WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />Online I...
Research Question<br />Do facial images displayed on official homepages of politicians differ based on politicians’ <br />...
Motivation<br />Web as an interactive political arena with visually rich and enhanceablecontent(Angus et.al., 2011)‏<br />...
Data<br />Primary data were collected from official homepages of 18th National Assembly members(elected in 2008) in South ...
Methodology<br />    Variables:<br /><ul><li>Gender,
Age,
Party Affiliation,
Hometown,
Experience,
Constituency,
Web visibility
Website size</li></ul>Categories(Coleman & Wasike, 2007; Verser & Wicks, 2000):<br /><ul><li>Smiling
Frowning
No expression
Given that this is an exploratory research, one coder was employed</li></ul>:<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br ...
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Iccc2009 Facial Images Vietnam(15 Dec2009)No2

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Iccc2009 Facial Images Vietnam(15 Dec2009)No2

  1. 1. WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />Online Image Content Analysis of Political Figures: Facial Expressions of National Assembly Members in South Korea<br />BulentOzel*, Han Woo PARK**<br />*Istanbul Bilgi University, Turkey, <br />** YeungNam University, Korea<br />E-mail: hanpark@ynu.ac.kr<br />A full paper for poster-presentation to the ICCC2009 (International Conference on Convergence Content) <br />held on December 17~19, 2009, in Hanoi University of Culture, Vietnam. <br />http://www.koreacontents.or.kr   http://iccc2009.itshome.co.kr<br />
  2. 2. Research Question<br />Do facial images displayed on official homepages of politicians differ based on politicians’ <br />socio-political-demographic attributes?<br />How?<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  3. 3. Motivation<br />Web as an interactive political arena with visually rich and enhanceablecontent(Angus et.al., 2011)‏<br />Demonstration of sentimentality analysis based on facial pictures of South Korean politicians.<br />Demonstration of feasibility and validity of analysis on facial expression supported by large number of images retrieved from politicians&apos; homepages.<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  4. 4. Data<br />Primary data were collected from official homepages of 18th National Assembly members(elected in 2008) in South Korea.<br />Covering 277 out of 292 members(as of 13 August 2009)‏<br /><ul><li>1879 images extracted from front pages of official homepages</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  5. 5. Methodology<br /> Variables:<br /><ul><li>Gender,
  6. 6. Age,
  7. 7. Party Affiliation,
  8. 8. Hometown,
  9. 9. Experience,
  10. 10. Constituency,
  11. 11. Web visibility
  12. 12. Website size</li></ul>Categories(Coleman & Wasike, 2007; Verser & Wicks, 2000):<br /><ul><li>Smiling
  13. 13. Frowning
  14. 14. No expression
  15. 15. Given that this is an exploratory research, one coder was employed</li></ul>:<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  16. 16. Online Image content analysis of Web 2.0 politics <br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  17. 17. Politicians’ facial expressions were categorized in one of following three groups:<br />No-expression Smiling Frowning<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  18. 18. Conclusions(1)‏<br /><ul><li>A smiling image is the most prevalent facial expression on Web pages of South Korean politicians regardless of distribution of their socio-political-demographic attributes.</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  19. 19. Conclusions(2)‏<br /><ul><li>Existence and strength of a smiling image has statistically significant positive correlation with politicians' visibility counts.</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  20. 20. Conclusions(3)‏<br /><ul><li>Opposition parties significantly exhibit more prevalent frowning faces and expressionless faces compared to ruling party.</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  21. 21. Conclusions(4)‏<br /><ul><li>More experienced politicians, contrary to their less experienced colleagues with similar ages, keep smiling!</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  22. 22. Limitations & Future Work<br /><ul><li>Use of multiple coders
  23. 23. Including all of the facial images posted to politician homepages
  24. 24. A longitudinal analysis: What facial expressions did oppositional politicians make when they were in power?
  25. 25. Conducting an international comparison
  26. 26. Analyzing the facial images retrieved from portal, search engines, social networking sites, etc.</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  27. 27. Thank you!Q & A<br />Han Woo PARK, Ph.D.<br />(Corresponding author)<br />Associate Professor<br />Department of Media and Information, YeungNam University, Korea<br />Director of WCU (World Class University) Webometrics Institute<br />hanpark@ynu.ac.kr <br />http://www.hanpark.net<br />http://english-webometrics.yu.ac.kr<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  28. 28. References<br /><ul><li>E. Angus, D. Stuart, and M. Thelwall, “Flickr’s potential as an academic image resource: an exploratory study”, Journal of Librarianship & Information Science, 2011 (in press).
  29. 29. R. Coleman and B. Wasike, ``Visual Elements in Public Journalism Newspapers in an Election: A Content Analysis of the Photographs and Graphics in Campaign 2000'', Journal of Communication, September, 54, 2004.
  30. 30. R. Verser and R.H. Wicks, ``Managing Voter Impressions: The Use of Images on Presidential Candidate Web Sites during the 2000 Campaign'', Journal of Communication, 56, pp. 178-97.</li></ul>WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
  31. 31. &lt;Acknowledgement&gt;<br />Research for this paper has been supported by theWorld Class University(WCU) program through the National Research Foundation of Korea, which is funded by the Ministry of Education, Science and Technology (No. 515-82-06574, http://english-webometrics.yu.ac.kr). This paper is part of the Investigating Internet-based Politics using e-Research Tools Project. The authors wish to thank Byung-Gyu Park, Yon-Soo Lim, Chien-Leng Hsu, and Maurice Vergeer for their suggestion and assistance<br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />
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