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The Networked Cultural Diffusion of Kpop
A webometric approach to examine actors, networks and content in
YouTube-based di...
The Global Diffusion of Kpop
Daegu
Lima, Peru
U.S.A
Iran
The Role of Web 2.0 in Kpop Diffusion
Participatory, networked, and decentralized
An Integrated Webometric Model for Web 2.0-based Cultural Diffusion
RQs
Question 1: What are the demographic and behavioral characteristics of the
actors in YouTube-based cultural diffusions...
Methods
Profile analysis: gender, age and cultural identity (using location as a proxy
measure)
Network analysis: mutual-s...
Data collection
• We used the API-based analysis program Webometric Analyst 2.0
to download 1,000 comments posted to Psy’s...
Findings - Actors
• 69% commenters are males
• The average age: 23.5
• U.S. (47%), UK (7%), Canada (7%), Korea (4%), Nethe...
Findings - Network
Commentary networks
Mutual-subscription networks
Findings - Network
Actors by top centrality
User IDs
Incoming
replies
Outgoing
replies
Incoming
repliers
Outgoing
repliers...
Findings - Network
Network variations along user characteristics
• Based on peer interactions (CN), male commenters were m...
Findings - Network
Most subscribed YouTube channels by the commenters
# of subscribers Channels Characteristics
5460 NIGAH...
Findings - Content
Semantic network
There was a frequent
mention of cultural and
geographic terms such
as Korea (392) and
...
Findings - Content
Sentiment
• Sentiment strength was measured on a scale from -5 to 5, with 5 indicating extremely
positi...
Findings - Content
Sentiment variations by user characteristics
• The more culturally distant from Korea in terms of power...
Insights in Summary
• The actors in the diffusion of the GS video were young YouTube users
living in North America and Eur...
The Big Picture
• The theoretical contribution: connecting a webometric approach to the
study of innovators and early adop...
THANK YOU!
Weiai (Wayne) Xu, weiaixu@buffalo.edu
http://curiositybits.com/
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The Networked Cultural Diffusion of Kpop on YouTube

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Presented at DISC2014

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The Networked Cultural Diffusion of Kpop on YouTube

  1. 1. The Networked Cultural Diffusion of Kpop A webometric approach to examine actors, networks and content in YouTube-based diffusion • Weiai (Wayne) Xu, PhD Candidate, Department of Communication, SUNY-Buffalo • Ji Young Park, Interdisciplinary Program of East Asian Cultural Studies, YeungNam University • Jiyoung Kim, Cyber Emotions Research Center, YeungNam University • Dr. Han Woo Park, Department of Media and Communication, YeungNam University
  2. 2. The Global Diffusion of Kpop Daegu Lima, Peru U.S.A Iran
  3. 3. The Role of Web 2.0 in Kpop Diffusion Participatory, networked, and decentralized
  4. 4. An Integrated Webometric Model for Web 2.0-based Cultural Diffusion
  5. 5. RQs Question 1: What are the demographic and behavioral characteristics of the actors in YouTube-based cultural diffusions? Question 2: What are the characteristics of peer interactions and shared interest among the actors in YouTube-based cultural diffusions? Question 3: What opinions are expressed by the actors in their evaluation of a cultural offering on YouTube?
  6. 6. Methods Profile analysis: gender, age and cultural identity (using location as a proxy measure) Network analysis: mutual-subscription networks (MSNs) and commentary networks (CN) Content analysis: Sentiment (using SentiStrength) and semantics
  7. 7. Data collection • We used the API-based analysis program Webometric Analyst 2.0 to download 1,000 comments posted to Psy’s Gangnam style video in August 2012 (a month after the initial release of the video) • The sample has 983 valid comments contributed by 534 users • 93,884 total comments at the time of data-collection
  8. 8. Findings - Actors • 69% commenters are males • The average age: 23.5 • U.S. (47%), UK (7%), Canada (7%), Korea (4%), Netherlands (3%)…
  9. 9. Findings - Network Commentary networks Mutual-subscription networks
  10. 10. Findings - Network Actors by top centrality User IDs Incoming replies Outgoing replies Incoming repliers Outgoing repliers Age Gender Location Argo*** 86 42 28 15 35 M US Julius Vil*** 42 12 18 6 N.A. N.A. N.A. jackie chan*** 30 4 14 2 N.A. N.A. N.A. Neuron*** 22 4 9 2 N.A. M US **** 20 24 10 9 N.A. N.A. N.A. TheSocklessMon*** 18 14 6 5 N.A. M US DarealRadexHE*** 16 6 4 2 28 M PL Hinata*** 16 2 8 1 14 F ES Gamink*** 16 6 8 3 N.A. M CA
  11. 11. Findings - Network Network variations along user characteristics • Based on peer interactions (CN), male commenters were more likely to have continuous discussions than female commenters. • Commenters in their twenties were most likely to participate in peer interactions (i.e. replying to comments), followed by those in their teens and younger, thirties, and forties and older. • Based on mutual interest (MSN), there was a greater overlap in topical interests for male commenters than for female commenters. • The overlap in topic interests was most prominent among those in their twenties and teens and younger.
  12. 12. Findings - Network Most subscribed YouTube channels by the commenters # of subscribers Channels Characteristics 5460 NIGAH*** reaction videos on various topics 3486 FREDD*** active and peculiar videos 3321 SM*** To gag and be critical 2775 RAYWILLIAMJOHN*** Comic books and hip-hop music 2346 BIGB*** Official BIGBANG YouTube channel 2016 2NE1 Official 2NE1 YouTube channel 1711 EPICMEALT*** Criticisms about high-calorie foods 1711 KEVJU*** Being sociable and uploading videos about jokes and school problems 1596 SMTOWN Official SMTOWN YouTube channel 1378 FPSRUS*** Guns and explosives 1225 MACHIN*** The premier global video entertainment network for gamers featuring gameplay videos, trailers, original series, and live streams, among others 1225 YGENTERTAINMENT Official YG Entertainment YouTube channel
  13. 13. Findings - Content Semantic network There was a frequent mention of cultural and geographic terms such as Korea (392) and Japan (465). Korean figures and organizations were among those terms most frequently mentioned, including Hyuna (a Kpop artist appearing in the GS video) and YG (a Psy- affiliated firm)
  14. 14. Findings - Content Sentiment • Sentiment strength was measured on a scale from -5 to 5, with 5 indicating extremely positive attitudes, whereas -5, extremely negative sentiments. • Comments with moderately favorable views (+3 and +2) outnumbered those with moderately unfavorable ones (-3 and -2) by about 100. Sentiment 1 2 3 4 5 Positive 566 252 138 10 1 Negative 626 151 114 67 9 Note: N=967.
  15. 15. Findings - Content Sentiment variations by user characteristics • The more culturally distant from Korea in terms of power distance, the less likely the positive sentiment toward the GS. • The more dissimilar the country to Korea in terms of both individualism and masculinity, the more likely the negative comment.
  16. 16. Insights in Summary • The actors in the diffusion of the GS video were young YouTube users living in North America and Europe. • Interactions flowed between a small set of users, and most users represented a silent majority who only subscribed to the video channel but did not interact with other users. • Commenters were interested in the cultural origin of the video and related media content to the broader national and cultural image of a foreign country • Users whose cultural background is similar to Korean culture are more likely to favor GS video.
  17. 17. The Big Picture • The theoretical contribution: connecting a webometric approach to the study of innovators and early adopters in the evaluation stage of cultural diffusion. • The methodological contribution: integrating multiple webometric approaches (social network analysis, semantic analysis and sentiment analysis) to address three elements in diffusion (actors, relationship and content)
  18. 18. THANK YOU! Weiai (Wayne) Xu, weiaixu@buffalo.edu http://curiositybits.com/

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