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KAIST/SOTON – Group #1Cultural Differences within Social Network Websites:    To what extent can studying Korean and UK-ba...
Outcomes of The Week• Two Harvesters collecting Trending Twitter Data   – Seoul   – London• Wikipedia page view harvester ...
Visualisations – Trends London 350 300 250 200 150 100  50   05/3/2012 8:24   5/3/2012 9:36   5/3/2012 10:48    5/3/2012 1...
10                        20                             30                                  40                           ...
Top 10 London vs. Seoul• #2PeopleThatBelongTogether   •   1. 당선자 사퇴 Elected Minister Resigns                              ...
Visualisations – Wikipedia                                             English Wikipedia Page Views1000000 900000 800000 7...
Web Observatory – Web Access• Access Via: http://54.247.160.120/index.php                                                7
Stewarding Knowledge                       8
Towards a framework…                  Bottom-up approach:                  Indicator - is trending tweets                 ...
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2012 KAIST-Southampton Workshop Group1

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2012 KAIST-Southampton Workshop Group1

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2012 KAIST-Southampton Workshop Group1

  1. 1. KAIST/SOTON – Group #1Cultural Differences within Social Network Websites: To what extent can studying Korean and UK-based users in Twitter and Wikipedia help us to understand cultural differences?1st May 2012
  2. 2. Outcomes of The Week• Two Harvesters collecting Trending Twitter Data – Seoul – London• Wikipedia page view harvester and compare tool: – English – Korean – China• Web Observatory Storing Live Data – Data available via Web! 2
  3. 3. Visualisations – Trends London 350 300 250 200 150 100 50 05/3/2012 8:24 5/3/2012 9:36 5/3/2012 10:48 5/3/2012 12:00 5/3/2012 13:12 5/3/2012 14:24 MySuperPower MyThoughtsAtSchool 3
  4. 4. 10 20 30 40 50 60 70 80 90 100 0 12:26:20 12:27:30 12:28:40 12:29:50 12:31:00 12:32:10 12:33:20 12:34:30 12:35:40 12:36:50 12:38:00 12:39:10 12:40:20 12:41:30 12:42:40 12:43:50 12:45:00 12:46:10 12:47:20 12:48:30 12:49:40 12:50:50 12:52:00 12:53:10 12:54:20 12:55:30 12:56:40 12:57:50 12:59:00 13:00:10 13:01:20 13:02:30 Visualisations – Trends Seoul 13:03:40 13:04:50 13:06:00 13:07:10 13:08:20 13:09:30 13:10:40 Seoul - Liberal Party Congressman Election Twitter Trend 13:11:50 13:13:00 13:14:10 13:15:20 13:16:30 13:17:40 13:18:50 13:20:00 13:21:104
  5. 5. Top 10 London vs. Seoul• #2PeopleThatBelongTogether • 1. 당선자 사퇴 Elected Minister Resigns (Because of cheating) (2. 통진당 부정선거)• #EverydayIThinkAbout = {“당선자”, “사퇴”, “윤금순”, “비례”, “전원 사태”, “통진”, “부정”, “선거”, “통진당”,• #vote2012 “통합진보”}• Joe Anderson • 3. 정우택 전당대회 (4. 전당대회 출마)• May the Fourth • 5. 국회 민주통합당 • 6. 광우병 중앙• Ian Greenwood • 7. 사측 관리• Labour • 8. 차명계좌 검찰• Lib Dems • 9. 어린이날 행사• NOC • 10. 당권파 부정 5
  6. 6. Visualisations – Wikipedia English Wikipedia Page Views1000000 900000 800000 700000 600000 500000 400000 300000 200000 100000 0 4/30/2012 19:12 5/1/2012 2:24 5/1/2012 9:36 5/1/2012 16:48 5/2/2012 0:00 5/2/2012 7:12 5/2/2012 14:24 5/2/2012 21:36 6000 Korean Wikipedia Page Views 5000 4000 3000 2000 1000 0 4/30/2012 19:12 5/1/2012 2:24 5/1/2012 9:36 5/1/2012 16:48 5/2/2012 0:00 5/2/2012 7:12 5/2/2012 14:24 5/2/2012 21:36
  7. 7. Web Observatory – Web Access• Access Via: http://54.247.160.120/index.php 7
  8. 8. Stewarding Knowledge 8
  9. 9. Towards a framework… Bottom-up approach: Indicator - is trending tweets Mode - comes from the data, dictated by the trends. Criteria - such as collectivism vs. individualism, self- construal, individual values Framework - established sociological understandings of cultural identity (Hall, 1981). 9

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