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Investigating Internet-based  Korean politics using e-research tools Prof.  Han Woo PARK Associate Professor  Dept. of  Media & Communication, YeungNamUniversity 214-1 Dae-dong, Gyeongsan-si,Gyeongsangbuk-do 712-749, S.Korea [email_address] http://www.hanpark.net Director of WCU Webometrics Institute http://english-webometrics.yu.ac.kr   This was presented at International Symposium on Culture Technology 2009  organized by KAIST,  “Internet, Society, and Humanity”  Nov. 02 - Nov. 03 http://www.culturetechnology.org/ This is in collaboration with Dr. Yon-Soo Lim, Dr. Chieng-Leng Hsu, DPhil.  Steven Sams, DPhil, Se-Jung Park, and Ting Wang. Many thanks to my colleagues and assistants!! WCU WEBOMETRICS INSTITUTE
 
What is e-research? A minor but growing approach to the study of e-science is the  methodological perspective  based on the use of  new digital tools  available online for conducting humanities and social science research.
Two areas of e-research in Social Science ,[object Object],[object Object]
http://participatorysociety.org/wiki/index.php?title=Online_Research
<Table 1> Development stage of e-Science  Nentwich(2003)  Type Traditional Science   ------------------------->  e-Science Stage 1 2 3 4 Information  gathering Libraries;  personal conversations Offline database Online databases; link collections;  discussion lists Digital libraries;  Knowbots Data  production Interviews;  experiments Electron, text analysis;  simulation/ modeling Internet surveys Distributed computing;  virtual reality Data  management Card files; lists Hypertextual card  files; databases Networked card files; de-central databases Data processing/ analysis With paper  and pencil Electron, data-processing;  expert systems Modelling;  simulations Artificial intelligence
WCUBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Empirical findings on current status of e-research in South Korea - Search queries and returned webpages and websites Korean English webpages found webpages returned sites 사이버인프라 C yberinfrastructure 8,210 296 230 사이버연구 C yberresearch 65,900 285 219 디지털인문학 digital humanities 12,300 164 128 E - 사이언스 E -science 17,000 199 142 사이버과학연구 C yberscience 58 43 35 E - 인프라 E -infrastructure 98 39 35 E - 리서치 E -research 102 28 20 E - 인문학 E -humanities 1 1 1 E - 사회과학 E -social science 0 0 0 Total   103,709 1,055 810
[object Object],WCU WEBOMETRICS INSTITUTE Results Words are larger according to the frequency of their occurrence but their positions are randomly-chosen for the best visualization
[object Object],WCU WEBOMETRICS INSTITUTE Websites are larger according to their frequency of retrieval; however,  heir colors and locations are randomly-chosen for the best visualization
Author types of Korea e-science websites   WCU WEBOMETRICS INSTITUTE Media sites were the most frequently retrieved, with slightly less than half of the sites for this study (44 out of 104 sites) Author types No. of sites Percent Mass media 27 26.0 Public/Government 18 17.3 Technology Media 17 16.3 Portals/Search engines/Blogs 15 14.4 Private/Industry 14 13.5 Academic/University 13 12.5 Total 104 100.0
[object Object],[object Object],[object Object],[object Object],Co-link network analysis WCU WEBOMETRICS INSTITUTE
Inter-link network analysis WU WEBOMETRICS INSTITUTE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why do we need e-research to investigate Internet-mediated politics in South Korea?   ,[object Object],[object Object],[object Object],[object Object],[object Object],WCU WEBOMETRICS INSTITUTE
Korea’s politicized cyberspace Core-peripheral structure of diffusion Similar to ‘Slash dot effect’ in the US, web-based discussion media have been playing a tremendous role in raising public awareness and providing an investigative reporting abut social media
Blogging and citizenship ,[object Object],[object Object],[object Object],[object Object]
Political role of the Internet ,[object Object],[object Object],[object Object],[object Object]
Sunstein’s  Republic.com 2.0 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sunstein’s Republic.com 2.0 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Theoretical controversy of  Balkanization Unjustified temporal effect: Some  negative  evidences about deepening divide Simplified media usage model: Shifting from  DailyMe  to  Produsage Limited to political cooperation issues in a well-connected  social world: ‘ Collective intelligence ’ certainly occurs in some (loose) contexts??
Is ‘balkanization’ an intentional outcome? Axel Brun’s produsage is defined as  &quot;the collaborative and continuous building and extending of existing content in pursuit of further improvement&quot; ,  not all participants are even aware of their contribution to produsage projects; their motivations may be mainly social or individual, and still their acts of participation can be harnessed as contributions to produsage
Theoretical controversy of  Mobilization Several factors  involved: Socio-political-cultural constraints and practices (e.g., regulation, policing, IT infra, power-distance etc.)  Inter-media agenda setting: Influential conventional media’s impact on users Competitive media market: Obsolete DailyMe Increasing media education: Multiple site-browsing and balanced approach
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Balkanization:  Structure of political hyperlink connectivity in South Korea As of 28 October 2009
Hogan (2008)
Network of bilinked citizen blogs URI=Centre DLP=Left GNP=Right Just A-list blogs exchanging links with politicians
Bi-linked network of politically active  A-list Korean citizen blogs (July 2005) URI=Centre DLP=Left GNP=Right Just A-list blogs exchanging links with politicians
Affiliation network diagram using pages   linked to Lee’s and Park’s sites   N = 901 (Lee: 215, Park: 692, Shared: 6) Primary election within GNP  in 2007
Inter-linking associations  among political actors Web 1.0, Web 2.0, and Twitter As of 28 October 2009
 
 
[object Object]
Web 1.0, Web 2.0 &Twitter  (1/7) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Star networks without any isolation 2000 VS 2001
2005 VS 2006
[object Object]
[object Object]
Web 1.0, Web 2.0 &Twitter  (6/7) Web Types Year Sum of links (Mean) Density Centralisation Gini Coefficient IN OUT Web 1.0 (Homepage) 2000 N=245 373 (1.52) 0.006 1.84 69.33 0.984 2001 515 (2.10) 0.009 1.19 99.55 0.996 Web 2.0 (Blog) 2005 N=99 652 (6.59) 0.067 22.07 41.66 0.759 2006 589 (5.95) 0.061 20.67 35.10 0.763 Twitter 2009 111 (5.05) 0.240 24.72 39.68 0.408
Web 1.0, Web 2.0 & Twitter  (7/7) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tool development  & Live research ,[object Object],[object Object]
Automatic search tool using Korea engines
 
WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS Background information of 18 th  Korean MPs Gender Age Type Male Female 30-39 40-49 50-59 60-69 70-79 Frequency (%) 251 (86.0%) 41 (14.0%) 3 (1.0%) 52 (17.8%) 144 (49.3%) 80 (27.4%) 13 (4.5%) The number of terms (how many times he/she has been elected for the national assembly) Term 1th 2th 3th 4th 5th 6th 7th Frequency (%) 130 (44.5%) 89 (30.5%) 44 (15.1%) 19 (6.5%) 6 (2.1%) 3 (1.0%) 1 (0.3%) Party Frequency (%) Constituency Classification Frequency (%) Grand National Party 168(57.5%) Seoul and its vicinity -Seoul, Incheon, Gyeonggi-do  110(37.7%) Democratic Labor Party 5(1.7%) Provincial regions -Daejeon, Ulsan, Gwangju, Busan, Daegu, Gangwon-do, Chungcheongnam/buk-do, Gyeongshangnam/buk-do, Jeollanam/buk-do, Jeju-do 131(44.9%) Democratic Party 84(28.8%) Liberty Forward Party 18(6.2%) Pro-Park Geun-hye Coalition 5(1.7%) Renewal of Korea Party 3(1.0%) Proportional representation 51(17.5%) New Progressive Party 1(.3%) Independent 8(2.7%)
* Female: Red ,  Male: Blue ,  Ruling party: italic From 27th Aug to 10th Sep, 2009   Online presence of Korean politicians Ranking Web visibility No. of Inlinks No. of webpages 1 Geun-Hye Park Geun-Hye Park Young Sun Park  2 Jin Park  Dong-Yong Chung Chun Jin Kim  3 Dong-Yong Chung Moon-Soon Choi Jung Bae Cheon 4 Hoi-Chang Lee Gi-Gab Kang Yu Chul Won  5 Sek-Kyun Jung  Jung-Sook Kwak  Geun-Hye Park 6 Jung-Hoon Kim  Gun-Hyun Lee Geun Chan Ryu   7 Young-Jin Kim Woo-Yeo Hwang  Dong Chul Kim  8 Sung-Soo Kim Woon-Tae Kang  Dong-Yong Chung 9 Hyung-O Kim Jin-ha Hwang  Je Se Oh  10 Jun-Pyo Hong Sun-Sook Park  Yang Seok Jung
Online visibility Female
Male Online visibility
WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS Overall Results ,[object Object],[object Object]
WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Background Case 1. 2007 Korean Presidential Election Table 1. Websites of Presidential Candidates and Parties Case 1. 2007 Korean Presidential Election Candidate  Website Candidate’s Party  Website Lee Myung-Bak (Lee MB)  www.mbplaza.net Grand National Party (GNP)  www.hannara.or.kr Chung Dong-Young (Chung DY)  www.cdy21.net United New Democratic Party (UNDP)  www.undp.kr Lee Hoi-Chang (Lee HC)  www.leehc.org Independent  Moon Kook-Hyun  (Moon KH) www.moon21.kr Creative Party (CKP) www.ckp.kr Kwon Young-Ghil  (Kwon YG) www.ghil.net Democratic Labor Party (DLP)  www.kdlp.org Rhee In-Je (Rhee IJ) www.ijworld.or.kr Democratic Party (DP)  www.minjoo.or.kr Huh Kyung-Young  (Huh KY) Same as party site Economy & Republican Party (ERP) www.gonghwa.com Geum Min (Geum M)  www.minnmin.net Socialist Party (KSP) www.sp.or.kr Chung Kun-Mo (Chung KM)  www.bestjung.kr True Owner Coalition (TOC)  www.chamjuin.or.kr Chun Kwan (Chun K) www.chamsaram.or.kr Chamsaram Society Full True Act (CSFTA) Same as candidate site Sim Dae-Pyeng (Sim DY) www.dpsim.co.kr People First Party (PFP) www.mypfp.or.kr Lee Soo-Sung   (Lee SS) www.leesoosung.com People’s Coalition (PC) Same as candidate site
2  Dec 2007 11  Dec 2007 17  Dec 2007
Network Measures with Three Different Points Network measures 2 Dec 07 11 Dec 2007 17 Dec 2007 Clustering coefficient 2.581 2.368 1.777 Average distance (Cohesion value) 1.564 (0.215) 1.821 (0.273) 1.681 (0.346) Degree centralities of sites ijworld.or.kr leehc.org ckp.kr 0.158 0.000 0.000 0.263 0.053 0.053 0.684 0.263 0.053
Cyworld Extractor - Overview Java-based software tool that, given the URL of a politician on Cyworld, extracts comments given by citizens along with related profile attributes.  The stored data, which can amount to thousands of records, is stored in a suitable format for import into statistical software
① ② ③ The status of mini-homepy ① How active ②How famous ③How friendly Gender Name Geun-Hye Park’s mini-hompy Visitor count
Captured on 19th June, 2009 * Female: Red ,  Male: Blue ,  Ruling party: italic Cyworld presence of Korean politicians Cyworld  Comments Visitor  counts Bookmarked by Others Scraped  Posting Active Score Famous  Score Friendly  Score Kyoeng-Won Na Geun-Hye Park  Geun-Hye Park  Geun-Hye Park  Geun-Hye Park  Geun-Hye Park  Geun-Hye Park  Geun-Hye Park Hoi-Chang Lee   Jung-Wook Hong  Guk-Hyun Moon  Kyoeng-Won Na Kyoeng-Won Na Guk-Hyun Moon  Hoi-Chang Lee Kyung-Won Na  Guk-Hyun Moon  Jung-Wook Hong  Dong-Yong Chung Dong-Young Jung Dong-Young Jung Kyeong-Tae Jo Dong-Young Jung Dong-Young Jung Hoi-Chang Lee Soo-hee Jin   Guk-Hyun Moon  Kyoeng-Won Na Dong-Yong Chung Guk-Hyun Moon  Kyoeng-Won Na Dong-Yong Chung Hee-Ryong Won  Woon-Tae Kang  Gi-Gab Kang Kook-Hyn Moon Jung-Wook Hong  Hoi-Chang Lee Kyoeng-Won Na Hong-jun An  Kyung-Tae Cho  Hee-Ryong Won  Gi-Gab Kang Woon-Tae Kang  Hee-Ryong Won  Eul-Dong Kim  Jin-ha Hwang  Hee-Ryong Won  Mong-Jun Chung Sook-Mi Son Kyung-Tae Cho  Mong-Jun Chung Sun-Kyo Han  Jae-chul Sim  Eul-Dong Kim  Jae-chul Sim  Mong-Jun Chung Hee-Ryong Won  Eul-Dong Kim   Mong-Jun Chung Woon-tae Kang  Mong-Jun Chung Sun-Kyo Han  Jeong-Wook Hong Eul-Dong Kim   Sun-Kyo Han  Gi-Gab Kang Sun-Kyo Han  Jun-pyo Hong  Jun-pyo Hong
WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Case 2.  Cyworld Mini-hompies of Korean Legislators Cyworld Mini-hompies of Korean legislators  However, buddy data is not publicly available!! The network structure using co-link data shows a clear butterfly pattern. T here is one hub (ghism) that belongs to Park Gy un-Hye (Park GH, www.cyworld.com/ghism), the daughter of ex-president Park Jeong-Hee and one of two major GNP candidates (along with president-elect Lee MB) in the 2007 presidential race.
IP address Cyworld-IP screen capture Seong-Min Yoo’s mini-hompy
Cyworld Extractor  –  Data One example of possible uses for the collected data is to determine the region of posters commenting from  Korea
Cyworld Extractor - Data The country of origin of those users commenting from outside Korea is also possible
Table 1.   Summary of comments posted on ten political profile pages between  April 2008 and June 2009 . One politician was selected at random from the eighty-one successfully scraped political  profiles and the male and female comments posted  were taken as the dataset.   Politician Male Female Unknown Total 나경원   ( Kyeong-Won Na) 10547 6611 2288 19446 박근혜   ( Geun-Hye Park) 10086 7199 1651 18936 이회창   ( Hoi-Chang Lee) 8970 6284 2380 17634 조경태   ( Kyeong-Tae Cho) 2889 2412 11101 16402 정동영   ( Dong-Yong Chung) 4872 4430 981 10283 문국현   ( Kook-Hyn Moon) 3104 4229 711 8044 강기갑   ( Gi-Gap Kang) 1405 1065 3997 6467 손숙미   ( Sook-Mi Son) 1634 771 586 2991 정몽준   ( Mong-Jun Chung) 1146 409 842 2397 홍정욱   ( Jeong-Wook Hong) 913 753 126 1792
Why do Kyeong-Tae Jo and Kyoeng-Won Na  have so many comments? ,[object Object],[object Object],[object Object]
South Koreans fearing 'mad cow disease' fight US beef imports in May and June 2008
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
Why do they have so many comments? <Comments on Kyeong-Won Na’s mini-hompy>  <Comments on Kyeong-Tae Jo’s mini-hompy> Date Total Irrelevant Related in issue on American beef Positive Negative June, 2008 9935 2309 23.24% 378 3.80% 7248 72.95% Date Total Irrelevant Related in Issue on American beef Positive Negative  7th May, 08  7,545 23 0.30% 7,514 99.59% 8 0.11% 8 th  May, 08 2,744 6 0.22% 2,734 99.64% 4 0.15% 9 th  May, 08 826 2 0.24% 818 99.03% 6 0.73% Total  11,115 31 0.28% 11,066 99.56% 18 0.16%
Discussion ,[object Object],[object Object],[object Object]
 
[object Object]
Sentimental Analysis of Korean Politicians ’  Cyworld mini-hompy
Sentimental Analysis of Korean Politicians ’  Cyworld mini-hompy
Sentimental Analysis of Korean Politicians ’  Cyworld mini-hompy n = 650 n = 756
Sentimental Analysis of Korean Politicians ’  Cyworld mini-hompy Positive comments Negative comments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
*Occurred at least 4 times among the Top 10 Words per each politician positive negative center male female
Twitter Extractor - Overview Sharing a similar interface and extraction mechanism with the Cyworld extractor, this application requires the URL of a user on Twitter. It is then possible to collect all tweets and determine the attributes of the user’s follower / following network
Twitter Extractor - Data A simple use for this data would be to visualize a user’s network and ascertain which users are reciprocal in their friendships
* A type of tweets - A case Study on twitter of 18th National Assembly Members * Audiences of tweets * Topic of tweets
Thank you for listening!   WCU WEBOMETRICS INSTITUTE Acknowledgments.   WCU Webometrics Institute acknowledges that  this research is supported from the  WCU project   investigating internet-based politics using e-research tools granted from South Korean Government

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Investigating Internet-based Korean politics using e-research tools Kaist Culture Technology Symposium(2 Nov2009)

  • 1. Investigating Internet-based Korean politics using e-research tools Prof. Han Woo PARK Associate Professor Dept. of Media & Communication, YeungNamUniversity 214-1 Dae-dong, Gyeongsan-si,Gyeongsangbuk-do 712-749, S.Korea [email_address] http://www.hanpark.net Director of WCU Webometrics Institute http://english-webometrics.yu.ac.kr This was presented at International Symposium on Culture Technology 2009 organized by KAIST, “Internet, Society, and Humanity” Nov. 02 - Nov. 03 http://www.culturetechnology.org/ This is in collaboration with Dr. Yon-Soo Lim, Dr. Chieng-Leng Hsu, DPhil. Steven Sams, DPhil, Se-Jung Park, and Ting Wang. Many thanks to my colleagues and assistants!! WCU WEBOMETRICS INSTITUTE
  • 2.  
  • 3. What is e-research? A minor but growing approach to the study of e-science is the methodological perspective based on the use of new digital tools available online for conducting humanities and social science research.
  • 4.
  • 6. <Table 1> Development stage of e-Science Nentwich(2003) Type Traditional Science -------------------------> e-Science Stage 1 2 3 4 Information gathering Libraries; personal conversations Offline database Online databases; link collections; discussion lists Digital libraries; Knowbots Data production Interviews; experiments Electron, text analysis; simulation/ modeling Internet surveys Distributed computing; virtual reality Data management Card files; lists Hypertextual card files; databases Networked card files; de-central databases Data processing/ analysis With paper and pencil Electron, data-processing; expert systems Modelling; simulations Artificial intelligence
  • 7. WCUBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Empirical findings on current status of e-research in South Korea - Search queries and returned webpages and websites Korean English webpages found webpages returned sites 사이버인프라 C yberinfrastructure 8,210 296 230 사이버연구 C yberresearch 65,900 285 219 디지털인문학 digital humanities 12,300 164 128 E - 사이언스 E -science 17,000 199 142 사이버과학연구 C yberscience 58 43 35 E - 인프라 E -infrastructure 98 39 35 E - 리서치 E -research 102 28 20 E - 인문학 E -humanities 1 1 1 E - 사회과학 E -social science 0 0 0 Total   103,709 1,055 810
  • 8.
  • 9.
  • 10. Author types of Korea e-science websites WCU WEBOMETRICS INSTITUTE Media sites were the most frequently retrieved, with slightly less than half of the sites for this study (44 out of 104 sites) Author types No. of sites Percent Mass media 27 26.0 Public/Government 18 17.3 Technology Media 17 16.3 Portals/Search engines/Blogs 15 14.4 Private/Industry 14 13.5 Academic/University 13 12.5 Total 104 100.0
  • 11.
  • 12.
  • 13.
  • 14. Korea’s politicized cyberspace Core-peripheral structure of diffusion Similar to ‘Slash dot effect’ in the US, web-based discussion media have been playing a tremendous role in raising public awareness and providing an investigative reporting abut social media
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. Theoretical controversy of Balkanization Unjustified temporal effect: Some negative evidences about deepening divide Simplified media usage model: Shifting from DailyMe to Produsage Limited to political cooperation issues in a well-connected social world: ‘ Collective intelligence ’ certainly occurs in some (loose) contexts??
  • 20. Is ‘balkanization’ an intentional outcome? Axel Brun’s produsage is defined as &quot;the collaborative and continuous building and extending of existing content in pursuit of further improvement&quot; , not all participants are even aware of their contribution to produsage projects; their motivations may be mainly social or individual, and still their acts of participation can be harnessed as contributions to produsage
  • 21. Theoretical controversy of Mobilization Several factors involved: Socio-political-cultural constraints and practices (e.g., regulation, policing, IT infra, power-distance etc.) Inter-media agenda setting: Influential conventional media’s impact on users Competitive media market: Obsolete DailyMe Increasing media education: Multiple site-browsing and balanced approach
  • 22.
  • 23.
  • 24. Balkanization: Structure of political hyperlink connectivity in South Korea As of 28 October 2009
  • 26. Network of bilinked citizen blogs URI=Centre DLP=Left GNP=Right Just A-list blogs exchanging links with politicians
  • 27. Bi-linked network of politically active A-list Korean citizen blogs (July 2005) URI=Centre DLP=Left GNP=Right Just A-list blogs exchanging links with politicians
  • 28. Affiliation network diagram using pages linked to Lee’s and Park’s sites N = 901 (Lee: 215, Park: 692, Shared: 6) Primary election within GNP in 2007
  • 29. Inter-linking associations among political actors Web 1.0, Web 2.0, and Twitter As of 28 October 2009
  • 30.  
  • 31.  
  • 32.
  • 33.
  • 34. Star networks without any isolation 2000 VS 2001
  • 36.
  • 37.
  • 38. Web 1.0, Web 2.0 &Twitter (6/7) Web Types Year Sum of links (Mean) Density Centralisation Gini Coefficient IN OUT Web 1.0 (Homepage) 2000 N=245 373 (1.52) 0.006 1.84 69.33 0.984 2001 515 (2.10) 0.009 1.19 99.55 0.996 Web 2.0 (Blog) 2005 N=99 652 (6.59) 0.067 22.07 41.66 0.759 2006 589 (5.95) 0.061 20.67 35.10 0.763 Twitter 2009 111 (5.05) 0.240 24.72 39.68 0.408
  • 39.
  • 40.
  • 41. Automatic search tool using Korea engines
  • 42.  
  • 43. WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS Background information of 18 th Korean MPs Gender Age Type Male Female 30-39 40-49 50-59 60-69 70-79 Frequency (%) 251 (86.0%) 41 (14.0%) 3 (1.0%) 52 (17.8%) 144 (49.3%) 80 (27.4%) 13 (4.5%) The number of terms (how many times he/she has been elected for the national assembly) Term 1th 2th 3th 4th 5th 6th 7th Frequency (%) 130 (44.5%) 89 (30.5%) 44 (15.1%) 19 (6.5%) 6 (2.1%) 3 (1.0%) 1 (0.3%) Party Frequency (%) Constituency Classification Frequency (%) Grand National Party 168(57.5%) Seoul and its vicinity -Seoul, Incheon, Gyeonggi-do 110(37.7%) Democratic Labor Party 5(1.7%) Provincial regions -Daejeon, Ulsan, Gwangju, Busan, Daegu, Gangwon-do, Chungcheongnam/buk-do, Gyeongshangnam/buk-do, Jeollanam/buk-do, Jeju-do 131(44.9%) Democratic Party 84(28.8%) Liberty Forward Party 18(6.2%) Pro-Park Geun-hye Coalition 5(1.7%) Renewal of Korea Party 3(1.0%) Proportional representation 51(17.5%) New Progressive Party 1(.3%) Independent 8(2.7%)
  • 44. * Female: Red , Male: Blue , Ruling party: italic From 27th Aug to 10th Sep, 2009   Online presence of Korean politicians Ranking Web visibility No. of Inlinks No. of webpages 1 Geun-Hye Park Geun-Hye Park Young Sun Park 2 Jin Park Dong-Yong Chung Chun Jin Kim 3 Dong-Yong Chung Moon-Soon Choi Jung Bae Cheon 4 Hoi-Chang Lee Gi-Gab Kang Yu Chul Won 5 Sek-Kyun Jung Jung-Sook Kwak Geun-Hye Park 6 Jung-Hoon Kim Gun-Hyun Lee Geun Chan Ryu 7 Young-Jin Kim Woo-Yeo Hwang Dong Chul Kim 8 Sung-Soo Kim Woon-Tae Kang Dong-Yong Chung 9 Hyung-O Kim Jin-ha Hwang Je Se Oh 10 Jun-Pyo Hong Sun-Sook Park Yang Seok Jung
  • 47.
  • 48. WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Background Case 1. 2007 Korean Presidential Election Table 1. Websites of Presidential Candidates and Parties Case 1. 2007 Korean Presidential Election Candidate Website Candidate’s Party Website Lee Myung-Bak (Lee MB) www.mbplaza.net Grand National Party (GNP) www.hannara.or.kr Chung Dong-Young (Chung DY) www.cdy21.net United New Democratic Party (UNDP) www.undp.kr Lee Hoi-Chang (Lee HC) www.leehc.org Independent Moon Kook-Hyun (Moon KH) www.moon21.kr Creative Party (CKP) www.ckp.kr Kwon Young-Ghil (Kwon YG) www.ghil.net Democratic Labor Party (DLP) www.kdlp.org Rhee In-Je (Rhee IJ) www.ijworld.or.kr Democratic Party (DP) www.minjoo.or.kr Huh Kyung-Young (Huh KY) Same as party site Economy & Republican Party (ERP) www.gonghwa.com Geum Min (Geum M) www.minnmin.net Socialist Party (KSP) www.sp.or.kr Chung Kun-Mo (Chung KM) www.bestjung.kr True Owner Coalition (TOC) www.chamjuin.or.kr Chun Kwan (Chun K) www.chamsaram.or.kr Chamsaram Society Full True Act (CSFTA) Same as candidate site Sim Dae-Pyeng (Sim DY) www.dpsim.co.kr People First Party (PFP) www.mypfp.or.kr Lee Soo-Sung (Lee SS) www.leesoosung.com People’s Coalition (PC) Same as candidate site
  • 49. 2 Dec 2007 11 Dec 2007 17 Dec 2007
  • 50. Network Measures with Three Different Points Network measures 2 Dec 07 11 Dec 2007 17 Dec 2007 Clustering coefficient 2.581 2.368 1.777 Average distance (Cohesion value) 1.564 (0.215) 1.821 (0.273) 1.681 (0.346) Degree centralities of sites ijworld.or.kr leehc.org ckp.kr 0.158 0.000 0.000 0.263 0.053 0.053 0.684 0.263 0.053
  • 51. Cyworld Extractor - Overview Java-based software tool that, given the URL of a politician on Cyworld, extracts comments given by citizens along with related profile attributes. The stored data, which can amount to thousands of records, is stored in a suitable format for import into statistical software
  • 52. ① ② ③ The status of mini-homepy ① How active ②How famous ③How friendly Gender Name Geun-Hye Park’s mini-hompy Visitor count
  • 53. Captured on 19th June, 2009 * Female: Red , Male: Blue , Ruling party: italic Cyworld presence of Korean politicians Cyworld Comments Visitor counts Bookmarked by Others Scraped Posting Active Score Famous Score Friendly Score Kyoeng-Won Na Geun-Hye Park Geun-Hye Park Geun-Hye Park Geun-Hye Park Geun-Hye Park Geun-Hye Park Geun-Hye Park Hoi-Chang Lee Jung-Wook Hong Guk-Hyun Moon Kyoeng-Won Na Kyoeng-Won Na Guk-Hyun Moon Hoi-Chang Lee Kyung-Won Na Guk-Hyun Moon Jung-Wook Hong Dong-Yong Chung Dong-Young Jung Dong-Young Jung Kyeong-Tae Jo Dong-Young Jung Dong-Young Jung Hoi-Chang Lee Soo-hee Jin Guk-Hyun Moon Kyoeng-Won Na Dong-Yong Chung Guk-Hyun Moon Kyoeng-Won Na Dong-Yong Chung Hee-Ryong Won Woon-Tae Kang Gi-Gab Kang Kook-Hyn Moon Jung-Wook Hong Hoi-Chang Lee Kyoeng-Won Na Hong-jun An Kyung-Tae Cho Hee-Ryong Won Gi-Gab Kang Woon-Tae Kang Hee-Ryong Won Eul-Dong Kim Jin-ha Hwang Hee-Ryong Won Mong-Jun Chung Sook-Mi Son Kyung-Tae Cho Mong-Jun Chung Sun-Kyo Han Jae-chul Sim Eul-Dong Kim Jae-chul Sim Mong-Jun Chung Hee-Ryong Won Eul-Dong Kim Mong-Jun Chung Woon-tae Kang Mong-Jun Chung Sun-Kyo Han Jeong-Wook Hong Eul-Dong Kim Sun-Kyo Han Gi-Gab Kang Sun-Kyo Han Jun-pyo Hong Jun-pyo Hong
  • 54. WCU WEBOMETRICS INSTITUTE INVESTIGATING INTERNET-BASED POLITICS WITH E-RESEARCH TOOLS Case 2. Cyworld Mini-hompies of Korean Legislators Cyworld Mini-hompies of Korean legislators However, buddy data is not publicly available!! The network structure using co-link data shows a clear butterfly pattern. T here is one hub (ghism) that belongs to Park Gy un-Hye (Park GH, www.cyworld.com/ghism), the daughter of ex-president Park Jeong-Hee and one of two major GNP candidates (along with president-elect Lee MB) in the 2007 presidential race.
  • 55. IP address Cyworld-IP screen capture Seong-Min Yoo’s mini-hompy
  • 56. Cyworld Extractor – Data One example of possible uses for the collected data is to determine the region of posters commenting from Korea
  • 57. Cyworld Extractor - Data The country of origin of those users commenting from outside Korea is also possible
  • 58. Table 1. Summary of comments posted on ten political profile pages between April 2008 and June 2009 . One politician was selected at random from the eighty-one successfully scraped political profiles and the male and female comments posted were taken as the dataset. Politician Male Female Unknown Total 나경원 ( Kyeong-Won Na) 10547 6611 2288 19446 박근혜 ( Geun-Hye Park) 10086 7199 1651 18936 이회창 ( Hoi-Chang Lee) 8970 6284 2380 17634 조경태 ( Kyeong-Tae Cho) 2889 2412 11101 16402 정동영 ( Dong-Yong Chung) 4872 4430 981 10283 문국현 ( Kook-Hyn Moon) 3104 4229 711 8044 강기갑 ( Gi-Gap Kang) 1405 1065 3997 6467 손숙미 ( Sook-Mi Son) 1634 771 586 2991 정몽준 ( Mong-Jun Chung) 1146 409 842 2397 홍정욱 ( Jeong-Wook Hong) 913 753 126 1792
  • 59.
  • 60. South Koreans fearing 'mad cow disease' fight US beef imports in May and June 2008
  • 61.
  • 62.
  • 63. Why do they have so many comments? <Comments on Kyeong-Won Na’s mini-hompy> <Comments on Kyeong-Tae Jo’s mini-hompy> Date Total Irrelevant Related in issue on American beef Positive Negative June, 2008 9935 2309 23.24% 378 3.80% 7248 72.95% Date Total Irrelevant Related in Issue on American beef Positive Negative 7th May, 08 7,545 23 0.30% 7,514 99.59% 8 0.11% 8 th May, 08 2,744 6 0.22% 2,734 99.64% 4 0.15% 9 th May, 08 826 2 0.24% 818 99.03% 6 0.73% Total 11,115 31 0.28% 11,066 99.56% 18 0.16%
  • 64.
  • 65.  
  • 66.
  • 67. Sentimental Analysis of Korean Politicians ’ Cyworld mini-hompy
  • 68. Sentimental Analysis of Korean Politicians ’ Cyworld mini-hompy
  • 69. Sentimental Analysis of Korean Politicians ’ Cyworld mini-hompy n = 650 n = 756
  • 70.
  • 71. *Occurred at least 4 times among the Top 10 Words per each politician positive negative center male female
  • 72. Twitter Extractor - Overview Sharing a similar interface and extraction mechanism with the Cyworld extractor, this application requires the URL of a user on Twitter. It is then possible to collect all tweets and determine the attributes of the user’s follower / following network
  • 73. Twitter Extractor - Data A simple use for this data would be to visualize a user’s network and ascertain which users are reciprocal in their friendships
  • 74. * A type of tweets - A case Study on twitter of 18th National Assembly Members * Audiences of tweets * Topic of tweets
  • 75. Thank you for listening! WCU WEBOMETRICS INSTITUTE Acknowledgments. WCU Webometrics Institute acknowledges that this research is supported from the WCU project investigating internet-based politics using e-research tools granted from South Korean Government

Editor's Notes

  1. http://www.democracykorea.org/blog/2008/07/04/peace-continues/
  2. http://henryjenkins.org/2008/05/interview_with_axel_bruns.html
  3. 정당이름 ?
  4. Note : Data were dichotomized for the calculation of clustering coefficient and geodesic distance values, and degree centralities were normalized for comparison across networks.
  5. Correlations between indicators?