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Due to the COVID-19 pandemic, declared in March of 2020, there have been many lifestyle changes which have likely influenced tobacco smoking behavior. Such lifestyle changes include lockdowns, stay at home orders, reduction in social cues related to smoking, increased stress, and boredom among other things. This study utilized a cross-sectional survey which looked into these behaviors, primarily perceived risk to COVID-19, and determined if there is an association between perceived risk and education level/race. Education level is a proxy for income and material resources, therefore making it more likely that people with lower levels of education have fewer resources and higher perceived risk to negative effects of COVID-19. Additionally, people of color are often marginalized in the medical community along with being the target of heavy advertising by tobacco companies which have likely impacted risk to COVID-19 as well.
Relationship marketing is a framework in which marketers aim to build two-way bonds with their customers, with the result of long-term benefits to both parties. The rise of social media and the prominence of digital marketing in general, including targeted ads, commercial websites, and email campaigns, has increased the potential for brands and organizations to build such relationships with current and potential customers over time. In the realm of politics, digital marketing has been brought to the mainstream throughout the last decade and its prominence in presidential campaigns has increased ever since, closing the gap in communication between voters, organizations, and candidates. This thesis is an exploration of the effect digital marketing had on Arizona State University students’ perceptions of the presidential candidates and political organizations targeting them during the 2020 election season. The ASU Young Democrats, ASU College Republicans, ASU Undergraduate Student Government, and the 2020 Trump and Biden campaigns were studied through three methods: an analysis of each organization’s marketing tactics through the lens of relationship marketing, interviews with each ASU subject, and a survey of 328 students. The conclusion offers recommendations to each subject based on hypotheses formulated from the analyses and discusses the interrelationship that subjects’ relationship marketing strengths and weaknesses had with students’ views of each organization relative to their desired perceptions.
COVID-19 misinformation covers a wide range of topics such as fatality rate, mask effectiveness, potential cures, vaccine development, and the idea of a "plandemic". The spread of this misinformation happens at a rapid speed with the help of social media and powerful influencers, including major political figures. This thesis is a focused case study on hydroxychloroquine, and builds a timeline of the misinformation surrounding the drug. From poorly conducted studies to the use of false experts, this study reveals how politicized misinformation garners more public attention than the actual science.
With recent reports indicating that there is a relatively low number of pregnant people vaccinated against COVID-19 in the United States (~30% per the Centers for Disease Control and Prevention, October, 2021), this study aims to understand the reasons for COVID-19 vaccine hesitancy among the pregnant population in the state of Arizona. Using a mixed-methods approach, this cross-sectional study employs both semi-structured qualitative interviews (n = 40) and a quantitative survey instrument (n = 400) to better understand the reasons for COVID-19 vaccine hesitancy among pregnant people, with data collected over the course of a few months. Descriptive statistics and logistic regression are employed to analyze the quantitative data and the semi-structured interviews are inductively coded to analyze themes across participant interviews. The results from this study are not only able to help better address disparities in COVID-19 vaccinations among pregnant people, but they also provide implications for vaccine hesitancy overall in order to develop interventions to address vaccine hesitancy. Future research is warranted to better understand regional differences in vaccine hesitancy and differences across populations.
The purpose of this research is to create a model that will benefit this industry and the many changes to come. As of now, there are limited FTC guidelines which limit the protection of content creators, agencies, and brands. That is when I came up with the idea to develop a model to further improve efficiency of the influencer marketing industry, and to help the entrepreneurs who are leading it. This model provides the framework for a strong start in the influencer marketing industry. Through informational interviews, literary research, field studies, and surveys, the model was developed through the data analysis of each of these tools, based on common themes found within each. This research was conducted from a variety of perspectives, including consumers, brands, agencies, and content creators.
The purpose of this research is to create a model that will benefit this industry and the many changes to come. As of now, there are limited FTC guidelines which limit the protection of content creators, agencies, and brands. That is when I came up with the idea to develop a model to further improve efficiency of the influencer marketing industry, and to help the entrepreneurs who are leading it. This model provides the framework for a strong start in the influencer marketing industry. Through informational interviews, literary research, field studies, and surveys, the model was developed through the data analysis of each of these tools, based on common themes found within each. This research was conducted from a variety of perspectives, including consumers, brands, agencies, and content creators.
With recent reports indicating that there is a relatively low number of pregnant people vaccinated against COVID-19 in the United States (~30% per the Centers for Disease Control and Prevention, October, 2021), this study aims to understand the reasons for COVID-19 vaccine hesitancy among the pregnant population in the state of Arizona. Using a mixed-methods approach, this cross-sectional study employs both semi-structured qualitative interviews (n = 40) and a quantitative survey instrument (n = 400) to better understand the reasons for COVID-19 vaccine hesitancy among pregnant people, with data collected over the course of a few months. Descriptive statistics and logistic regression are employed to analyze the quantitative data and the semi-structured interviews are inductively coded to analyze themes across participant interviews. The results from this study are not only able to help better address disparities in COVID-19 vaccinations among pregnant people, but they also provide implications for vaccine hesitancy overall in order to develop interventions to address vaccine hesitancy. Future research is warranted to better understand regional differences in vaccine hesitancy and differences across populations.