Webometrics analysis localmedia
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  • 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”
  • 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.
  • 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.
  • 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.
  • In previous related research, Han focus on that although regional journalism is important, there is little academic interest. Kim & 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.
  • 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?
  • 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.
  • 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
  • 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 .
  • 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.
  • 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
  • the preference of newspaper of students, Also, websites satisfaction of the newspapers Students have high preferences for Yeongnam & Maeil newspapers both offline newspaper and website of newspaper,
  • 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.
  • 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
  • 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
  • Offline and online channels are positively correlated
  • 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
  • Preferences for cable televisions shows here . CMB GCS have high on cable TV , and CMB SDTV show high on websites .
  • Cable Television’s online and offline preference are statistically significant according to the Pearson and Spearman correlation
  • Website satisfactions of cable TV are mostly similar also we can not find any statistic significance.
  • Offline and online channels are positively correlated
  • 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 ..)
  • 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
  • That’s all we prepare and Thank you for listening And if you have questions email to corresponding author Han woo park . Thank you.

Webometrics analysis localmedia Webometrics analysis localmedia Presentation Transcript

  • 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
    • In the smart society, media environment has changed and media companies have utilized the Internet as an alternative channel.
    • How do local media being perceived among residents and do people satisfy their services?
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Daegu
  • Research objectives
    • Identifying audience preference, satisfaction of regional media companies in Daegu and Gyeongbuk area
    • Measuring indirect perception of users using social network analysis by discovering the hidden network
    • To provide a comprehensive description of circumstances and online presences of local media in South Korea from audience-oriented approach
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Literature Review
    • -Studies on local media in South Korea
    • Han(2003) In spite of the importance of regional journalism, there is little academic interest and studies on local media, so it is difficult to figure out its social consequences.
    • Kim & Kim(1990) Existed studies examining regional journalism have focused on general remarks. The research topic, methods are too narrow to fully understand local media itself.
    • Seol(2003) Most existed studies have mainly analized major broadcasting companies instead of local media in diverse regions.
    • Ahn, et al.(2006) To reflect the needs of communities and strengthen the competitiveness of local media, the study from an audience approach is necessary,
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Research Questions
    • - To what extent do students prefer each media (newspapers, broadcastings & cable televisions) in Daegu and Gyeongbuk area?
    • - Is there correlation between offline and online preference?
    • - To what extent do students satisfy the websites of the each Media?
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Method
    • Online survey
    • Social Network Analysis
    • (Webometrics & Hyperlink Analysis)
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Online survey
    • Data collection
    • Online survery
    • (Student click the website in terms of preference and satisfaction on online)
    • - 174 University students in Daegu & Gyeongbuk area using convenience sampling
    • eg)Student participation during class
    • - Average age of respondents: 26 year old.
    • Measurement
    • - Preference:Rank from most to least
    • - Website satisfaction:11 likert scale
    • Statistics
    • - Pearson correlation
    • - One-way ANOVA
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • A list of media companies
    • 6 newspapers
    • 7 broadcasting stations (3TVs/4radios)
    • 8 cable televisions
    • Use population not Sample
    • : Covering all the local Media in Daegu & Gyungbuk area
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Social Network Anlaysis
    • Webometic Network Analysis
    • Web o metrics = World Wide Web + Metrics
    • - Co-link analysis
    • To reveal hidden network structure from an aggregation level
    • Collecting co-link data from LexiURL software
    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.
    • - Preferences for newspapers
    - 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%
    • - Pearson correlation analysis
    N=852, **p<.01 Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Results : newspaper 2. Offline preference Online preference .721 **
    • - Website satisfactions of newspapers
    - 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
    • Preferences for broadcasting station
    • Preferences for websites of broadcasting stations
    • N=118.
    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%
    • -Pearson correlation analysis
    • N=854, **p<.01
    • Offline and online channels are positively correlated
    Results : broadcasting station 2. Presented at 2011 SICSS, Shanghai, 18 Aug 2011 Offline preference Online preference .754 **
    • - Website satisfactions of broadcasting stations
    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.
    • - Preferences for cable televisions
    • N=139
    - 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%
    • - Pearson correlation analysis
    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.
    • -Website satisfactions of cable televisions
    - 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
    • -There is the positive correlation between online preference and offline preference of newspapers.
    • -Maeil and Yeongnam Daily newspapers have higher website satisfactions of newspapers from the ANOVA test
    • -There is the high correlation among preference between broadcasting station and websites of broadcasting stations of MBC KBS and TBC and these three broadcastings have significant satisfaction difference between groups.
    • -Online and offline channels are positively correlated on Cable
    • Channels but the significance of satisfaction of cable TV didn’t proved
  • Results : webometric network analysis
    • - Social Network Map of Local Media in Daegu and Gyeongbuk area
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
  • Webometric Network analysis
    • 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.
    • The majority cable TV connect each other through third website but doesn’t have relationship with other platforms.
    • Websites that have lower preference have a cluster with co-link together.
    • = It supports that co-link better show similarity of network structure than differences.
  • Conclusion & Discussion
    • This study would help comprehensive understanding audience perceptions of local media using mixed methods (online survey, SNA) for both offline and online channels.
    • It could provide practical implications to judge to what extend certain local medium utilizes online resource efficiently and give material to make a policy to develop the website of the medium as an alternative news channel.
    • It shows how to apply Webometrics analysis to examine various types of journalism. Especially, co-link analysis would visualize hidden structural relationships among specific media platforms using online data generated by users which was not possible with traditional research methods.
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011
    • Contact US
    • Cyber Emotions Research Institute
    • http://CERC.YU.AC.KR
    • WCU webometrics Institute
    • http://webometrics.yu.ac.kr
    • Thank you!
    • [email_address]
    • [email_address]
    • http://www.slideshare.net/hanpark
    Presented at 2011 SICSS, Shanghai, 18 Aug 2011