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Korea japan twitter (14 jan2011)updating


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Korea japan twitter (14 jan2011)updating

  1. 1. 소셜 미디어 이용과 국가간 문화 차이<br />Prof. Han Woo Park<br /><br /><ul><li>서울대</li></li></ul><li>2<br />Status message 문화간 차이<br />Cross-cultural comparison of user attitudes towards the Internet<br />Hall’s high versus low context culture (1976)<br />Hofstede’s Cultural Dimensions (2001)<br />Media credibility<br />Gatekeeping and Gatewatching(Bruns, 2005; Kim and Park, 2007)<br />
  2. 2. B. Hogan, A theory of Lowest common denominator culture <br />People tend to censor their posts by the lowest common denominator of all their friends on a specific account, rather than consider their accounts “public” or “private”.<br />But as friend lists increase, two things happen<br />- Content gets watered down.<br />- More conventional/hegemonic people feel more confortable on the site<br />3<br />
  3. 3. Networks may not be obvious to users, but show obvious stories about overlapping groups<br />They illustrate the tension between content that is right in a ‘situation’ but not so easy to show online<br />Without clear situational boundaries on social network sites people will cater to the lowest common denominator, or suffer the consequences<br />4<br />B. Hogan, A theory of Lowest common denominator culture <br />
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  5. 5. Cross-Cultural Analysis of Beehive Status Messages within IBM<br />Previous familiarity with the characteristics of other SNSs may be influencing how users behave on Beehive<br />Users in high power distance may use the status messages more for indicating general career interests and skills, rather than time-based updates of what one is doing or how one is feeling<br />
  6. 6. 한일 트위터 비교<br />
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  9. 9. Message category frequency<br />
  10. 10. SeungEun Cho: SNS relationships<br />*** p < .001<br />
  11. 11. Self-disclosure<br />*** p < .001<br />
  12. 12. Common basic information on online profiles (%)<br />*p <.05 **p <.01 ***p <.001<br />
  13. 13. Self-oriented profile photo <br />
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  16. 16. Tools<br />For tools and other webometric network analyses (e.g., web mention analysis), please visit the software section of<br />
  17. 17. Thank you!Q & A<br />Prof. Han Woo PARK<br />World Class University Webometrics Institute<br />CyberEmotions Research Center<br />Department of Media and Communincation,<br />YeungNam University, Korea<br /> <br /><br />WCU<br />WEBOMETRICS<br />INSTITUTE<br />INVESTIGATING INTERNET-BASED POLITIC WITH E-RESEARCH TOOLS<br />WWI<br />