Discussion of eParticipation topics in Greek political blogs Kostas Zafiropoulos,  Dimitrios Vagianos  &Vasiliki Vrana Uni...
Democrats vs Republicans
Focal point blogs <ul><li>Only few blogs have a very big number of incoming links while the rest, the majority of blogs, h...
General idea <ul><li>Explore patterns of self-organization taking into consideration community characteristics:  </li></ul...
Aims <ul><li>Describe Greek blogosphere  </li></ul><ul><li>With regards to the community characteristics  </li></ul><ul><l...
The case study <ul><li>Technorati.com to locate Greek political blogs </li></ul><ul><li>Tags to ND ,  PASOK ,  KKE   (Left...
Method for locating focal point clusters <ul><li>Data reduction   using Multidimensional Scaling of the network adjacency ...
Cluster characteristics <ul><li>39 blogs are located in 4 central clusters, </li></ul><ul><li>62 blogs are not central (cl...
Blogs network-  ( % blogs  –  incoming links average ) Cluster 1, 61.4% - 2.8 Cluster 2, 17.8% - 6. 2 KKE, SYRIZA   (Left)...
Clusters’ interconnections-   Percentages of incoming links with respect to the maximum number of incoming links between c...
A graphical representation of interlinkage
Step 2 <ul><li>Content analysis is used for the investigation of the eParticipation topics discussed in the central cluste...
Content analysis  units of analysis and data  (NVIVO 8) <ul><li>The main title of the blog along with a summarized descrip...
eParticipation Topics <ul><li>1 Campaigning  </li></ul><ul><li>2 Community building / Collaborative Environments </li></ul...
Findings <ul><li>average number of topics covered per cluster is:  </li></ul><ul><li>Cluster 2: 56%, cluster 3: 58.3%, clu...
Associations between clusters’   content and interlinkage
Conclusions <ul><li>The paper proposed a twofold methodology,  </li></ul><ul><li>first to locate central focal point blogs...
<ul><li>Thank you </li></ul><ul><li>Kostas Zafiropoulos </li></ul><ul><li>[email_address] </li></ul>
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Kostas Zafiropoulos - Discussion of eParticipation topics in Greek political blogs

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Kostas Zafiropoulos - Discussion of eParticipation topics in Greek political blogs

  1. 1. Discussion of eParticipation topics in Greek political blogs Kostas Zafiropoulos, Dimitrios Vagianos &Vasiliki Vrana University of Macedonia and Technological Education Institute of Serres, GREECE
  2. 2. Democrats vs Republicans
  3. 3. Focal point blogs <ul><li>Only few blogs have a very big number of incoming links while the rest, the majority of blogs, have only a small number of incoming links </li></ul><ul><li>Drezner and Farrell (2004): </li></ul><ul><li>Blogs with large numbers of incoming links offer both a means of filtering interesting blog posts from less interesting ones, and a focal point at which bloggers with interesting posts, and potential readers of these posts can coordinate. </li></ul>
  4. 4. General idea <ul><li>Explore patterns of self-organization taking into consideration community characteristics: </li></ul><ul><li>connectivity and discussion </li></ul><ul><li>Connections through Blogrolls </li></ul>
  5. 5. Aims <ul><li>Describe Greek blogosphere </li></ul><ul><li>With regards to the community characteristics </li></ul><ul><li>Explore discussion of eParticipation topics within this framework </li></ul><ul><li>Search for similarities between blogs’ interlinkages and topics discussion </li></ul>
  6. 6. The case study <ul><li>Technorati.com to locate Greek political blogs </li></ul><ul><li>Tags to ND , PASOK , KKE (Left) , SYRIZA (Left) , LAOS (Right) </li></ul><ul><li>May 2009 </li></ul><ul><li>Blogs with some Authority ( Technorati authority is the number of blogs linking to a website in the last six months ) </li></ul><ul><li>Recorded 101 blogs, and the incoming links from Blogrolls </li></ul>
  7. 7. Method for locating focal point clusters <ul><li>Data reduction using Multidimensional Scaling of the network adjacency matrix 0/1 ( stress = .0 7 ), based on Blogrolls </li></ul><ul><li>Hierarchical Cluster Analysis </li></ul><ul><li>5 clusters </li></ul>
  8. 8. Cluster characteristics <ul><li>39 blogs are located in 4 central clusters, </li></ul><ul><li>62 blogs are not central (cluster 1) </li></ul>
  9. 9. Blogs network- ( % blogs – incoming links average ) Cluster 1, 61.4% - 2.8 Cluster 2, 17.8% - 6. 2 KKE, SYRIZA (Left) Cluster 3 , 7.9% - 9.3 PASOK Cluster 5 , 4% - 10.7 Left, digital liberties, information provision, discussion and argumentation Cluster 4 , 8.9% - 9.5 Left with broader speculation about society and democracy
  10. 10. Clusters’ interconnections- Percentages of incoming links with respect to the maximum number of incoming links between clusters Cluster 2 Cluster 3 Cluster 4 Cluster 5 Cluster 2 4 % 11 % 11 % Cluster 3 2 % 18 % 16 % Cluster 4 12 % 13 % 25 % Cluster 5 1 % 13 % 22 %
  11. 11. A graphical representation of interlinkage
  12. 12. Step 2 <ul><li>Content analysis is used for the investigation of the eParticipation topics discussed in the central clusters’ blogs using the NVIVO 8 </li></ul><ul><li>The data content is chosen to be the written content included in the 39 blogs in the central clusters </li></ul>
  13. 13. Content analysis units of analysis and data (NVIVO 8) <ul><li>The main title of the blog along with a summarized description </li></ul><ul><li>The “about” part of each blog (when applicable) is where the scope of the blog is given, the motivation of the blogger to create it etc. </li></ul><ul><li>The main part of this analysis, the posts of the political blogs, including the title of each post, its main body followed by its’ comments. </li></ul><ul><li>In frequently updated blogs this period of time can be a month whereas in less frequently updated blogs we may have to examine posts from 6 months or more. </li></ul><ul><li>For this study, the units of the media content were decided to be words or phrases. Synonyms or small phrases were grouped together for the purpose of this investigation. This analysis looked for specific areas of interest over which discussions are occurring among the several blogs through their posts/comments in all 39 blogs of the 4 identified clusters. </li></ul>
  14. 14. eParticipation Topics <ul><li>1 Campaigning </li></ul><ul><li>2 Community building / Collaborative Environments </li></ul><ul><li>3 Consultation </li></ul><ul><li>4 Deliberation </li></ul><ul><li>5 Discourse </li></ul><ul><li>6 Electioneering </li></ul><ul><li>7 Information Provision </li></ul><ul><li>8 Mediation </li></ul><ul><li>9 Polling </li></ul><ul><li>10 Concern creation </li></ul><ul><li>11 Media and book reference </li></ul><ul><li>12 Environmental issues </li></ul>
  15. 15. Findings <ul><li>average number of topics covered per cluster is: </li></ul><ul><li>Cluster 2: 56%, cluster 3: 58.3%, cluster 4: 57.4%, cluster 5: 62.5% </li></ul><ul><li>Information provision most popular topic </li></ul><ul><li>characterises 37/39 blogs of the 4 clusters </li></ul><ul><li>followed by Campaigning, Electioneering and Concern Creation </li></ul><ul><li>relevance percentages: </li></ul><ul><li>Cluster 2 high percentages in Community building, Deliberation, Discourse, Concern creation, and it presents no activity regarding Consultation. </li></ul><ul><li>Cluster 3 high percentages in Campaigning, in Community Building, and no activity in Mediation. </li></ul><ul><li>Cluster4 high percentages in Deliberation, and in Discourse. </li></ul><ul><li>Cluster 5 high percentages in Polling, and in Concern creation, while it presents small percentages in Campaigning, Community Building, and Discourse. </li></ul><ul><li>Overall, topics that have high relevance percentages are Information Provision, and to a small percentage Media and book issues. On the other hand, Electioneering, Polling, and Environmental issues are placed at the last seats of the topics list. </li></ul>
  16. 16. Associations between clusters’ content and interlinkage
  17. 17. Conclusions <ul><li>The paper proposed a twofold methodology, </li></ul><ul><li>first to locate central focal point blogs, </li></ul><ul><li>second to explore the association of these central focal points hyperlinks interconnections with their content similarity. </li></ul><ul><li>Greek political blogs are organized around central blog groups, producing cores /not forming a heavily polarized system. </li></ul><ul><li>Discussion of eParticipation issues covers a broad range. </li></ul><ul><li>There is strong evidence that central blog groups present similarities in terms of their linkage and eParticipation topics and areas of discussion. </li></ul>
  18. 18. <ul><li>Thank you </li></ul><ul><li>Kostas Zafiropoulos </li></ul><ul><li>[email_address] </li></ul>

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