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Social Media Use in Public Sector: A comparative
      study of Korean and US government agencies

          Authors: Gohar Feroz Khan, Ho Young Yoon, Han Woo Park


                             Presenter: Gohar Feroz Khan
                           School of Industrial Management
               Korea University of Technology & Education (KoreaTECH),
                         1600 Chungjol-ro Byungcheon-myun
                          Cheonan city, 330-708, South Korea
                    Gohar.feroz@gmail.com /gohar.feroz@kut.ac.kr




Prepared for: ATHS panel during the 8th International Conference on Webometrics,
Informatics and Scientometrics & 13th COLLNET Meeting, 23-26 October 2012,
Seoul,South Korea
Table of Contents

Introduction
  Web 2.0 & Social Media
  S-government
Cultural Perspective
Research Question
Method
Results
Discussion
Introduction

Social Media
  Based on Web 2.0 Concept
Helps to
  maintain social and professional
   ties
    e.g., Facebook and LinkedIn
  facilitate knowledge sharing
    e.g., Wikipedia and blogs
  create awareness
    e.g., Twitter
Social Media & Web 2.0

One way                    Web 1.0
communication
                                        All SNS
                          Web 2.0       are web
Enforce Two way
communication                           2.0, but not
                         Social Media   all web 2.0
                                        are SNS!
Enforce social context

                         SNS, blogs,
                           wikis




 (Khan, working paper)
ICT based government full picture

Paper-Based
                                  Traditional
                                  Government




Static ICTs & Web                E-Government
1.0 Based



                                                             Mobile ICTs Based
Web 2.0 & Social
Media Based
                      Government 2.0
                       S-government                 M-
                                                government




Khan, working paper
Why S-government?
                    Participative




        Greater
                    S-government    Collaborative
     Transparency




                     Low Cost/
                    Convenience
Social Government studies

Many studies in mono-cultural settings
     the U.S. (Golbeck et al., 2010; Whalen, 2012)
     Korea (Cho & Park, 2012) and
     the Netherlands (Effing et al., 2011)


 But, limited studies in cross-cultural
 settings
Cultural Dimensions

Cross-cultural use of social
 media in public sector
  Collectivist V.S Individualistic
   (Hofstede, 1984) use of social
   media
Social Media use patterns and
 strategies in East V.S West?
Korea V.S. the USA

Korea is a hierarchical, collectivistic, and
 feminine society that avoids uncertainty
 and emphasizes collectivism

the U.S. is a non-hierarchical,
 individualistic, and masculine society that
 accepts uncertainty and emphasizes
 individualism
Research Questions (RQs)
 What is the nature of social media use in the
  public sector in Western (USA) and Asian
  (Korean) cultures?

 What are the social media strategies of
  government agencies in Western (USA) and
  Asian (Korean) cultures?
Method

Data
 We obtained the data (Tweets) from Twitter
  accounts maintained by government agencies
  in Korea (40 agencies) and the U.S. (32
  agencies).
 We collected the data between February and
  August 2011
   Tweets
   Profile information (the numbers of followings,
    followers, lists, and Tweets)
Method

Analysis
  Webometrics and Social Network Analysis
  Key word analysis
  Out-link analysis


Tools
  Webometrics Analyst
  NodeXL
Results

 Follow-Following Network


                                                                                          Social media
                                                                                          are not yet a
                                                                                          preferred
                                                                                          medium of inter-
                                                                                          country
                                                                                          communications




Figure 1: Follow-following network diagram of Korean and US public sector organizations
Results

Follow-Following Network Properties
Table 1. Network Level Properties of Korean Twitter Networks

 No. of     No. of    Density   Average       Average      Average      Clustering
 Nodes      Links               Geodesic      Degree       Centrality   Coefficient
                                Distance
   40        1348      0.86        1.0           33            3.6         0.86


Table 2. Network Level Properties of US Twitter Networks

 No. of    No. of    Density    Average       Average      Average      Clustering
 Nodes     Links                Geodesic      Degree       Centrality   Coefficient
                                Distance
   32       255       0.26        1.45          7.9            12          0.50
Table 3. Correlation analysis
    Correlations                             USA             Korea
    (1) Followings-followers                -0.104           0.996**
                                                                       Korean government institutions
    (2) Followings-tweets                    0.07            0.356*    strategically pursued reciprocal
    (3) Followers-tweets                    0.524**          0.339*    relationships with their followers

    (4) Followings-listed                   -0.097           0.865**
    (5) Followers-listed                    0.956**          0.877**
    (6) Tweets-listed                        699**           0.202

    Followings-Favorites                     0.348           0.204
    Followers-Favorites                     -0.111           0.183
    Tweets-Favorites                         0.37            0.245
    Listed-Favorites                        -0.094           0.069

    Descriptive Statistics
    Reciprocity Ratio                       3.96%            80.98%
*Correlation is significant at the 0.05 level (2-tailed).
**Correlation is significant at the 0.01 level (2-tailed).
Out-links-Korea




      Figure 2. Outlink diagram (Korean)
Out-links-USA
Keywords shared by ministries (USA)
Keywords shared by ministries
(Korea)
Conclusion

Different usage patterns observed in
 Collectivist V.S Individualistic settings
Korean ministries
  Well connected
  Re-enforce collective agenda
     E.g. through re-tweeting common contents
  Avoid uncertainty
     E.g. mostly link government sources of information
  Return Favor
     E.g. if you follow me, I will follow you
Conclusion

US Ministries
  Sparsely connected
  Individualist Use
    e.g. retweeted messages that specifically fit the
     purpose of each department
  Embrace uncertainty
    e.g. Link private sources of information to inform the
     public of its activities
  Do not Return Favor
    e.g. if you follow me, I may not follow you
Conclusion

Other findings
    Interactions based on social media in the public
     sector appear to be informational in nature
       • e.g. social media is used to provide links to other sources
         of information, including news sites, blogs, and
         government websites, and to raise awareness of public
         policies.


  However, future research should investigate the
   potential use of social media beyond its
   informational use (e.g., for transactions).
Thank You (Manana)

Comments & suggestions are welcomed
References
   Cho, S. and H. Park (2012). "Government organizations’ innovative use of the Internet: The case
    of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries."
    Scientometrics 90(1): 1-15.

   Effing, R., J. van Hillegersberg, et al. (2011). Social Media and Political Participation: Are
    Facebook, Twitter and YouTube Democratizing Our Political Systems? Electronic Participation. E.
    Tambouris, A. Macintosh and H. de Bruijn, Springer Berlin / Heidelberg. 6847: 25-35.

   Golbeck, J., J. M. Grimes, et al. (2010). "Twitter use by the U.S. Congress." Journal of the
    American Society for Information Science and Technology 61(8): 1612-1621.

   Khan, G.F, working paper. Govt. 2.0 explained: implementation scenarios, model, relationships,
    and more.

   Whalen, R. (2012). Organizational Structure as a Multiplex Network: The case of the US federal
    government. International Communication Association (ICA)-2012 Communication and
    Community. Phoenix, AZ.

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Collnet seoul-2013-2

  • 1. Social Media Use in Public Sector: A comparative study of Korean and US government agencies Authors: Gohar Feroz Khan, Ho Young Yoon, Han Woo Park Presenter: Gohar Feroz Khan School of Industrial Management Korea University of Technology & Education (KoreaTECH), 1600 Chungjol-ro Byungcheon-myun Cheonan city, 330-708, South Korea Gohar.feroz@gmail.com /gohar.feroz@kut.ac.kr Prepared for: ATHS panel during the 8th International Conference on Webometrics, Informatics and Scientometrics & 13th COLLNET Meeting, 23-26 October 2012, Seoul,South Korea
  • 2. Table of Contents Introduction Web 2.0 & Social Media S-government Cultural Perspective Research Question Method Results Discussion
  • 3. Introduction Social Media Based on Web 2.0 Concept Helps to maintain social and professional ties e.g., Facebook and LinkedIn facilitate knowledge sharing e.g., Wikipedia and blogs create awareness e.g., Twitter
  • 4. Social Media & Web 2.0 One way Web 1.0 communication All SNS Web 2.0 are web Enforce Two way communication 2.0, but not Social Media all web 2.0 are SNS! Enforce social context SNS, blogs, wikis (Khan, working paper)
  • 5. ICT based government full picture Paper-Based Traditional Government Static ICTs & Web E-Government 1.0 Based Mobile ICTs Based Web 2.0 & Social Media Based Government 2.0 S-government M- government Khan, working paper
  • 6. Why S-government? Participative Greater S-government Collaborative Transparency Low Cost/ Convenience
  • 7. Social Government studies Many studies in mono-cultural settings the U.S. (Golbeck et al., 2010; Whalen, 2012) Korea (Cho & Park, 2012) and the Netherlands (Effing et al., 2011)  But, limited studies in cross-cultural settings
  • 8. Cultural Dimensions Cross-cultural use of social media in public sector Collectivist V.S Individualistic (Hofstede, 1984) use of social media Social Media use patterns and strategies in East V.S West?
  • 9. Korea V.S. the USA Korea is a hierarchical, collectivistic, and feminine society that avoids uncertainty and emphasizes collectivism the U.S. is a non-hierarchical, individualistic, and masculine society that accepts uncertainty and emphasizes individualism
  • 10. Research Questions (RQs)  What is the nature of social media use in the public sector in Western (USA) and Asian (Korean) cultures?  What are the social media strategies of government agencies in Western (USA) and Asian (Korean) cultures?
  • 11. Method Data We obtained the data (Tweets) from Twitter accounts maintained by government agencies in Korea (40 agencies) and the U.S. (32 agencies). We collected the data between February and August 2011 Tweets Profile information (the numbers of followings, followers, lists, and Tweets)
  • 12. Method Analysis Webometrics and Social Network Analysis Key word analysis Out-link analysis Tools Webometrics Analyst NodeXL
  • 13. Results Follow-Following Network Social media are not yet a preferred medium of inter- country communications Figure 1: Follow-following network diagram of Korean and US public sector organizations
  • 14. Results Follow-Following Network Properties Table 1. Network Level Properties of Korean Twitter Networks No. of No. of Density Average Average Average Clustering Nodes Links Geodesic Degree Centrality Coefficient Distance 40 1348 0.86 1.0 33 3.6 0.86 Table 2. Network Level Properties of US Twitter Networks No. of No. of Density Average Average Average Clustering Nodes Links Geodesic Degree Centrality Coefficient Distance 32 255 0.26 1.45 7.9 12 0.50
  • 15. Table 3. Correlation analysis Correlations USA Korea (1) Followings-followers -0.104 0.996** Korean government institutions (2) Followings-tweets 0.07 0.356* strategically pursued reciprocal (3) Followers-tweets 0.524** 0.339* relationships with their followers (4) Followings-listed -0.097 0.865** (5) Followers-listed 0.956** 0.877** (6) Tweets-listed 699** 0.202 Followings-Favorites 0.348 0.204 Followers-Favorites -0.111 0.183 Tweets-Favorites 0.37 0.245 Listed-Favorites -0.094 0.069 Descriptive Statistics Reciprocity Ratio 3.96% 80.98% *Correlation is significant at the 0.05 level (2-tailed). **Correlation is significant at the 0.01 level (2-tailed).
  • 16. Out-links-Korea Figure 2. Outlink diagram (Korean)
  • 18. Keywords shared by ministries (USA)
  • 19. Keywords shared by ministries (Korea)
  • 20. Conclusion Different usage patterns observed in Collectivist V.S Individualistic settings Korean ministries Well connected Re-enforce collective agenda E.g. through re-tweeting common contents Avoid uncertainty E.g. mostly link government sources of information Return Favor E.g. if you follow me, I will follow you
  • 21. Conclusion US Ministries Sparsely connected Individualist Use e.g. retweeted messages that specifically fit the purpose of each department Embrace uncertainty e.g. Link private sources of information to inform the public of its activities Do not Return Favor e.g. if you follow me, I may not follow you
  • 22. Conclusion Other findings Interactions based on social media in the public sector appear to be informational in nature • e.g. social media is used to provide links to other sources of information, including news sites, blogs, and government websites, and to raise awareness of public policies. However, future research should investigate the potential use of social media beyond its informational use (e.g., for transactions).
  • 23. Thank You (Manana) Comments & suggestions are welcomed
  • 24. References  Cho, S. and H. Park (2012). "Government organizations’ innovative use of the Internet: The case of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries." Scientometrics 90(1): 1-15.  Effing, R., J. van Hillegersberg, et al. (2011). Social Media and Political Participation: Are Facebook, Twitter and YouTube Democratizing Our Political Systems? Electronic Participation. E. Tambouris, A. Macintosh and H. de Bruijn, Springer Berlin / Heidelberg. 6847: 25-35.  Golbeck, J., J. M. Grimes, et al. (2010). "Twitter use by the U.S. Congress." Journal of the American Society for Information Science and Technology 61(8): 1612-1621.  Khan, G.F, working paper. Govt. 2.0 explained: implementation scenarios, model, relationships, and more.  Whalen, R. (2012). Organizational Structure as a Multiplex Network: The case of the US federal government. International Communication Association (ICA)-2012 Communication and Community. Phoenix, AZ.