Full metadata
Title
Representation, homophily, and polarization in the U.S. House of Representatives in the Twitter era
Description
By collecting and analyzing more than two million tweets, U.S. House Representatives’ voting records in 111th and 113th Congress, and data from other resources I study several aspects of adoption and use of Twitter by Representatives. In the first chapter, I study the overall impact of Twitter use by Representatives on their political orientation and their political alignment with their constituents. The findings show that Representatives who adopted Twitter moved closer to their constituents in terms of political orientation.
By using supervised machine learning and text mining techniques, I shift the focus to synthesizing the actual content shared by Representatives on Twitter to evaluate their effects on Representatives’ political polarization in the second chapter. I found support for the effects of repeated expressions and peer influence in Representatives’ political polarization.
Last but not least, by employing a recently developed dynamic network model (separable temporal exponential-family random graph model), I study the effects of homophily on formation and dissolution of Representatives’ Twitter communications in the third chapter. The results signal the presence of demographic homophily and value homophily in Representatives’ Twitter communications networks.
These three studies altogether provide a comprehensive picture about the overall consequences and dynamics of use of online social networking platforms by Representatives.
By using supervised machine learning and text mining techniques, I shift the focus to synthesizing the actual content shared by Representatives on Twitter to evaluate their effects on Representatives’ political polarization in the second chapter. I found support for the effects of repeated expressions and peer influence in Representatives’ political polarization.
Last but not least, by employing a recently developed dynamic network model (separable temporal exponential-family random graph model), I study the effects of homophily on formation and dissolution of Representatives’ Twitter communications in the third chapter. The results signal the presence of demographic homophily and value homophily in Representatives’ Twitter communications networks.
These three studies altogether provide a comprehensive picture about the overall consequences and dynamics of use of online social networking platforms by Representatives.
Date Created
2016
Contributors
- Mosuavi, Seyedreza (Author)
- Gu, Bin (Thesis advisor)
- Vinzé, Ajay S. (Committee member)
- Shi, Zhan (Michael) (Committee member)
- Arizona State University (Publisher)
Topical Subject
- Information Technology
- Business Administration
- Political Science
- Homophily
- Political Polarization
- Social networks
- Societal Impacts of Information Systems
- US Congress
- Social media--Political aspects.
- Social Media
- Polarization (Social sciences)--Political aspects.
- Polarization (Social sciences)
Resource Type
Extent
ix, 103 pages : illustrations (some color)
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.38514
Statement of Responsibility
by Seyedreza Mosuavi
Description Source
Viewed on July 5, 2016
Level of coding
full
Note
Partial requirement for: Ph.D., Arizona State University, 2016
Note type
thesis
Includes bibliographical references (pages 90-99)
Note type
bibliography
Field of study: Business administration
System Created
- 2016-06-01 08:36:03
System Modified
- 2021-08-30 01:24:09
- 2 years 7 months ago
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