Studying Social Science Using E Tools
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Studying Social Science Using E Tools

on

  • 1,293 views

presentation file for KyungSung University

presentation file for KyungSung University

Statistics

Views

Total Views
1,293
Views on SlideShare
1,288
Embed Views
5

Actions

Likes
0
Downloads
7
Comments
0

1 Embed 5

http://www.slideshare.net 5

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Studying Social Science Using E Tools Presentation Transcript

  • 1. Studying Social Science using e-Tools: Cases of South Korea & Taiwan
    Chien-leng Hsu
    WCU Webometrics Institute
    YeungNam University
  • 2. About this presentation
    E-research
    Development in Social Science
    Research examples
    WCU Webometrics Institute
    Case 1: Network of politicians in Taiwan
    Case 2: Network of MPs in South Korea
  • 3. What is E-Research?
    A minor but growing approach
    The use of new digital tools
    E-research in Social Science
    development of online tools to automate the research process
    Experimentation with new types of data visualisation
  • 4.
    • Automation of the research process
    • 5. Communicion
    • 6. Research mnagement
    • 7. Data collection & analysis
    • 8. Publication software
    • 9. Data visualisation
    • 10. Social network analysis
    • 11. Hyperlink analysis
    • 12. Multimedia & dynamic representation
  • Development in Social science (1/2)
    Gary King (Harvard University, Miller Converse Lecture Series talk, 2009)
    The next 50 years: spectacular increase in new data source
    Improved, expanded & applied
    In depth studies of individual places, people, events
    Aggregate government statistics
    Survey research
    Data everywhere – the growing Internet
    The replication movement – academic data sharing
    Advances in statistical methods, informatics & software
  • 13. Development in Social science (2/2)
    Examples
    Opinions of activists
    Sample of a few thousand interviews
    ↪millions of political opinions every day in blogosphere
    Social contacts
    Asking respondents to recall names over past years
    ↪ emails, SMSs, social media connections, etc
    Progress in the new data-rich world
    Large-scale, interdisciplinary research
    Computer-assisted & quantitative
    New statistical methods & engineering required
  • 14. New Types of data (examples)
    Unstructured text: emails, web pages
    Geographic location: mobiles
    Social media: facebook, twitter, virtual worlds
    Web surfing artifacts: clicks, searches
    Government data: electronic data
    Scholarly data
  • 15. Research Areas (examples)
    Semantic context
    Modern text mining approaches to ancient texts
    E-linguistics
    Data management/digital archive
    Visualisation of dialectology
    Digital arts & humanities
  • 16. WCU Webometrics institute
    Project
    Investigating Internet-based Politics with E-Research Tools
    Objects
    To identify, track & analyse the effectiveness of networked political campaigns across a range of web platforms in Korea
    To develop software tool
    Major areas
    Semantic Networks on Political Webosphere
    Cyworld
    Twitter
    Korean Internet Network Miner (tool)
    Website
    http://english-webometrics.yu.ac.kr/
  • 17. Network of Politicians in Taiwan
    Case 1
  • 18. Brief background information
    Progressive groups use more alternative media
    Political struggle between two political camps
    Conservative: pro-unification with China (Leader: KMT)
    Progressive: pro-independence (Leader: DPP)
    Approx 80% of mainstream media is biasd toward the conservatives
    Research targets:
    Politicians
    Plurk
    Microblogging sites:
    a mini form of traditional blogs. Microblogging allows users to send brief messages
  • 19. What is Plurk
    A popular microblogging site in Taiwan
    No. of Taiwanese user - 249,441 (July 2009)
    25K
    10K
    10K
    5K
    03/09
  • 20. Results & Findings
    • Progressive politicians use more Plurk
    • 21. Progressives: 37 politicians
    • 22. Conservative: 7 politicians
    Question:
    DOES AGE MATTER?
  • 23. Age:Progressives vs Conservatives
    Progressive Politicians
    Conservatives Politicians
  • 24. Exception: Hsieh & Su
    Su
    Hsieh
    Profile views
    Number of friends
    Number of fans
  • 25. Discussions
    Hsieh & Su: Candidates for the presidential election 2008
    Progressive politicians use Plurk
    Express their opinion
    Cultivate new constituencies
    Link to opinion leaders of Taiwanese grassroot groups
    The ‘rich get richer’ phenomenon
    Plurkers that are the target of many visitors are disproportionately likely to be targeted by any new visitors
  • 26. Case 2
    Network of MPs in South korea
  • 27. Web 1.0, Web 2.0 &Twitter
    Research purpose:
    To investigate structural changes in hyperlink networks from Web 1.0 to Web 2.0 in South Korean Politics
    Units of analysis:
    Congress members of South Korea
    Year of observations:
    Web 1.0: homepage, 2000 & 2001
    Web 2.0: blogs, 2005 & 2006
    Twitter: 2009
  • 28. Blue: GNP: Conservative: Opposition
    Red: MDP: Liberal: Ruling
    Web 1.0: Homepage 2000 vs 2001
    Star networks without any isolation
  • 29. Web 2.0: Blogs 2005 vs 2006
    2005
    2006
  • 30. Twitter
  • 31. Web 1.0, Web 2.0 &Twitter
  • 32. Web 1.0, Web 2.0 & Twitter
    Web 1.0: Hub, but sparse network
    Web 2.0: Hub disappearing, but becoming dense
    Twitter: similar to Web 2.0 structure, and denser
    More to work (example):
    To compare top 10 politicians ego-networks and investigate how they change
  • 33. Conclusions
    Previous research:
    Results from web data are informative
    The Web reflects situations in the physical world
    The validity of the results need to be supported by various qualitative studies
    Further research:
    Previous study areas are still ongoing
    Cyber emotions: online image content analysis of web 2.0 politics
  • 34. Thank you
    Acknowledgments
    WCU Webometrics Institute acknowledges that this research is supported from the WCU project - investigating internet-based politics using e-research tools granted from South Korean Government