This project examined the effects of threat perceptions and group empathy on racial outgroup attitudes. The relationship between threat perception and increased racial prejudice has been well established within the literature, but the effect of group empathy within this dynamic has been largely undocumented. The following study utilizes data from the American National Election Study 2020 Time Series to analyze racial outgroup attitudes among subsamples of Blacks (n = 726), Hispanics (n = 762), and Whites (n = 5,962). Along with threat perception, group empathy was found to be a salient predictor of outgroup attitudes. These results suggest that an effective technique to reduce negative outgroup attitudes would aim to reduce perceptions of outgroups as threatening and increase group empathy.

In this study, I examine the relationship between national origin, nativity status, and favorability toward Donald Trump among Latinos in 2016. In particular, I examine the relationship between Cubans, Dominicans, and "other" Latinos to understand how differences in national origin and nativity status influence Trump favorability. The term "Latino" is a pan-ethnic term used to describe individuals with ancestry from Latin America who share a common language, religion and culture. However, studies have shown that Latinos are actually more diverse and political attitudes may differ based on factors like acculturation, national origin, and nativity status. Using data from the 2016 Collaborative Multiracial Post-Election Survey, I find that favorability for Trump differs by national origin and nativity status as immigrants of "other" national origins favor Trump than Cubans and Dominicans. This suggest that Latinos attitudes are not shaped by their pan-ethnic identity and are rather influenced by national origin and nativity status.

Student loan debt continues to be an issue in the U.S., with potential long-term effects on loan repayment and potential wealth accumulation. In particular, minorities face barriers in the educational system and accruing wealth. Hispanics occupy a middling position in the U.S. racial hierarchy. Using the National Longitudinal Survey of Youth 1997 geocode data, in this study I examined how Hispanic-White differences in student debt change over time and how student debt influences wealth. In addition, I accounted for immigration status via parents' nativity status to investigate debt burdens and subsequent wealth for these respondents. I used hierarchical linear growth models to examine debt growth over time and linear decomposition to examine Hispanic-White differences in wealth accumulation and the impact of student debt on these differences. While findings were largely statistically insignificant, I found that Hispanics tended to start with less debt than their White counterparts and that student debt initially grew for both groups. However, White respondents pay off their debt more quickly than Hispanics. In addition, I found that the wealth gap between White and Hispanic respondents grew significantly between the ages of 20 and 35. While Hispanics tended to start with less debt, my findings suggest that …

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 …

The hijra community individuals are one of the most neglected and underprivileged sexual minority groups in Bangladesh. Historically this community has been excluded from mainstream society and was compelled to live and work in separate communal spaces. However, new policies of inclusion implemented by government and non-government organizations have resulted in many hijra individuals leaving their communities. In this research, I focused on how the hijra individuals of Bangladesh come out of their hijra communities to find work and accommodation in mainstream society. Based on 11 in-depth ethnographic field interviews and qualitative data analysis, I found that after leaving the community, the hijra individuals living in Dhaka enter a gendered borderland where they occupy a unique outsider-within position. They undertake different survival strategies to survive amongst harsh socio-economic conditions intersected by multiple modes of discrimination such as maintaining a new guru (leader) for social protection, developing support networks, and redefining their gender identity as ‘transgender,' provide the tools to survive life outside their community. Through these findings, I reflect on the ways poor sexual minority groups such as the hijra survive and use their limited resources to find access to housing and informal work. These findings will add to the …

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 …