dc.contributor.advisor | Banwart, Mary C | |
dc.contributor.advisor | Hall, Jeff A | |
dc.contributor.author | Kearney, Michael Wayne | |
dc.date.accessioned | 2018-04-20T22:15:47Z | |
dc.date.available | 2018-04-20T22:15:47Z | |
dc.date.issued | 2017-05-31 | |
dc.date.submitted | 2017 | |
dc.identifier.other | http://dissertations.umi.com/ku:15182 | |
dc.identifier.uri | http://hdl.handle.net/1808/26335 | |
dc.description.abstract | Communication and media research lacks an accessible and systematic approach to measuring political partisanship in decentralized media environments. In this dissertation, a network-based measurement of partisanship is proposed and then used to analyze social media users during a highly contentious general election. Study I (Chapter 2) introduces rtweet, a newly developed open-source software package designed to collect Twitter data. Study II (Chapter 3) then uses rtweet to gather publicly available Twitter data and demonstrate a network-based approach to estimating partisanship. Finally, Study 3 (Chapter 4) extends this network-based approach to analyze change over time in network polarization among partisan and non-partisan users during the 2016 general election. Results showcase the range and validity of network-based estimates of partisanship and provide clear evidence of partisan selective exposure and network polarization on Twitter as proximity to the election increases. | |
dc.format.extent | 106 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | Copyright held by the author. | |
dc.subject | Mass communication | |
dc.subject | Communication | |
dc.subject | Political science | |
dc.subject | networks | |
dc.subject | partisanship | |
dc.subject | polarization | |
dc.subject | selective exposure | |
dc.subject | twitter | |
dc.title | A network-based approach to estimating partisanship and analyzing change in polarization during the 2016 general election | |
dc.type | Dissertation | |
dc.contributor.cmtemember | Warner, Benjamin R | |
dc.contributor.cmtemember | Muddiman, Ashley | |
dc.contributor.cmtemember | Webb, Clayton M | |
dc.thesis.degreeDiscipline | Communication Studies | |
dc.thesis.degreeLevel | Ph.D. | |
dc.identifier.orcid | | |
dc.rights.accessrights | openAccess | |