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Although smaller and more local elections could have implications more dramatic to an individual than larger district-, state-, and nation-wide elections do, very few citizens vote in them. Moreover, citizens are limited in procuring further information on candidates, issues, and the overall election when there are fewer sources of such

Although smaller and more local elections could have implications more dramatic to an individual than larger district-, state-, and nation-wide elections do, very few citizens vote in them. Moreover, citizens are limited in procuring further information on candidates, issues, and the overall election when there are fewer sources of such information across various mediums. While existing literature on political communication and voter participation does not yet extend far enough to sufficiently address the most local aspects of media effects on elections, the political science field’s dominating frameworks would suggest that an increase in news media, social media, and ground mobilization tactics would increase civic engagement and voter participation. My research, which focuses on hyperlocal elections, both supports a​nd​refutes certain elements of that suggestion. Based on surveys of potential voters in a university’s student government election and a school board election, interviews with two student government presidential candidates, and an analysis of social media engagement, my research compares three mass media platforms and two elections to characterize the effects of media on hyperlocal elections—that certain tactics have drastically different results on different populations. My research expands the body of media and politics knowledge to include hyperlocal elections, suggesting that civic engagement on the local levels require increased further study.
Created2015-05
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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

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
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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
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This paper intends to parse out the differences between various types of nationalism. It will break down the current trend toward xenophobic rhetoric in modern democratic election campaigns. Then, it will discuss the effect of modern media coverage in the dissemination and sustenance of toxic nationalist rhetoric and cover the

This paper intends to parse out the differences between various types of nationalism. It will break down the current trend toward xenophobic rhetoric in modern democratic election campaigns. Then, it will discuss the effect of modern media coverage in the dissemination and sustenance of toxic nationalist rhetoric and cover the role of President Donald J. Trump in doing the same. Finally, it will outline what appears to be the root cause of this current uptick in toxic nationalism and recommend some methods by which the issue can be resolved in the current political atmosphere.
ContributorsMcCreary, Micah (Author) / Goggin, Maureen (Thesis director) / Chanley, Jesse (Committee member) / School of International Letters and Cultures (Contributor) / Department of English (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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The goal of this project was to develop a prototype for an educational tool that will help users understand how the voting system deployed by a government can affect the outcomes of elections. This tool was developed in Java SE, consisting of a model for the simulation of elections capable

The goal of this project was to develop a prototype for an educational tool that will help users understand how the voting system deployed by a government can affect the outcomes of elections. This tool was developed in Java SE, consisting of a model for the simulation of elections capable of supporting various voting systems, along with a variety of fairness measures, and educational and explanatory material. While a completed version of this tool would ideally be fully self-contained, easily accessible in-browser, and provide detailed visualizations of the simulated elections, the current prototype version consists of a GitHub repository containing the code, with the educational material and explanations contained within the thesis paper. Ultimately, the goal of this project was to be a stepping stone on the path to create a tool that will instill a measure of systemic skepticism in the user; to give them cause to question why our systems are built the way they are, and reasons to believe that they could be changed for the better. In undertaking this project, I hope to help in providing people with the political education needed to make informed decisions about how they want the government to function. The GitHub repository containing all the code can be found at, https://github.com/SpencerDiamond/Votes_that_Count

ContributorsDiamond, Spencer (Author) / Sarjoughian, Hessam (Thesis director) / Hines, Taylor (Committee member) / Barrett, The Honors College (Contributor) / Department of Physics (Contributor) / Department of English (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05