Longitudinal dynamics of the cultural diffusion of Kpop on YouTube

This study takes a longitudinal perspective towards the early stage of social-media-based cultural diffusion. Based on the case of Korean artist Psy’s viral video Gangnam Style, the study reveals the temporal changes of YouTube user characteristics, user-to-user networks, the semantics and sentiment in user-generated comments. Specifically, it shows that YouTube commenters were mostly young and male, with U.S. based commenters dominating the early stage of diffusion. Later, there was an increased share of participation from non-U.S. commenters. Commenting behavior was intensive in early stages, but the interest wore off as time went by. User-to-user interactions based on comment-replying became gradually compartmentalized; in addition, the video and its artist and underlying cultural phenomenon were being evaluated against other popular culture figures and shows. The semantic analysis also shows that commenters were interested in the national cultural origin of the video.

[1]  Joke Hermes.  Re-reading Popular Culture , 2005 .

[2]  Han Woo Park,et al.  The networked cultural diffusion of Korean wave , 2015, Online Inf. Rev..

[3]  R. Burt.  The Network Structure Of Social Capital , 2000 .

[4]  Han Woo Park,et al.  Globalization of cultural products: a webometric analysis of Kpop in Spanish-speaking countries , 2015 .

[5]  C. Haythornthwaite.  Social network analysis: An approach and technique for the study of information exchange☆ , 1996 .

[6]  George A. Barnett,et al.  The structure of international music flows using network analysis , 2010, New Media Soc..

[7]  Patricia G. Lange.  Publicly Private and Privately Public: Social Networking on YouTube , 2007, J. Comput. Mediat. Commun..

[8]  Kim B. Clark,et al.  Design Rules: The Power of Modularity , 2000 .

[9]  Jana Diesner.  From Texts to Networks: Detecting and Managing the Impact of Methodological Choices for Extracting Network Data from Text Data , 2012, KI - Künstliche Intelligenz.

[10]  Mary Anne Kennan,et al.  The State of the Nation: A Snapshot of Australian Institutional Repositories , 2009, First Monday.

[11]  Han Woo Park,et al.  Measuring web ecology by Facebook, Twitter, blogs and online news: 2012 general election in South Korea , 2014, Quality & Quantity.

[12]  Henry Chesbrough,et al.  Networks of innovation and modularity: a dynamic perspective , 2008, Int. J. Technol. Manag..

[13]  Bradley E. Wiggins,et al.  Memes as genre: A structurational analysis of the memescape , 2015, New Media Soc..

[14]  Axel Bruns,et al.  Blogs, Wikipedia, Second Life, and Beyond: From Production to Produsage , 2008 .

[15]  Joshua Green,et al.  The entrepreneurial vlogger: Participatory culture beyond the professional/amateur divide , 2009 .

[16]  George A. Barnett,et al.  Uncovering Transnational Hyperlink Patterns and Web-Mediated Contents: A New Approach Based on Cracking.com Domain , 2011 .

[17]  Limor Shifman,et al.  An anatomy of a YouTube meme , 2012, New Media Soc..

[18]  Mike Thelwall,et al.  Commenting on YouTube videos: From guatemalan rock to El Big Bang , 2012, J. Assoc. Inf. Sci. Technol..

[19]  Seong-Cheol Choi,et al.  Comparative trends in global communication networks of #Kpop tweets , 2014 .

[20]  K. Barzilai-Nahon.  Toward a theory of network gatekeeping , 2008 .

[21]  Kyujin Jung,et al.  A semantic (TRIZ) network analysis of South Korea's "Open Public Data" policy , 2015, Gov. Inf. Q..

[22]  Han Woo Park,et al.  Comparing Twitter and YouTube networks in information diffusion: The case of the “Occupy Wall Street” movement , 2015 .

[23]  J. Nye,et al.  Soft power and the Korean Wave , 2013 .

[24]  James A. Danowski,et al.  “Privacy” in Semantic Networks on Chinese Social Media: The Case of Sina Weibo , 2013 .

[25]  Ben Shneiderman,et al.  Analyzing Social Media Networks with NodeXL: Insights from a Connected World , 2010 .

[26]  Gregory D. Saxton,et al.  Modeling the adoption and use of social media by nonprofit organizations , 2012, New Media Soc..

[27]  Loet Leydesdorff,et al.  The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications , 2001 .

[28]  H. Park,et al.  Networking Interest and Networked Structure , 2015 .

[29]  L. Freeman.  Centrality in social networks conceptual clarification , 1978 .

[30]  Sujin Choi,et al.  An exploratory approach to a Twitter-based community centered on a political goal in South Korea: Who organized it, what they shared, and how they acted , 2014, New Media Soc..

[31]  Martin G. Everett,et al.  Analyzing social networks , 2013 .

[32]  Han Woo Park,et al.  Arab Spring Effects on Meanings for Islamist Web Terms and on Web Hyperlink Networks among Muslim-Majority Nations: A Naturalistic Field Experiment , 2014 .

[33]  Arun Vishwanath,et al.  An Examination of the Factors Contributing to Adoption Decisions among Late-Diffused Technology Products , 2003, New Media Soc..

[34]  Karine Nahon,et al.  Going Viral , 2013 .

[35]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[36]  W. Russell Neuman,et al.  THE THRESHOLD OF PUBLIC ATTENTION , 1990 .

[37]  Han Woo Park,et al.  Political Discourse Among Key Twitter Users: The Case Of Sejong City In South Korea , 2013 .

[38]  A. Weaver,et al.  The (Non)Violent World of Youtube: Content Trends in Web Video (Top 3 Faculty Paper) , 2012 .

[39]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[40]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[41]  Weiai Wayne Xu,et al.  Networked Cultural Diffusion and Creation on YouTube: An Analysis of YouTube Memes , 2016 .

[42]  Peter R. Monge,et al.  Communication Network Evolution in Organizational Communities , 2008 .

[43]  R. Ackland,et al.  Online collective identity: The case of the environmental movement , 2011, Soc. Networks.

[44]  Han Woo Park,et al.  Can web ecology provide a clearer understanding of people’s information behavior during election campaigns? , 2013 .

[45]  Kyungmo Kim,et al.  The Determinants of International News Flow , 1996 .

[46]  Han Woo Park,et al.  GOVERNMENT-CIVIC GROUP CONFLICTS AND COMMUNICATION STRATEGY: A TEXT ANALYSIS OF TV DEBATES ON KOREA'S IMPORT OF U.S. BEEF , 2012 .

[47]  Han Woo Park,et al.  Textual analysis of a political message: the inaugural addresses of two Korean presidents , 2010 .

[48]  Fang Wu,et al.  Social Networks that Matter: Twitter Under the Microscope , 2008, First Monday.

[49]  Han Woo Park,et al.  Organic Products in Mexico and South Korea on Twitter , 2016 .

[50]  Han Woo Park,et al.  Decomposing social and semantic networks in emerging "big data" research , 2013, J. Informetrics.

[51]  E. Rogers.  Diffusion of Innovations , 1962 .

[52]  Han Woo Park,et al.  Korean and Chinese Webpage Content: Who Are Talking About What and How? , 2012, J. Comput. Mediat. Commun..

[53]  Matthew A. Shapiro,et al.  More than entertainment: YouTube and public responses to the science of global warming and climate change , 2015 .

[54]  H. Park,et al.  Predicting Opinion Leaders in Twitter Activism Networks , 2014 .

[55]  Karine Barzilai-Nahon,et al.  (PRE-PRINT DRAFT - DECEMBER, 2007, JASIST-JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY) TOWARD A THEORY OF NETWORK GATEKEEPING: A FRAMEWORK FOR EXPLORING INFORMATION CONTROL , 2007 .

[56]  Justin W. Patchin,et al.  Trends in online social networking: adolescent use of MySpace over time , 2010, New Media Soc..

[57]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .