where comments are displayed asynchronously below a video screen in order of when the comments are posted, danmaku comments are overlaid on the screen and displayed along with the video. This new design creates a pseudo-synchronous effect by displaying asynchronous comments with certain video segments in a synchronous fashion, and the links between danmaku comments and the video segments are defined by users. Danmaku is gaining popularity; however, little is known, compared to the traditional forum design, regarding how effective the new danmaku design is in promoting social interactions among online users. In this work, we collected 38,399 danmaku comments and 16,414 forum comments posted in 2017 on 30 popular videos on Bilibili.com. We compared user participation from different perspectives, e.g., number of comments, sentiment of the comments, language patterns, and ways of knowledge sharing. Our results showed that compared to the traditional linear design, the danmaku design significantly promoted user participation, i.e., there were more users and more comments in danmaku. Additionally, active users posted more positive comments, though they were anonymous; more linguistic memes were used in danmaku, suggesting that it was used to facilitate community-building. In addition to its effectiveness in promoting social interactions, our results also show that danmaku and forum designs play complementary roles in knowledge sharing, where danmaku comments involved more explicit (know-what) knowledge sharing, and forum comments exhibited more tacit (know-how) knowledge sharing. Our findings contribute to the development of social presence theory and have design implications for better social interaction via online videos.
- Syed Sibte Raza Abidi, Salah Hussini, Wimorat Sriraj, Somboon Thienthong, and Allen G. Finley. 2009. Knowledge sharing for pediatric pain management via a Web 2.0 framework. In Proceedings of the Medical Informatics Europe Conference (MIE’09). 287--291.Google Scholar
- Rami A. Al-Sa’Di and Jihad M. Hamdan. 2005. “Synchronous online chat” English: Computer-mediated communication. World English. 24, 4 (2005), 409--424.Google Scholar
- Maryam Alavi and Dorothy E. Leidner. 2001. Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly 25, 1 (2001), 107--136. Google ScholarDigital Library
- Dorine C. Andrews. 2002. Audience-specific online community design. Commun. ACM 45, 4 (2002), 64--68. Google ScholarDigital Library
- Michael Argyle and Janet Dean. 1965. Eye-contact, distance and affiliation. Sociometry (1965), 289--304.Google Scholar
- Baidu Baike. 2017. Danmaku terms. Retrieved from: https://baike.baidu.com/item/%E5%BC%B9%E5%B9%95%E6%9C%AF%E8%AF%AD.Google Scholar
- Mohammad Ehsan Basiri, Nasser Ghasem-Aghaee, and Ahmad Reza Naghsh-Nilchi. 2014. Exploiting reviewers’ comment histories for sentiment analysis. J. Inform. Sci. 40, 3 (2014), 313--328. Google ScholarDigital Library
- Christian Bauckhage. 2011. Insights into Internet memes. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM’11).Google Scholar
- Bilibili. 2009. Bilibili Danmaku video website. Retrieved from: http://www.bilibili.com/.Google Scholar
- Frank Biocca, Chad Harms, and Judee K. Burgoon. 2003. Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoper. Virtual Environ. 12, 5 (2003), 456--480. Google ScholarDigital Library
- John Seely Brown and Paul Duguid. 1998. Organizing knowledge. Cali. Manag. Rev. 40, 3 (1998), 90--111.Google Scholar
- Pablo Cesar and David Geerts. 2011. Past, present, and future of social TV: A categorization. In Proceedings of the Consumer Communications and Networking Conference (CCNC’11). IEEE, 347--351.Google ScholarCross Ref
- Yue Chen, Qin Gao, and Pei-Luen Patrick Rau. 2015. Understanding gratifications of watching Danmaku videos—Videos with overlaid comments. In Proceedings of the International Conference on Cross-Cultural Design. Springer, 153--163.Google ScholarCross Ref
- Anna Chmiel, Pawel Sobkowicz, Julian Sienkiewicz, Georgios Paltoglou, Kevan Buckley, Mike Thelwall, and Janusz A. Hołyst. 2011. Negative emotions boost user activity at BBC forum. Physica A: Statist. Mech. Appl. 390, 16 (2011), 2936--2944.Google ScholarCross Ref
- Seungwoo Choi and Aviv Segev. 2016. Finding informative comments for video viewing. In Proceedings of the IEEE International Conference on Big Data (Big Data’16). IEEE, 2457--2465.Google ScholarCross Ref
- Kimberly M. Christopherson. 2007. The positive and negative implications of anonymity in Internet social interactions: “On the Internet, nobody knows you’re a dog.”Comput. Human Behav. 23, 6 (2007), 3038--3056.Google ScholarDigital Library
- Ritesh Chugh. 2015. Do Australian universities encourage tacit knowledge transfer? In Proceedings of the International Conference on Knowledge Management and Information Sharing (KMIS’15). 128--135.Google ScholarDigital Library
- Michael A. Cusumano and Richard W. Selby. 1998. Microsoft Secrets: How the World’s Most Powerful Software Company Creates Technology, Shapes Markets, and Manages People. Simon and Schuster.Google Scholar
- Manuela Delfino and Stefania Manca. 2007. The expression of social presence through the use of figurative language in a web-based learning environment. Comput. Human Behav. 23, 5 (2007), 2190--2211. Google ScholarDigital Library
- Merriam-Webster Dictionary. 2002. Merriam-Webster. Retrieved from: http://www.mw.com/home.htm (2002).Google Scholar
- Tessa Dwyer. 2012. Fansub dreaming on ViKi: “Don’t just watch but help when you are free.”The Translator 18, 2 (2012), 217--243.Google ScholarCross Ref
- Stephanie Edgerly, Emily K. Vraga, Kajsa E. Dalrymple, Timothy Macafee, and Timothy K. F. Fung. 2013. Directing the dialogue: The relationship between YouTube videos and the comments they spur. J. Inform. Technol. Polit. 10, 3 (2013), 276--292.Google ScholarCross Ref
- Antonios Garas, David Garcia, Marcin Skowron, and Frank Schweitzer. 2012. Emotional persistence in online chatting communities. Sci. Rep. 2 (2012), 402.Google Scholar
- Rosanna E. Guadagno, Daniel M. Rempala, Shannon Murphy, and Bradley M. Okdie. 2013. What makes a video go viral? An analysis of emotional contagion and Internet memes. Comput. Human Behav. 29, 6 (2013), 2312--2319. Google ScholarDigital Library
- Charlotte N. Gunawardena. 1995. Social presence theory and implications for interaction and collaborative learning in computer conferences. Int. J. Edu. Telecomm. 1, 2 (1995), 147--166.Google Scholar
- Russell Haines, Jill Hough, Lan Cao, and Douglas Haines. 2014. Anonymity in computer-mediated communication: More contrarian ideas with less influence. Group Dec. Negot. 23, 4 (2014), 1--22.Google Scholar
- Sehee Han, Jinyoung Min, and Heeseok Lee. 2015. Antecedents of social presence and gratification of social connection needs in SNS: A study of Twitter users and their mobile and non-mobile usage. Int. J. Inform. Manag. 35, 4 (2015), 459--471.Google ScholarDigital Library
- Maxwell F. Harper, Daniel Moy, and Joseph A. Konstan. 2009. Facts or friends?: Distinguishing informational and conversational questions in social Q&A sites. In Proceedings of the Conference on Human Factors in Computing Systems (SIGCHI’09). ACM, 759--768.Google Scholar
- Chip Heath and Victor Seidel. 2005. Language as a coordinating mechanism: How linguistic memes help direct appropriate action. In Proceedings of the Academy of Management Meetings.Google Scholar
- Shwu-Min Horng. 2016. A study of active and passive user participation in virtual communities. J. Electron. Comm. Res. 17, 4 (2016).Google Scholar
- Carol Hostetter and Monique Busch. 2013. Community matters: Social presence and learning outcomes. J. Scholar. Teach. Learn. 13, 1 (2013), 77--86.Google Scholar
- Craig D. Howard, Andrew F. Barrett, and Theodore W. Frick. 2010. Anonymity to promote peer feedback: Pre-service teachers’ comments in asynchronous computer-mediated communication. J. Edu. Comput. Res. 43, 1 (2010), 89--112.Google ScholarCross Ref
- Stefan Hrastinski. 2008. The potential of synchronous communication to enhance participation in online discussions: A case study of two e-learning courses. Inform. Manag. 45, 7 (2008), 499--506. Google ScholarDigital Library
- Huixian Huang and Jie Zhu. 2015. Danmaku community’s meaning construction and psychological needs to Danmaku language. Young Journal. 9 (2015), 73--74.Google Scholar
- Yun Huang, Yifeng Huang, Na Xue, and Jeffrey P. Bigham. 2017. Leveraging complementary contributions of different workers for efficient crowdsourcing of video captions. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’17). ACM, 4617--4626.Google Scholar
- Wijnand IJsselsteijn, Joy van Baren, and Froukje van Lanen. 2003. Staying in touch: Social presence and connectedness through synchronous and asynchronous communication media. Human-Comput. Interact.: Theor. Pract. (Part II) 2, 924 (2003), e928.Google Scholar
- Yeonwook Im and Okhwa Lee. 2003. Pedagogical implications of online discussion for preservice teacher training. J. Res. Technol. Edu. 36, 2 (2003), 155--170.Google ScholarCross Ref
- Seung-A Annie Jin and Namkee Park. 2009. Parasocial interaction with my avatar: Effects of interdependent self-construal and the mediating role of self-presence in an avatar-based console game, Wii. CyberPsych. Behav. 12, 6 (2009), 723--727.Google ScholarCross Ref
- Tracy Kidder. 2011. The Soul of a New Machine. Back Bay Books. Google ScholarDigital Library
- Peter G. Kilner and Christopher M. Hoadley. 2005. Anonymity options and professional participation in an online community of practice. In Proceedings of the Conference on Computer Support for Collaborative Learning: Learning 2005: The Next 10 Years! International Society of the Learning Sciences, 272--280. Google ScholarDigital Library
- Jungjoo Kim, Yangyi Kwon, and Daeyeon Cho. 2011. Investigating factors that influence social presence and learning outcomes in distance higher education. Comput. Edu. 57, 2 (2011), 1512--1520. Google ScholarDigital Library
- Michele Knobel and Colin Lankshear. 2007. A New Literacies Sampler. Vol. 29. Peter Lang Publishing Group.Google Scholar
- Alice Lam. 2000. Tacit knowledge, organizational learning and societal institutions: An integrated framework. Organiz. Studies 21, 3 (2000), 487--513.Google ScholarCross Ref
- Annie Lang. 2000. The limited capacity model of mediated message processing. J. Commun. 50, 1 (2000), 46--70.Google ScholarCross Ref
- Chei Sian Lee. 2012. Exploring emotional expressions on YouTube through the lens of media system dependency theory. New Media Societ. 14, 3 (2012), 457--475.Google ScholarCross Ref
- Alexander Leichtle. 2012. The Games-Howell test in R. Retrieved from: http://www.gcf.dkf.unibe.ch/BCB/files/BCB_10Jan12_Alexander.pdf.Google Scholar
- Chen Li. 2015. Can Danmaku interation be introduced into live telecast? News World 95--96 (2015), 80--80.Google Scholar
- Xiao Liu and Gabriele De Seta. 2014. Chinese fansub groups as communites of practice: An ethnography of online language learning. China Online. Routledge, 139–154.Google Scholar
- Xiaojuan Ma and Nan Cao. 2017. Video-based evanescent, anonymous, asynchronous social interaction: Motivation and adaption to medium. In Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 770--782. Google ScholarDigital Library
- Zhihao Ma and Jinping Ge. 2014. The review of the Japanese animation barrage: A perspective of parasocial interaction. J. Int. Commun. 8 (2014), 116--130.Google Scholar
- Mark Mabrito. 2006. A study of synchronous versus asynchronous collaboration in an online business writing class. Amer. J. Dist. Edu. 20, 2 (2006), 93--107.Google ScholarCross Ref
- Amy Madden, Ian Ruthven, and David McMenemy. 2013. A classification scheme for content analyses of YouTube video comments. J. Document. 69, 5 (2013), 693--714.Google ScholarCross Ref
- Richard E. Mayer. 2002. Cognitive theory and the design of multimedia instruction: An example of the two-way street between cognition and instruction. New Direct. Teach. Learn. 2002, 89 (2002), 55--71.Google ScholarCross Ref
- Mahnaz Moallem. 2015. The impact of synchronous and asynchronous communication tools on learner self-regulation, social presence, immediacy, intimacy and satisfaction in collaborative online learning. Online J. Dist. Edu. e-Learn. 3, 3 (2015), 55--77.Google Scholar
- Moegirlpedia. 2017. Danmaku terminologies. Retrieved from: https://zh.moegirl.org/%E5%BC%B9%E5%B9%95.Google Scholar
- Martin Mulligan. 1996. Superhighway to heaven. Financial Times (1996), 11.Google Scholar
- Helen Nissenbaum. 1999. The meaning of anonymity in an information age. Inform. Societ. 15, 2 (1999), 141--144.Google ScholarCross Ref
- Rachel O’Donovan. 2016. “To boldly go where no psychologist has gone before”: Effects of participation in fandom activities on parasocial relationships. J. Appl. Psych. Soc. Sci. 2, 1 (2016), 41--61.Google Scholar
- University of Oklahoma. Institute of Group Relations and Muzafer Sherif. 1961. Intergroup Conflict and Cooperation: The Robbers Cave Experiment. Vol. 10. University Book Exchange Norman, OK.Google Scholar
- Eli Omernick and Sara Owsley Sood. 2013. The impact of anonymity in online communities. In Proceedings of the International Conference on Social Computing (SocialCom’13). IEEE, 526--535.Google ScholarDigital Library
- David Osimo. 2008. Web 2.0 in Government: Why and How. Technical Report. Institute for Prospective Technological Studies (IPTS), JRC, European Commission, EUR 23358.Google Scholar
- Xiaofu Ouyang. 2016. Study on Xiamen Tourist Environment Image Based on Visitors’ Microblog Data Analysis. Ph.D. Dissertation. Xiamen University, China.Google Scholar
- Sirous Panahi, Jason Watson, and Helen Partridge. 2012. Social media and tacit knowledge sharing: Developing a conceptual model. World Acad. Sci., Eng. Technol. 64 (2012), 1095--1102.Google Scholar
- Roy Pea, Robb Lindgren, and Joseph Rosen. 2008. Cognitive technologies for establishing, sharing and comparing perspectives on video over computer networks. Soc. Sci. Inform. 47, 3 (2008), 353--370.Google ScholarCross Ref
- Xixian Peng, Yuxiang Chris Zhao, and Hock-Hai Teo. 2016. Understanding young people’s use of Danmaku websites: The effect of perceived coolness and subcultural identi. In Proceedings of the Pacific Asia Conference on Information Systems (PACIS’16). 252.Google Scholar
- Lionel P. Robert and Alan R. Dennis. 2005. Paradox of richness: A cognitive model of media choice. IEEE Trans. Prof. Commun. 48, 1 (2005), 10--21.Google ScholarCross Ref
- Hamano Satoshi. 2008. How information systems have been designed so far. In Architecture of the Ecosystem. BIGART. ISBN: 978-4-7571-0245-3.Google Scholar
- Frank Schweitzer and David Garcia. 2010. An agent-based model of collective emotions in online communities. Euro. Phys. J. B 77, 4 (2010), 533--545.Google Scholar
- John Seabrook. 1994. Rocking in Shangri-la. The New Yorker (1994), 64--78.Google Scholar
- Yi Shen, Hock Chan, and Iris Hung. 2014. Let the comments fly: The effects of flying commentary presentation on consumer judgment. International Journal of Systems Science 12, 12 (2014), 1469–1475.Google Scholar
- Limor Shifman. 2012. An anatomy of a YouTube meme. New Media Societ. 14, 2 (2012), 187--203.Google ScholarCross Ref
- Limor Shifman. 2013. Memes in a digital world: Reconciling with a conceptual troublemaker. J. Comput.-Mediat. Commun. 18, 3 (2013), 362--377.Google ScholarCross Ref
- John Short, Ederyn Williams, and Bruce Christie. 1976. The social psychology of telecommunications. (1976).Google Scholar
- Katharina Steininger, David Ruckel, Ewald Dannerer, and Friedrich Roithmayr. 2010. Healthcare knowledge transfer through a Web 2.0 portal: An Austrian approach. Int. J. Health. Technol. Manag. 11, 1--2 (2010), 13--30.Google ScholarCross Ref
- Emily Sun, Rodrigo de Oliveira, and Joshua Lewandowski. 2017. Challenges on the journey to co-watching YouTube. In Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 783--793. Google ScholarDigital Library
- Bosiljka Tadić, Vladimir Gligorijević, Marija Mitrović, and Milovan Šuvakov. 2013. Co-evolutionary mechanisms of emotional bursts in online social dynamics and networks. Entropy 15, 12 (2013), 5084--5120.Google ScholarCross Ref
- John C. Tang, Gina Venolia, and Kori M. Inkpen. 2016. Meerkat and periscope: I stream, you stream, apps stream for live streams. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’16). ACM, 4770--4780.Google Scholar
- Yan Tang, Yibing Gong, Li Xu, Qingheng Zhang, Huaxin Liu, Sheng Wang, Qian Wang, and Xiaofeng Gao. 2017. Is Danmaku an effective way for promoting event based social network? In Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 319--322.Google ScholarDigital Library
- Mike Thelwall, Pardeep Sud, and Farida Vis. 2012. Commenting on YouTube videos: From Guatemalan rock to el big bang. J. Amer. Societ. Inform. Sci. Technol. 63, 3 (2012), 616--629. Google ScholarDigital Library
- Yuan Tian. 2011. Fansub Cyber Culture in China. Georgetown University.Google Scholar
- Chih-Hsiung Tu. 2000. On-line learning migration: From social learning theory to social presence theory in a CMC environment. J. Netw. Comput. Appl. 23, 1 (2000), 27--38. Google ScholarDigital Library
- Chih-Hsiung Tu. 2001. How Chinese perceive social presence: An examination of interaction in online learning environment. Edu. Media Int. 38, 1 (2001), 45--60.Google Scholar
- Chih-Hsiung Tu. 2002. The impacts of text-based CMC on online social presence. J. Interact. Online Learn. 1, 2 (2002), 1--24.Google Scholar
- Chih-Hsiung Tu and Marina McIsaac. 2002. The relationship of social presence and interaction in online classes. Amer. J. Dist. Edu. 16, 3 (2002), 131--150.Google ScholarCross Ref
- Peiyun Tu, Meiling Chen, Chilan Yang, and Haochuan Wang. 2016. Co-viewing room: Mobile TV content sharing in social chat. In Proceedings of the Conference on Human Factors in Computing Systems (CHI’16). ACM, 1615--1621. Google ScholarDigital Library
- Cindy Boyles Tucey. 2010. Online vs. face-to-face deliberation on the global warming and stem cell issues. (2010).Google Scholar
- Olga Uryupina, Barbara Plank, Aliaksei Severyn, Agata Rotondi, and Alessandro Moschitti. 2014. SenTube: A corpus for sentiment analysis on YouTube social media. In Proceedings of the International Conference on Language Resources and Evaluation (LREC’14). Citeseer, 4244--4249.Google Scholar
- Dorothy Van Soest, Robert Canon, and Darlene Grant. 2000. Using an interactive website to educate about cultural diversity and societal oppression. J. Soc. Work Edu. 36, 3 (2000), 463--479.Google ScholarCross Ref
- Anthony J. Viera, Joanne M. Garrett et al. 2005. Understanding interobserver agreement: The kappa statistic. Fam. Med. 37, 5 (2005), 360--363.Google Scholar
- Junhua Wang and Hua Wang. 2015. From a marketplace to a cultural space: Online meme as an operational unit of cultural transmission. J. Tech. Writ. Commun. 45, 3 (2015), 261--274.Google ScholarCross Ref
- Yang Wang, Huichuan Xia, and Yun Huang. 2016. Examining American and Chinese Internet users’ contextual privacy preferences of behavioral advertising. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work 8 Social Computing. ACM, 539--552.Google ScholarDigital Library
- Jerry Wellman. 2009. Organizational Learning: How Companies and Institutions Manage and Apply Knowledge. Springer.Google ScholarCross Ref
- Miaomiao Wen, Diyi Yang, and Carolyn Rose. 2014. Sentiment analysis in MOOC discussion forums: What does it tell us? In Proceedings of the 7th International Conference on Educational Data Mining.Google Scholar
- Fons Wijnhoven. 2008. Manufacturing knowledge work: The European perspective. In Methods and Tools for Effective Knowledge Life-cycle-management. Springer, 23--44.Google Scholar
- Wikipedia. 2018. ACG (subculture). Retrieved from: https://en.wikipedia.org/wiki/ACG_(subculture).Google Scholar
- Qunfang Wu, Yisi Sang, Shan Zhang, and Yun Huang. 2018. Danmaku vs. forum comments: Understanding user participation and knowledge sharing in online videos. In Proceedings of the ACM Conference on Supporting Groupwork. ACM, 209--218.Google ScholarDigital Library
- Yaxing Yao, Jennifer Bort, and Yun Huang. 2017. Understanding Danmaku’s potential in online video learning. In Proceedings of the Conference Extended Abstracts on Human Factors in Computing Systems (CHI’17). ACM, 3034--3040.Google ScholarDigital Library
- Bingjie Yu and Leon Watts. 2017. Designing commenting mechanisms for dynamic media: Synchronous overlay and adjacent scrollable. In Proceedings of the ACM Conference on Designing Interactive Systems. ACM, 18--22. Google ScholarDigital Library
- Yuxiang Zhao and Jian Tang. 2016. Exploring the motivational affordances of Danmaku video sharing websites: Evidence from gamification design. In Proceedings of the International Conference on Human-Computer Interaction. Springer, 467--479.Google ScholarCross Ref
Index Terms
- Danmaku: A New Paradigm of Social Interaction via Online Videos
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