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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

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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Description
The scientific research conducted by science, technology, engineering, and mathematics (STEM) institutions is groundbreaking. Everyday, scientists create a deeper understanding of the world around us, and then communicate that understanding through journal papers, articles, and conferences. To strengthen these traditional forms of communication, science communicators can use social media platforms

The scientific research conducted by science, technology, engineering, and mathematics (STEM) institutions is groundbreaking. Everyday, scientists create a deeper understanding of the world around us, and then communicate that understanding through journal papers, articles, and conferences. To strengthen these traditional forms of communication, science communicators can use social media platforms such as Twitter and Facebook to promote themselves and earn digital audience engagement that will grow the impact and success of their research. This thesis synthesizes research on human communication theories, digital user behavior, and science communication practices in order to create the “Science Communicator’s Guide to Social Media Engagement”. This guide empowers science communicators to utilize social media in a way that can increase their digital audience engagement, expand the reach of their research, and ultimately amplify their professional presence in the scientific community.
ContributorsVandekop, Victoria Margueritte (Author) / Asner, Greg (Thesis director) / Martin, Roberta (Committee member) / Hugh Downs School of Human Communication (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
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Description
A novel underwater, open source, and configurable vehicle that mimics and leverages advances in quad-copter controls and dynamics, called the uDrone, was designed, built and tested. This vehicle was developed to aid coral reef researchers in collecting underwater spectroscopic data for the purpose of monitoring coral reef health. It is

A novel underwater, open source, and configurable vehicle that mimics and leverages advances in quad-copter controls and dynamics, called the uDrone, was designed, built and tested. This vehicle was developed to aid coral reef researchers in collecting underwater spectroscopic data for the purpose of monitoring coral reef health. It is designed with an on-board integrated sensor system to support both automated navigation in close proximity to reefs and environmental observation. Additionally, the vehicle can serve as a testbed for future research in the realm of programming for autonomous underwater navigation and data collection, given the open-source simulation and software environment in which it was developed. This thesis presents the motivation for and design components of the new vehicle, a model governing vehicle dynamics, and the results of two proof-of-concept simulation for automated control.
ContributorsGoldman, Alex (Author) / Das, Jnaneshwar (Thesis advisor) / Asner, Greg (Committee member) / Marvi, Hamidreza (Committee member) / Arizona State University (Publisher)
Created2020