Emergent Networks of Topical Discourse: A Comparative Framing and Social Network Analysis of the Coffee Party and Tea Party Patriots Groups on Facebook
Christopher M. Mascaro (),
Alison N. Novak () and
Sean P. Goggins ()
Additional contact information
Christopher M. Mascaro: Drexel University, College of Information Science and Technology
Alison N. Novak: Drexel University, College of Arts and Sciences
Sean P. Goggins: Drexel University, College of Information Science and Technology
Chapter Chapter 10 in Web 2.0 Technologies and Democratic Governance, 2012, pp 153-168 from Springer
Abstract:
Abstract In this chapter, we examine and compare the activity in the two politically focused Facebook groups, “Join the Coffee Party Movement” and “Tea Party Patriots,” from the time period immediately preceding the 2010 mid-term elections through the week following the seating of the newly elected Congress (October 25, 2010–January 12, 2011). We incorporate social network analysis of electronic trace data coupled with a framing analysis of the topics posted by the group administrators (parent posts) to provide an understanding of the agenda setting practices of administrators and subsequent discourse from the participants that occur in these two groups. Through this analysis we identify three interesting findings. First, there are shared topics of discourse that are framed differently in the two groups.
Keywords: Social Network Analysis; Parent Post; Betweenness Centrality; Agenda Setting; Online Group (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-1-4614-1448-3_10
Ordering information: This item can be ordered from
http://www.springer.com/9781461414483
DOI: 10.1007/978-1-4614-1448-3_10
Access Statistics for this chapter
More chapters in Public Administration and Information Technology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().