Repository logo
Admin Login(current)
  1. Home
  2. Ψηφιακό Αποθετήριο ΚΥΨΕΛΗ / Kypseli Digital Repository
  3. Δημοσιεύσεις / Publications
  4. Relationships Among Twitter Conversation Networks, Language Use, and Congressional Voting
Details

Relationships Among Twitter Conversation Networks, Language Use, and Congressional Voting

Journal
Policy & Internet
Author(s)
Matthew A Shapiro
Hemphill, Libby
Illinois Institute of Technology, University of Chicago, University of Michigan
Otterbacher, Jahna  
Ανοικτό Πανεπιστήμιο Κύπρου / Open University of Cyprus  
Date Issued
2012-03
Faculty
Σχολή Ανθρωπιστικών και Κοινωνικών Επιστημών / Faculty of Humanities and Social Sciences  
Abstract
As Twitter becomes a more common means for officials to communicate with their constituents,
it becomes more important that we understand just how that communication relates to other
political activities. Using data from 411 members of Congress’ Twitter activity during the
summer of 2011, we examine relationships among the resulting conversation networks, language
use, and political behavior. The social networks that result from their communications have
surprisingly low density and high diameter, indicating a level of independence that is surprising
for a group so tightly connected offline. Our findings also indicate that officials frequently use
Twitter to advertise their political positions and to provide information but rarely to request
political action from their constituents or to recognize the good work of others. Our analysis
suggests strong relationships between anti-social behaviors indicated by the loosely connected
network and low incidence of pro-social conversations and polarized or extreme Congressional
voting records.
Publisher
International Communication Association Conference 2012
  • Send Feedback
  • Cookie settings
  • Open University of Cyprus
  • OUC Library
  • National Policy of the Republic of Cyprus for Open Science Practice

Find us on:

FacebookFacebook

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science Powered by Dataly