Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Partisan selective news exposure and political polarization on twitter networks in Turkey
Download
index.pdf
Date
2018
Author
Gölcük, Seyit
Metadata
Show full item record
Item Usage Stats
343
views
125
downloads
Cite This
This thesis aims to investigate the degree of partisan selective exposure, political polarization and their statistical association by using a Twitter data derived from Turkish political Twitter networks. Analysis of a sample of 2.790.339 unique users who have a total of 48.316.548 following links to political news outlets and political entities on Twitter reveals that, Turkish Twitter audiences identified with a political party exercise very high levels of partisan selective exposure to like-minded news outlets and very low levels of cross-cutting exposure to politically discrepant outlets. In addition, they are found to be very polarized in terms of disproportionately following pro-party deputies and retweeting accounts that share their own political views. The regression analyses with interaction terms supported the main hypothesis of this study in that, irrespective of the political party that is being favored of, partisanship combined with higher levels of like-minded news exposure is significantly associated with political polarization, whereas more cross-cutting exposure among partisans is related with less polarized attitudes. Moreover, validation of the partisanship and polarization measures strengthens the findings of this study
Subject Keywords
Social media.
,
Political participation.
,
Online social networks.
,
Polarization (Social sciences).
URI
http://etd.lib.metu.edu.tr/upload/12622147/index.pdf
https://hdl.handle.net/11511/27365
Collections
Graduate School of Social Sciences, Thesis
Suggestions
OpenMETU
Core
Political Discourse Strategies Used in Twitter during Gezi Park Protests: A Comparison of Two Rival Political Parties in Turkey
Yavuz, Nilay; PARLAK, İSMET; Subay, Ozlem Ozdesim (2018-01-01)
Along with the growing use of twitter as a tool of political interaction, recently, there has also been an attention in the academia to understand and explain how and why politicians use twitter, and what its impact on the political outcomes are. On the other hand, there has been little analysis about the content of the tweets that politicians from different parties posted during major political events. Accordingly, this study aims to investigate the discourse strategies that the top-level politicians of th...
Social media and word-of-mouth dispersion : factors affecting likelihood of diffusion
Kursun, Zuhal Sinem; Yılmaz, Cengiz; Department of Business Administration (2013)
This study aims to analyse the factors behind electronic word-of-mouth participation on social network sites, especially on Twitter. For this purpose, the general drivers behind such activity is classified, and other sub-factors were categorised under these drivers were categorised as influencers and determinants. Both individual and environmental factors were studied for a comprehensive analysis about factors increasing or decreasing the likelihood of diffusion of word-of-mouth messages. Besides the hypoth...
Social media usage in politics : the framing effect and political involvement
Özdemir, Burçin; Yılmaz, Cengiz; Department of Business Administration (2016)
This study aims to explore the role of framing effect on the impacts of political messages transmitted through Social Networking Sites (SNSs). Messages from politicians framed differently (positive/negative, use of symbolic language / neutral language) are evaluated by a large number of individuals with varying demographic characteristics and political involvement levels, and the respondents’ degree of (1) agreement, (2) comprehension, (3) persuasion, (4) confidence with the message as well as (5) willingne...
Collective classification of user emotions in twitter
İleri, İbrahim; Karagöz, Pınar; Department of Computer Engineering (2015)
The recent explosion of social networks has generated a big amount of data including user opinions about varied subjects. For classifying the sentiment of user postings, many text-based techniques have been proposed in the literature. As a continuation of sentiment analysis, there are also studies on the emotion analysis. Because of the fact that many different emotions are needed to be dealt with at this point, the problem becomes much more complicated. In this thesis, a different user-centric approach is ...
A critical appraisal on the societal effects of television magazine programs in Turkey
Çakar, Mehmet; Kaya, Ahmet Raşit; Department of Political Science and Public Administration (2004)
This thesis analyzes the contents of the Turkish magazine programs to explore as if the contents feed anti- establishment feelings or reinforce the existing hegemony in the society. The theses also traces the audience attitudes and beliefs towards the magazine programs in Turkey. The results suggested that programs do not represent any threat to the existing hegemony. On the contrary, it is more plausible to suggest that they represent a serious support to the existing order. The audience reactions revealed...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Gölcük, “Partisan selective news exposure and political polarization on twitter networks in Turkey,” M.S. - Master of Science, Middle East Technical University, 2018.