Matching Items (3)
Filtering by
- All Subjects: Elections
- Creators: Bovio, Sonia
- Creators: Anselin, Luc
Description
Gerrymandering is a central problem for many representative democracies. Formally, gerrymandering is the manipulation of spatial boundaries to provide political advantage to a particular group (Warf, 2006). The term often refers to political district design, where the boundaries of political districts are “unnaturally” manipulated by redistricting officials to generate durable advantages for one group or party. Since free and fair elections are possibly the critical part of representative democracy, it is important for this cresting tide to have scientifically validated tools. This dissertation supports a current wave of reform by developing a general inferential technique to “localize” inferential bias measures, generating a new type of district-level score. The new method relies on the statistical intuition behind jackknife methods to construct relative local indicators. I find that existing statewide indicators of partisan bias can be localized using this technique, providing an estimate of how strongly a district impacts statewide partisan bias over an entire decade. When compared to measures of shape compactness (a common gerrymandering detection statistic), I find that weirdly-shaped districts have no consistent relationship with impact in many states during the 2000 and 2010 redistricting plan. To ensure that this work is valid, I examine existing seats-votes modeling strategies and develop a novel method for constructing seats-votes curves. I find that, while the empirical structure of electoral swing shows significant spatial dependence (even in the face of spatial heterogeneity), existing seats-votes specifications are more robust than anticipated to spatial dependence. Centrally, this dissertation contributes to the much larger social aim to resist electoral manipulation: that individuals & organizations suffer no undue burden on political access from partisan gerrymandering.
ContributorsWolf, Levi (Author) / Rey, Sergio J (Thesis advisor) / Anselin, Luc (Committee member) / Fotheringham, A. Stewart (Committee member) / Tam Cho, Wendy K (Committee member) / Arizona State University (Publisher)
Created2017
Description
In the 2016 Presidential Election, Republican candidate, Donald Trump, used a communication strategy in which he labeled his opponents and naysayers with negative nicknames. Throughout his campaign he labeled opponents as "Crazy Bernie," "Crooked Hillary," "Little Marco," "Lyin' Ted," "Low Energy Jeb" and "Goofy Elizabeth Warren." Donald Trump repeated these nicknames at rallies and over his social media platforms. Donald Trump was elected President in November 2016 and took office the following January. Did these nicknames that Donald Trump used resonate with voters? And if so, who did they resonate with the most? In order to research these questions, the U.S. eligible voting population was given the opportunity to complete a survey asking them a series of questions about choosing the word that best describes these politicians that Trump has labeled. They were also asked questions regarding what political party they are registered to and who they voted for in the 2016 Presidential Election. Results indicated that Trump voting respondents and registered Republican respondents felt the words Donald Trump used to label his opponents described those politicians best, in comparison to other groups and demographics. These findings demonstrate that the nicknames Donald Trump used during his campaign did resonate with certain groups of voters.
ContributorsBrewer, Jennifer Marie (Author) / Renzulli, Virgil (Thesis director) / Bovio, Sonia (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
A guide to implementing empathy in crisis communications
ContributorsLong, Mary Louise (Author) / Schmidtke, Lisa (Thesis director) / Bovio, Sonia (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Comm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05