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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Trumping The Norm: Political Influence Of Negative Emotion In The 2016 Election

Belden, Megan 01 January 2018 (has links)
Emotion acts as a primer for our memory retention and encoding processes. In the 2016 election, we saw an increase in negative or hostile rhetoric from candidates. I argue this is due to the use of Twitter and the physical representation of engagement. This paper examines the effect of enthusiasm, anxiety, and hostility in response to political tweets. Tweets from Republican presidential candidates, Donald Trump, Ted Cruz, and Marco Rubio were analyzed for emotional response content to explore mean differences in retweets from the three emotions.
2

Explaining the Difference in Support for President Trump and Senator Rubio in the 2016 Election in Florida

Miguez Devesa, Florencia 01 January 2018 (has links)
What explains the difference between the county level vote received by President Donald Trump and U.S. Senator Marco Rubio in the 2016 Florida general election? Over the last couple of decades, Florida has earned a reputation for being a highly competitive state that impacts control of the White House and congress. As Florida’s electorate becomes increasingly diverse, will the Democratic Party begin to win more often as their usual base grows, or will the Republican Party figure out a way to remain competitive? The 2016 general election presents an opportunity to analyze the structure of support for two Republican candidates who represent different paths for the future of the Republican Party: Trump, who won Florida by just one percent, and seemingly alienated Hispanics and women with his comments and policy proposals; or Rubio, who won by about eight percent, a Cuban-American thought to be a fresh voice for the GOP and a bridge to Hispanic voters. Regression analysis is used to examine support for Trump and Rubio and also the difference in support between the candidates. The results indicate Trump did better in counties with larger percentages of lower educated whites, lower income households, and higher unemployment rate. Rubio performed better than Trump in counties with larger numbers of Cuban and non-Cuban Hispanics, women, and voters not registered with either major party. These results suggest that Democrats may gain ground in Florida over time if the Trump wing of the GOP takes over the party and if current population trends continue.
3

Blurred (County) Lines: A Comprehensive Analysis of Voting Patterns in Florida at the County and Regional Levels from 1950 to 2012

Yeargain, Tyler Q. 01 January 2015 (has links)
Over the last sixty years, voting patterns in the United States have changed dramatically, and this is especially true in the state of Florida. Though there is some literature in the field of political science that outlines the voting and election history of Florida and identifies some trends, this literature is extremely limited and is not comprehensive of the data that is available up to the present day. This study seeks to find Florida’s voting patterns and to explain how they can be understood by both the casual observer and the political scientist. To do so, unique methodology was applied that used the "relative margin" of both a county and a region in a particular election to give the Democratic nominee’s performance context both in the election in question and in history, by comparing the actual margin of victory or defeat of the Democratic nominee to the statewide margin of victory or defeat. This was an illuminating process that ultimately revealed some truths about the election history of Florida: the counties and regions most likely to vote for Democratic nominees in the 1950s and early 1960 are now among the least likely to do so, and the counties and regions most likely to vote for Republican nominees in the 1950s and early 1960s are now considered to be "swing" or "tossup" areas that are regularly and alternatively won by Democratic and Republican nominees. Additionally, the pattern of each region in how it voted in presidential elections was compared to forty seven other states in the country to provide further context as to how the election patterns can be understood in context.

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