In order to more fully inform moves toward equity in emergency management (EM), this research seeks to describe a general landscape of professional Tribal EM, and in particular, to examine how Tribal emergency managers and Tribal Nations are situated in relation to the EM enterprise (EME), and how they are doing resilience in their Tribal Nations. The findings presented in this dissertation reflect efforts to explore and document Tribal emergency managers' descriptions of their work and their perceptions about its context as they seek to do resilience in their Tribes. Specifically, qualitative interviews were conducted with Tribal emergency managers whose Tribal Nations span the United States. Findings indicate that there is significant variation among Tribal nations in terms of EM structures and capacities; Tribal emergency managers engage in a wide array of activities to promote resilience in their communities; and Tribal EM is becoming increasingly professionalized. Importantly, however, the research also uncovered a paradox in which Tribal emergency managers, both implicitly and explicitly excluded from the EME in many ways, find themselves doing resilience in the context of an increasingly popular disaster resilience paradigm that both increasingly shifts the burden of resilience to the local level, and expands the range …

Affirmative action policies have been a popular topic in U.S. media since their inception in the Civil Rights Act 1964. Previous studies note that race, gender, and political identity are known influencers of support for affirmative action policies; however, this dissertation analyzes the mediating effects of perceived experiences of discrimination in the workplace on a person's level of support for the preferential hiring and promotion of Black Americans based on the intersection of the race, gender, and political identity. Through social dominance theory (SDT), this dissertation highlights the motivations people may have in support or opposition of affirmative action, especially for Black Americans. Due to the historical lineage of African Americans in the U.S., stereotypes about Black people's work ethic have continued to be mostly negative-which inform hiring, promotion, and admission procedures today. Using the General Social Survey (GSS) to conduct regression and mediation analysis, this dissertation found significant support for mediation of perceived experiences to increase support for affirmative action among white females, and Black people regardless of gender or political identity. While race and gender discrimination were thought to be the most influencing forms of discrimination experienced, age discrimination showed to transcend racial, gender, and political barriers. Accordingly, …

Various forms of complementary and alternative medicine (CAM) are increasingly being used in the United States and globally over time. Among CAM, natural products, including herbal medicines, are the most used type. However, the increase in the use of CAM has gone on with minimal or without a corresponding increase in the rate of disclosure of use to the health care providers. The theories of care-seeking behavior and the behavioral model of health services use guided most of the study. Data from the 2012 National Health Interview Survey were analyzed to determine the health factors that affect the nondisclosure of herbal medicine usage by respondents (N = 423) who used herbs as their first choice of CAM therapy. Data were analyzed using descriptive statistics and a binary logistic model. About one quarter of herb users did not disclose their use of herbs to the health care provider. Nondisclosures were likely to be associated with herb users who also used homeopathy and those who used herbs to treat diseases that are usually short-term. The nondisclosure rate of the use of CAM, including herbal therapy, remains a recurring concern. As part of the practical implications, the study creates and supports the awareness …

The purpose of this research is to measure the social shifts that take place in a home where artificial intelligent (AI) devices like Echo Dot and Google Home are fully integrated into their everyday life. Research is currently limited, being that the widespread use of these devices is roughly seven years old. Three main outcomes of this study were related to how often Alexa is being used in homes to solve everyday problems, the lack of overall privacy and security concerns users had, and the level of integration into the home as a member of the family. Some limitations and challenges are my ability to compare the households before and after installing these devices in the home; pinpointing when and where the device is used (i.e., room placement); collecting data on whether the device is used often or sparingly; and the depth of interactions these families actually have with the device on a whole. The broader implications behind the increased integration of AI devices is centered around health, labor, social inequality and ethics.

Drawing on in-depth, semistructured interviews with 42 nonbinary-identified individuals in Texas, I examine both the relationship between pronouns and identity and how individuals use pronouns in interaction. Some individuals speak about their pronoun set as a crucial component of their gender identity, adopting what I refer to as an essential expression strategy, while others discuss their pronoun set as more loosely connected to their non-binary identity, adopting what I refer to as a flexible expression strategy. Whether an individual adopts an essential or flexible expression strategy informs pronoun use in a particular context. Specifically, I find that respondents adopting an essential expression strategy are more likely to emotionally invest in using/enforcing a particular pronoun set and report strong emotions from the use of correct or incorrect pronouns in interaction. In contrast, respondents adopting a flexible expression approach are less emotionally invested in a particular pronoun set. As a result, these respondents are more likely to defer pronoun choice to the audience and prioritize the ease of interaction with less emotional consequences.

This dissertation consists of three chapters, aiming to analyze, understand and discuss how Turkish public opinion fluctuates on social media based on governmental actions and how that fluctuation affects the society and politics in Turkey. Using textual data from social media, I combined natural language processing techniques with statistical methods, to study how Turkish public opinion is shaped by governmental actions in various scenarios. In the first chapter, I created a social network of Twitter users to detect the differences in the extent of political polarization between pro-government and opposition voters during the June 2019 Istanbul mayoral election. The second chapter focuses on the stigmatization of a social/religious group in Turkey by government-driven labeling and terrorism designation. Word embeddings are used to pinpoint the offensive language and the hate campaign against the group, considering the labels that are used to identify the group. Finally, the third chapter examines the rally-around-the-flag effect during highly inciting moments like cross-border military operations. A corpus of tweets for each of the two Turkish cross-border military operations is analyzed using topic modeling and sentiment analysis to get a grasp of the rally effect and how the governments can benefit in internal matters from the changes …