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Webometrics Analaysis of Local Media  in South Korea : Focused on University students Presented by Jiyoung Park & Kim Se Jung Park Ph.D. Student, Georgia State University, USA Han Woo Park Director, Cyber Emotions Research Center Associate Professor, Yeungnam University, South Korea Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Cyber Emotions Research Institute  WCU Webometrics Institute
Introduction ,[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Daegu
Research objectives ,[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Literature Review ,[object Object],[object Object],[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Research Questions ,[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Method ,[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Online survey ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
A list of media companies ,[object Object],[object Object],[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Social Network Anlaysis ,[object Object],[object Object],[object Object],[object Object],[object Object],A B C Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Hiden network
Results 1. online survey  2. Webometric Network Analysis Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Results  : newspaper 1. ,[object Object],- Preferences for websites of newspapers  Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Daegu  Daegu  Daily Maeil Yeongnam  Daily Weekly Life  Palgong  8.9% 3.8% 54.8% 30.6% 0.0% 1.9% Daegu  Daegu  Daily Maeil Yeongnam  Daily Weekly Life  Palgong  10.8% 3.6% 49.6% 27.3% 5.8% 2.9%
[object Object],N=852, **p<.01 Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Results  : newspaper 2. Offline preference Online preference .721 **
[object Object],- Results of ANOVA **p<.01 N=157 Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Results  : newspaper 3. Daegu  Daegu  Daily Maeil Yeongnam  Daily Weekly Life  Palgong  5.9 (N=127) 5.8 (N=129) 6.7 (N=127) 6.7 (N=128) 6.0 (N=129) 5.3 (N=127) Sum of Squares df Mean Square F Sig. Between Groups 185.709 5 37.142 10.633 ** .000 Within Groups 2658.205 761 3.493 Total 2843.914 766
[object Object],[object Object],[object Object],N=150 Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Results  : broadcasting station 1. MBC KBS  TBC CBS  BBS PBC TBN 56.0% 11.3% 24.7% 2.7% 0.7% 0.7% 4.0% MBC KBS  TBC CBS  BBS PBC TBN 55.9% 13.6% 20.3% 5.9% 1.7% 0.8% 1.7%
[object Object],[object Object],[object Object],Results  : broadcasting station 2. Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Offline preference Online preference .754 **
[object Object],Results  : broadcasting station 3. - Results of ANOVA **p<.01 Presented at 2011 SICSS, Shanghai, 18 Aug 2011 MBC TBC KBS TBN CBS BBS PBC 7.2 (N=114) 6.9 (N=114) 6.9 (N=114) 6.3 (N=115) 6.1 (N=112) 5.5 (N=114) 5.4 (N=113) Sum of Squares df Mean Square F Sig. Between Groups 354.218 6 59.036 17.321 ** .000 Within Groups 2699.399 792 3.408 Total 3053.617 798
Results  : cable television 1. ,[object Object],[object Object],- Preferences for websites of cable televisions N=109 Presented at 2011 SICSS, Shanghai, 18 Aug 2011 CMB GCS Qrix SCS SDTV TCN1 TCN2 HCN 15.8% 20.9% 4.3% 5.0% 15.1% 14.4% 14.4% 10.1% CMB GCS Qrix SCS SDTV TCN1 TCN2 HCN 23.9% 11.9% 6.4% 10.1% 17.4% 11.9% 10.1% 8.3%
[object Object],Results  : cable television 2. N=912, **p<.01 - Spearman correlation analysis N=8, **p<.01 Offline and online channels are positively correlated Presented at 2011 SICSS, Shanghai, 18 Aug 2011 offline preference online preference .579 ** offline preference online preference .905 **
Results  :  cable television 3. ,[object Object],- Results of ANOVA Presented at 2011 SICSS, Shanghai, 18 Aug 2011 CMB GCS Qrix SCS SDTV TCN1 TCN2 HCN 6.2 (N=104) 6.3 (N=104) 6.2 (N=102) 6.2 (N=103) 6.5 (N=102) 6.3 (N=103) 6.4 (N=103) 5.9 (N=100) Sum of Squares df Mean Square F Sig. Between Groups 25.310 7 3.616 1.226 .285 Within Groups 2397.374 813 2.949 Total 2422.685 820
summary:  Online Survey Result  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Results : webometric network analysis ,[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
Webometric Network analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion & Discussion ,[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Presented at 2011 SICSS, Shanghai, 18 Aug 2011

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Webometrics analysis localmedia

  • 1. Webometrics Analaysis of Local Media in South Korea : Focused on University students Presented by Jiyoung Park & Kim Se Jung Park Ph.D. Student, Georgia State University, USA Han Woo Park Director, Cyber Emotions Research Center Associate Professor, Yeungnam University, South Korea Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Cyber Emotions Research Institute WCU Webometrics Institute
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  • 11. Results 1. online survey 2. Webometric Network Analysis Presented at 2011 SICSS, Shanghai, 18 Aug 2011
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Notas do Editor

  1. Good morning Everyone. Thank you for having me here today My name is Jiyoung Park, Graduate student from Yeungnam University in Korea. This research has been done in my lab which call cyber emotions research center, but the first author isn’t available to present here Thus, we are going to represent today. Please understand. Now, Let me start! This topic is “webometrics analaysis of local media in south korea, focused on university students”
  2. we live in the smart society, In the smart society, media environment has been changed and media companies have utilized the Internet as an alternative channel. So , we would have some questions. How do local media being perceived among residents and do people satisfy their services? This research focused on this question.
  3. First, I will explain briefly that why choose this area, Daegu and Gyeongbuk As we can see South Korea Geographic here, taegu population is 2.5millionare, comparing the 10millionare population of Seoul Frankly. My university located in this area and we want to know the news corporation and how people think about them. You knows, South Korea`s capital seoul. Recreaton, entertainment facilities and infrastructures are concentrated in this area.
  4. Research objectives There are two research objectives, First, Identifying audience preference and satisfaction of regional media companies in Daegu and Gyeongbuk area. Second, Measuring indirect perception of users using social network analysis by discovering the hidden network So, finally, we expect to provide a comprehensive description of circumstances and online presences of local media in South Korea from audience-oriented approach.
  5. In previous related research, Han focus on that although regional journalism is important, there is little academic interest. Kim &amp; Kim says that Other researchers says existed studies’ topic, methods are too narrow to fully understand local media itself. And ahn says to reflect the needs of communities and strengthen the competitiveness of local media, the study from an audience approach is necessary.
  6. We have 3 research questions. First, To what extent do students prefer each media, newspapers, broadcasting, and cable television in Daegu and Gyeongbuk area? Second, Is there correlation between offline and online preference? Finally,To what extent do students satisfy the websites of the newspapers?
  7. We used online survey with couple of statistics methods and social network analysis to discover the hidden network. Using both online survey and social network analysis can mixed analysis which would overcome the limitation of using one method.
  8. In case of online survey, 174 university students in gyeongbuk are entered. Preference measured rank from most to least, and website satisfaction used 11 likert scale. Statistics analysis used Pearson correlation and one-way ANOVA
  9. Research Target companies are 6 newspapers, 7 broadcasting stations and 8 cable televisions. And results part will present another researcher in my research center, Jiyoung Kim .
  10. We use one of social network analysis method, webometrics analysis. Webometrics means from comebine two word, world wide web and metrics Particulary, used ‘co-link analysis’ that can occur between web pages. This work use of co-links to build indicators for each local media in daegu and gyeongbuk area. It analysis used to reveal hidden network structure from an aggregation level. collecting co-link data from LexiURL software.
  11. Good afternoon. I’m Jiyoung Kim, graduate student in Yeungnam Univ. in Korea. I’m going to present the results part of this research. First part of the results is from the online survey To what extent do students prefer newspapers, broadcasting companies, cable television companies in Daegu and Gyeongbuk area? Is there correlation between offline and online preference? To what extent do students satisfy the websites of the newspapers? 6 newspapers 7 broadcasting stations (3TVs/4radios) 8 cable televisions
  12. the preference of newspaper of students, Also, websites satisfaction of the newspapers Students have high preferences for Yeongnam &amp; Maeil newspapers both offline newspaper and website of newspaper,
  13. To test what extend on-offline preference correlate, I use pearson and spearman correlation analysis as statistics method. Pearson correlation proves the positive correlation between online preference and offline preference of newspapers. an the significance. 721 level and correlation between on-offline preference.
  14. From scheffe post-hoc test, 이러한 통계적 차이는 영남일보와 매일신문이 타신문사들에 비해 웹사이트 만족도에서 높은 점수를 얻은 것으로부터 비롯되었음을 확인했다 . Also, websites satisfaction of the newspapers Maeil and Yeongnam Daily newspapers have higher website satisfactions of newspapers from the ANOVA test
  15. There is the high correlation among broadcasting station and websites of broadcasting stations of MBC KBS and TBC Preferences for Broadcasting station and websites of broadcating stations shows here The reason that MBC KBS TBS is high percent is effected by the major company. MBC, KBS, (Major company 의 인지도 덕분에 대구 mbc, 대구 kbs 선호도가 높게 나타난 걸로 추측 ) TBC 두 부분에서 모두 두드러지게 높음
  16. Offline and online channels are positively correlated
  17. Website satisfactions of broadcasting stations shows that MBC TBC KBS are high At the ANOVA F value is 17. 321 and it is significant at . 000
  18. Preferences for cable televisions shows here . CMB GCS have high on cable TV , and CMB SDTV show high on websites .
  19. Cable Television’s online and offline preference are statistically significant according to the Pearson and Spearman correlation
  20. Website satisfactions of cable TV are mostly similar also we can not find any statistic significance.
  21. Offline and online channels are positively correlated
  22. 6 newspapers 7 broadcasting stations (3TVs/4radios) 8 cable televisions Red color present newspaper, yellow is terrestrial(ground wave) TV and radio broadcasting and blue is cable TV 3 clusters: 1) High preference public broadcasting TV/ news group 2) Cable TV group 3) isolated groups: mostly groups that rank low channel preference and Taegu MBC which according to the worker of Taegu MBC management is not good 채널선호도에서 낮은 지지도를 받은 특수 방송사와 대구 MBC ( 관계자의 말에 따르면 웹사이트 관리 잘 안함 ..)
  23. This study is good to understand audience perceptions of local media through mixed methods ( survey and SNA) Second, it can provide practical implications how local medium utilizes online resource efficiently and give some thoughts policy makers to develop the website as alternative news channel Lastly we can visualize hidden structural relationships among specific media platforms using webometrics analysis
  24. That’s all we prepare and Thank you for listening And if you have questions email to corresponding author Han woo park . Thank you.