T T Nguyen
Biographic Data
| ID | 22606 |
|---|---|
| NAME | T T Nguyen |
| GIVEN NAMES | T T |
| FAMILY NAME | Nguyen |
| SIGNATURE | NGUYEN T T |
| AFFILIATIONS | University of Maryland, College Park |
| ORCID | 0000-0003-1185-045X |
| VERIFIED | Yes |
| TOTAL WORKS | 26 |
| TOTAL CITATIONS | 103 |
| AUTHOR COUNT | 26 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 6 |
Navigating identity in digital spaces: An exploratory study of social engagement and interactions
Introduction: Through a focus group approach in an exploratory qualitative study, we aim to understand how engagement on digital platforms varies by social identities including race and ethnicity, gender, sexual orientation, and religion, and the respondents' response to both positive and negative interactions. Methods: This study involved data collection from six focus groups, two included members of the general population, two focused on the ex…
It Is Not Simply Black and White: A Qualitative Study Unpacking How Women Understand Racism and Discrimination
The aim of this exploratory focus group study is to examine how Black women, White women, and White women involved in an anti-racism group perceive race and racism in daily life and the strategies they use or recommend to protect themselves and others. While the primary emphasis is on racial identity and racism, the analysis also considers how these dynamics intersect with gender for women across racial groups. A purposive sample of 30 participan…
A Decade of Discourse: Exploring Sentiments and Trends around Immigration on Social Media from 2014-2024
Migration discourse is shaped by political events, emotional framing, and platform-specific dynamics, underscoring the need for cross-platform analyses to understand evolving digital narratives
Neighborhood built environment, obesity, and diabetes: A Utah siblings study
We observe associations between neighborhood characteristics and chronic diseases, accounting for biological, social, and cultural factors shared among siblings in this large population-based study
"HIV Stigma Exists" - Exploring ChatGPT's HIV Advice by Race and Ethnicity, Sexual Orientation, and Gender Identity
Background Stigma and discrimination are associated with HIV persistence. Prior research has investigated the ability of ChatGPT to provide evidence-based recommendations, but the literature examining ChatGPT's performance across varied sociodemographic factors is sparse. The aim of this study is to understand how ChatGPT 3.5 and 4.0 provide HIV-related guidance related to race and ethnicity, sexual orientation, and gender identity; and if and ho…
Vigilance and Protection: How Asian and Pacific Islander, Black, Latina, and Middle Eastern Women Cope with Racism
Changes in the relationship between Index of Concentration at the Extremes and U.S. urban greenspace: A longitudinal analysis from 2001–2019
Urban greenspace is associated with a wide variety of human health benefits, from improved mental health to reduced violent crime and infant birth outcomes. This study investigates long-term trends in the distribution of greenspace across census tracts in the 260 U.S. cities with populations greater than 100,000 residents based on economic privilege and deprivation. Satellite-acquired Normalized Difference Vegetation Index (NDVI) images were used…
Solidarity and strife after the Atlanta spa shootings: A mixed methods study characterizing Twitter discussions by qualitative analysis and machine learning
Background On March 16, 2021, a white man shot and killed eight victims, six of whom were Asian women at Atlanta-area spa and massage parlors. The aims of the study were to: (1) qualitatively summarize themes of tweets related to race, ethnicity, and racism immediately following the Atlanta spa shootings, and (2) examine temporal trends in expressions hate speech and solidarity before and after the Atlanta spa shootings using a new methodology fo…
Racism During Pregnancy and Birthing: Experiences from Asian and Pacific Islander, Black, Latina, and Middle Eastern Women
Examining Exposure to Messaging, Content, and Hate Speech from Partisan News Social Media Posts on Racial and Ethnic Health Disparities
We investigated the content of liberal and conservative news media Facebook posts on race and ethnic health disparities. A total of 3,327,360 liberal and conservative news Facebook posts from the United States (US) from January 2015 to May 2022 were collected from the Crowd Tangle platform and filtered for race and health-related keywords. Qualitative content analysis was conducted on a random sample of 1750 liberal and 1750 conservative posts. P…
The Water Surrounding the Iceberg: Cultural Racism and Health Inequities
More time, research, and funding is needed to advance measurement, elucidate mechanisms, and develop evidence-based policy interventions to reduce cultural racism and promote health equity
Twitter Fingers and Echo Chambers: Exploring Expressions and Experiences of Online Racism Using Twitter
Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes
Characteristics of the neighborhood built environment influence health and health behavior. Google Street View (GSV) images may facilitate measures of the neighborhood environment that are meaningful, practical, and adaptable to any geographic boundary. We used GSV images and computer vision to characterize neighborhood environments (green streets, visible utility wires, and dilapidated buildings) and examined cross-sectional associations with ch…
Advocacy, Hesitancy, and Equity: Exploring U.S. Race-Related Discussions of the Covid-19 Vaccine on Twitter
Our analysis demonstrates that Twitter can provide nuances about multiple viewpoints on the vaccine related to race and ethnicity and can be beneficial in contributing to insights for public health messaging
Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter
Evaluating associations between area-level Twitter-expressed negative racial sentiment, hate crimes, and residents' racial prejudice in the United States
Leveraging timely data sources for measuring area-level racial sentiment can provide new opportunities for investigating the impact of racial bias on society and health
After “The China Virus” Went Viral: Racially Charged Coronavirus Coverage and Trends in Bias Against Asian Americans
On March 8, 2020, there was a 650% increase in Twitter retweets using the term “Chinese virus” and related terms. On March 9, there was an 800% increase in the use of these terms in conservative news media articles. Using data from non-Asian respondents of the Project Implicit “Asian Implicit Association Test” from 2007–2020 ( n = 339,063), we sought to ascertain if this change in media tone increased bias against Asian Americans. Local polynomia…
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of Covid-19
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in response to COVID-19. Racism can have significant social, economic, and health impacts, but there has been little systematic investigation of increases in anti-Asian prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) to collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis…
Whites’ County-Level Racial Bias, Covid-19 Rates, and Racial Inequities in the United States
Mounting evidence reveals considerable racial inequities in coronavirus disease 2019 (COVID-19) outcomes in the United States (US). Area-level racial bias has been associated with multiple adverse health outcomes, but its association with COVID-19 is yet unexplored. Combining county-level data from Project Implicit on implicit and explicit anti-Black bias among non-Hispanic Whites, Johns Hopkins Coronavirus Resource Center, and The New York Times…
Twitter-Characterized Sentiment Towards Racial/Ethnic Minorities and Cardiovascular Disease (CVD) Outcomes
Differential associations between state-level educational quality and cardiovascular health by race: Early-life exposures and late-life health
Cardiovascular diseases (CVD) are patterned by educational attainment but educational quality is rarely examined. Educational quality differences may help explain racial disparities. Health and Retirement Study respondent data (1992-2014; born 1900-1951) were linked to state- and year-specific educational quality measures when the respondent was 6 years old. State-level educational quality was a composite of state-level school term length, studen…
Pride, Love, and Twitter Rants: Combining Machine Learning and Qualitative Techniques to Understand What Our Tweets Reveal about Race in the US
Objective : Describe variation in sentiment of tweets using race-related terms and identify themes characterizing the social climate related to race. Methods : We applied a Stochastic Gradient Descent Classifier to conduct sentiment analysis of 1,249,653 US tweets using race-related terms from 2015-2016. To evaluate accuracy, manual labels were compared against computer labels for a random subset of 6600 tweets. We conducted qualitative content a…
Neighbourhood looking glass: 360O Automated Characterisation of the Built Environment for Neighbourhood Effects Research
BACKGROUND: Neighbourhood quality has been connected with an array of health issues, but neighbourhood research has been limited by the lack of methods to characterise large geographical areas. This study uses innovative computer vision methods and a new big data source of street view images to automatically characterise neighbourhood built environments. METHODS: A total of 430 000 images were obtained using Google's Street View Image API for Sal…
Twitter-derived measures of sentiment towards minorities (2015–2016) and associations with low birth weight and preterm birth in the United States
More negative area-level sentiment towards blacks and Middle Eastern groups was related to worse individual birth outcomes, and this is true for the full population and minorities
Discrimination in health care and biomarkers of cardiometabolic risk in U.S. adults
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of Covid-19
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in response to COVID-19. Racism can have significant social, economic, and health impacts, but there has been little systematic investigation of increases in anti-Asian prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) to collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis…
Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter
The Water Surrounding the Iceberg: Cultural Racism and Health Inequities
More time, research, and funding is needed to advance measurement, elucidate mechanisms, and develop evidence-based policy interventions to reduce cultural racism and promote health equity
Whites’ County-Level Racial Bias, Covid-19 Rates, and Racial Inequities in the United States
Mounting evidence reveals considerable racial inequities in coronavirus disease 2019 (COVID-19) outcomes in the United States (US). Area-level racial bias has been associated with multiple adverse health outcomes, but its association with COVID-19 is yet unexplored. Combining county-level data from Project Implicit on implicit and explicit anti-Black bias among non-Hispanic Whites, Johns Hopkins Coronavirus Resource Center, and The New York Times…
Twitter-derived measures of sentiment towards minorities (2015–2016) and associations with low birth weight and preterm birth in the United States
More negative area-level sentiment towards blacks and Middle Eastern groups was related to worse individual birth outcomes, and this is true for the full population and minorities
Evaluating associations between area-level Twitter-expressed negative racial sentiment, hate crimes, and residents' racial prejudice in the United States
Leveraging timely data sources for measuring area-level racial sentiment can provide new opportunities for investigating the impact of racial bias on society and health
Neighbourhood looking glass: 360O Automated Characterisation of the Built Environment for Neighbourhood Effects Research
BACKGROUND: Neighbourhood quality has been connected with an array of health issues, but neighbourhood research has been limited by the lack of methods to characterise large geographical areas. This study uses innovative computer vision methods and a new big data source of street view images to automatically characterise neighbourhood built environments. METHODS: A total of 430 000 images were obtained using Google's Street View Image API for Sal…
Twitter-Characterized Sentiment Towards Racial/Ethnic Minorities and Cardiovascular Disease (CVD) Outcomes
The role of literacy in the association between educational attainment and depressive symptoms
There is a consistent association between education and depressive symptoms, but research on the mechanisms to explain this association remains limited. No study has formally evaluated the extent to which the association between education and depressive symptoms is mediated through a foundational skill such as literacy. Inverse odds ratio weighting (IORW) was used to estimate total, natural direct, and natural indirect effects in examining litera…
Neighbourhood looking glass: 360O Automated Characterisation of the Built Environment for Neighbourhood Effects Research
BACKGROUND: Neighbourhood quality has been connected with an array of health issues, but neighbourhood research has been limited by the lack of methods to characterise large geographical areas. This study uses innovative computer vision methods and a new big data source of street view images to automatically characterise neighbourhood built environments. METHODS: A total of 430 000 images were obtained using Google's Street View Image API for Sal…
Twitter-derived measures of sentiment towards minorities (2015–2016) and associations with low birth weight and preterm birth in the United States
More negative area-level sentiment towards blacks and Middle Eastern groups was related to worse individual birth outcomes, and this is true for the full population and minorities
Discrimination in health care and biomarkers of cardiometabolic risk in U.S. adults
Differential associations between state-level educational quality and cardiovascular health by race: Early-life exposures and late-life health
Cardiovascular diseases (CVD) are patterned by educational attainment but educational quality is rarely examined. Educational quality differences may help explain racial disparities. Health and Retirement Study respondent data (1992-2014; born 1900-1951) were linked to state- and year-specific educational quality measures when the respondent was 6 years old. State-level educational quality was a composite of state-level school term length, studen…
Pride, Love, and Twitter Rants: Combining Machine Learning and Qualitative Techniques to Understand What Our Tweets Reveal about Race in the US
Objective : Describe variation in sentiment of tweets using race-related terms and identify themes characterizing the social climate related to race. Methods : We applied a Stochastic Gradient Descent Classifier to conduct sentiment analysis of 1,249,653 US tweets using race-related terms from 2015-2016. To evaluate accuracy, manual labels were compared against computer labels for a random subset of 6600 tweets. We conducted qualitative content a…
After “The China Virus” Went Viral: Racially Charged Coronavirus Coverage and Trends in Bias Against Asian Americans
On March 8, 2020, there was a 650% increase in Twitter retweets using the term “Chinese virus” and related terms. On March 9, there was an 800% increase in the use of these terms in conservative news media articles. Using data from non-Asian respondents of the Project Implicit “Asian Implicit Association Test” from 2007–2020 ( n = 339,063), we sought to ascertain if this change in media tone increased bias against Asian Americans. Local polynomia…
Exploring U.S. Shifts in Anti-Asian Sentiment with the Emergence of Covid-19
Background: Anecdotal reports suggest a rise in anti-Asian racial attitudes and discrimination in response to COVID-19. Racism can have significant social, economic, and health impacts, but there has been little systematic investigation of increases in anti-Asian prejudice. Methods: We utilized Twitter's Streaming Application Programming Interface (API) to collect 3,377,295 U.S. race-related tweets from November 2019-June 2020. Sentiment analysis…
Whites’ County-Level Racial Bias, Covid-19 Rates, and Racial Inequities in the United States
Mounting evidence reveals considerable racial inequities in coronavirus disease 2019 (COVID-19) outcomes in the United States (US). Area-level racial bias has been associated with multiple adverse health outcomes, but its association with COVID-19 is yet unexplored. Combining county-level data from Project Implicit on implicit and explicit anti-Black bias among non-Hispanic Whites, Johns Hopkins Coronavirus Resource Center, and The New York Times…
Twitter-Characterized Sentiment Towards Racial/Ethnic Minorities and Cardiovascular Disease (CVD) Outcomes
Twitter Fingers and Echo Chambers: Exploring Expressions and Experiences of Online Racism Using Twitter
Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes
Characteristics of the neighborhood built environment influence health and health behavior. Google Street View (GSV) images may facilitate measures of the neighborhood environment that are meaningful, practical, and adaptable to any geographic boundary. We used GSV images and computer vision to characterize neighborhood environments (green streets, visible utility wires, and dilapidated buildings) and examined cross-sectional associations with ch…
Advocacy, Hesitancy, and Equity: Exploring U.S. Race-Related Discussions of the Covid-19 Vaccine on Twitter
Our analysis demonstrates that Twitter can provide nuances about multiple viewpoints on the vaccine related to race and ethnicity and can be beneficial in contributing to insights for public health messaging
Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter
Evaluating associations between area-level Twitter-expressed negative racial sentiment, hate crimes, and residents' racial prejudice in the United States
Leveraging timely data sources for measuring area-level racial sentiment can provide new opportunities for investigating the impact of racial bias on society and health
Changes in the relationship between Index of Concentration at the Extremes and U.S. urban greenspace: A longitudinal analysis from 2001–2019
Urban greenspace is associated with a wide variety of human health benefits, from improved mental health to reduced violent crime and infant birth outcomes. This study investigates long-term trends in the distribution of greenspace across census tracts in the 260 U.S. cities with populations greater than 100,000 residents based on economic privilege and deprivation. Satellite-acquired Normalized Difference Vegetation Index (NDVI) images were used…
Solidarity and strife after the Atlanta spa shootings: A mixed methods study characterizing Twitter discussions by qualitative analysis and machine learning
Background On March 16, 2021, a white man shot and killed eight victims, six of whom were Asian women at Atlanta-area spa and massage parlors. The aims of the study were to: (1) qualitatively summarize themes of tweets related to race, ethnicity, and racism immediately following the Atlanta spa shootings, and (2) examine temporal trends in expressions hate speech and solidarity before and after the Atlanta spa shootings using a new methodology fo…
Racism During Pregnancy and Birthing: Experiences from Asian and Pacific Islander, Black, Latina, and Middle Eastern Women
Examining Exposure to Messaging, Content, and Hate Speech from Partisan News Social Media Posts on Racial and Ethnic Health Disparities
We investigated the content of liberal and conservative news media Facebook posts on race and ethnic health disparities. A total of 3,327,360 liberal and conservative news Facebook posts from the United States (US) from January 2015 to May 2022 were collected from the Crowd Tangle platform and filtered for race and health-related keywords. Qualitative content analysis was conducted on a random sample of 1750 liberal and 1750 conservative posts. P…
The Water Surrounding the Iceberg: Cultural Racism and Health Inequities
More time, research, and funding is needed to advance measurement, elucidate mechanisms, and develop evidence-based policy interventions to reduce cultural racism and promote health equity
Neighborhood built environment, obesity, and diabetes: A Utah siblings study
We observe associations between neighborhood characteristics and chronic diseases, accounting for biological, social, and cultural factors shared among siblings in this large population-based study
"HIV Stigma Exists" - Exploring ChatGPT's HIV Advice by Race and Ethnicity, Sexual Orientation, and Gender Identity
Background Stigma and discrimination are associated with HIV persistence. Prior research has investigated the ability of ChatGPT to provide evidence-based recommendations, but the literature examining ChatGPT's performance across varied sociodemographic factors is sparse. The aim of this study is to understand how ChatGPT 3.5 and 4.0 provide HIV-related guidance related to race and ethnicity, sexual orientation, and gender identity; and if and ho…
Vigilance and Protection: How Asian and Pacific Islander, Black, Latina, and Middle Eastern Women Cope with Racism
Navigating identity in digital spaces: An exploratory study of social engagement and interactions
Introduction: Through a focus group approach in an exploratory qualitative study, we aim to understand how engagement on digital platforms varies by social identities including race and ethnicity, gender, sexual orientation, and religion, and the respondents' response to both positive and negative interactions. Methods: This study involved data collection from six focus groups, two included members of the general population, two focused on the ex…
It Is Not Simply Black and White: A Qualitative Study Unpacking How Women Understand Racism and Discrimination
The aim of this exploratory focus group study is to examine how Black women, White women, and White women involved in an anti-racism group perceive race and racism in daily life and the strategies they use or recommend to protect themselves and others. While the primary emphasis is on racial identity and racism, the analysis also considers how these dynamics intersect with gender for women across racial groups. A purposive sample of 30 participan…
Sociology (18 works) · Medicine (15 works) · Racial and Ethnic Identity Research (13 works) · Political science (11 works) · Psychology (11 works) · Ethnic group (10 works) · Racism (10 works) · Demography (9 works) · Demography (7 works) · Gender Studies (7 works)