# overview
I study how emerging technologies such as AI and chatbot can be used for health promotion with a special focus on ethics and social justice. I also study the content and diffusion of health information and misinformation on social media using new computational methods such as natural language processing and social network analysis.

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3.1 Primary Prevention Interventions To Modify Behaviours Or Promote Wellbeing

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4607 Graphics, Augmented Reality And Games

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Networking And Information Technology R&d (nitrd)

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Machine Learning And Artificial Intelligence

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2.3 Psychological, Social And Economic Factors

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16 Peace, Justice And Strong Institutions

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Networking And Information Technology R&d (nitrd)

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Machine Learning And Artificial Intelligence

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3 Prevention Of Disease And Conditions, And Promotion Of Well-being

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5201 Applied And Developmental Psychology

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Networking And Information Technology R&d (nitrd)

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3 Prevention Of Disease And Conditions, And Promotion Of Well-being

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2.3 Psychological, Social And Economic Factors

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Clinical Trials And Supportive Activities

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Peking University - (Beijing, Beijing, China)

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University of Southern California - (Los Angeles, California, United States)

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University of Southern California - (Los Angeles, California, United States)

# publications[].label
Evaluating Domain-Independent Small Talk Conversations to Improve Clinical Communication Interaction for Human and Machine

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Middle-Aged and Older African Americans' Information Use During the COVID-19 Pandemic: An Interview Study.

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An Interactive Game for Changing Youth Behavior Regarding E-cigarettes

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Texas Public Agencies Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach (Preprint)

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Culture and health reporting: a comparative content analysis of newspapers in the United States and China.

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Understanding women's stories about drinking: implications for health interventions.

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"Down the Rabbit Hole" of Vaccine Misinformation on YouTube: Network Exposure Study

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What Do Social Media Influencers Say about Health? A Theory-Driven Content Analysis of Top Ten Health Influencers' Posts on Sina Weibo.

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Cultural adaptation in HPV vaccine intervention among racial and ethical minority population: a systematic literature review.

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Exploring the Early Adoption of Open AI among Laypeople and Technical Professionals: An Analysis of Twitter Conversations on #ChatGPT and #GPT3

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Health Information Consumption under COVID-19 Lockdown: An Interview Study of Residents of Hubei Province, China.

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The stigmatization of suicide: A study of stories told by college students in China.

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Portrayals of Mental Illnesses in Women's and Men's Magazines in the United States

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Persistent Invisibility and Stereotyping as Forms of Mental Illness Stigma: A Spanish and English Cross-Language Content Analysis of Mental Illness Portrayals on YouTube Television

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Experimenting with a Prototype Interactive Narrative Game to Improve Knowledge and Beliefs for the HPV Vaccine.

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Social Media and the Public Sphere in China

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What Causes Postpartum Depression and How to Cope with It: A Phenomenological Study of Mothers in China.

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Managing government legitimacy during the COVID-19 pandemic in China: a semantic network analysis of state-run media Sina Weibo posts

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Postpartum Depression and Social Support in China: A Cultural Perspective.

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Texas Public Agencies' Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach.

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Narratives About Mental Illnesses in China: The Voices of Generation Y.

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An integral model of collective action in organizations and beyond

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Mechanisms of mental illness anti-stigma messaging matter: Leveraging mental health communication inequities among Latinx populations to understand what works and what we can do better.

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Egyptian Newspapers Coverage of COVID-19 Vaccines: A Theoretically Driven Content Analysis.

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The spread of COVID-19 vaccine information in Arabic on YouTube: A network exposure study.

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Corporate Social Responsibility Communication Through Corporate Websites: A Comparison of Leading Corporations in the United States and China

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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models (Preprint)

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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

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Rise of Health Consumerism in China and Its Effects on Physicians' Professional Identity and the Physician-Patient Relationship and Communication.

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TV Advertising, Corporate Power, and Latino Health Disparities.

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Representation of autism in leading newspapers in china: a content analysis.

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Medical artificial intelligence ethics: A systematic review of empirical studies.

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How gay men's wives in China practice co-cultural communication: Culture, identity, and sensemaking

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Sun Exposure, Tanning Beds, and Herbs That Cure: An Examination of Skin Cancer on Pinterest.

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Chinese gay men's coming out narratives: Connecting social relationship to co-cultural theory

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Self-disclosure and received social support among women experiencing infertility on reddit: A natural language processing approach

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The CDC and State Health Department Facebook Messages: An Examination of Frames and the Extended Parallel Processing Model

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Understanding Public Perceptions of Measles from Twitter Using Multi-Task Convolutional Neural Networks.

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Social media and outbreaks of emerging infectious diseases: A systematic review of literature.

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Be aware of superbugs: Newspaper coverage of NDM-1 in India, UK, and the USA

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How colour and visual complexity affect the evaluation of skin cancer infographics: an experiment study.

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"My Body is Betraying Me": Exploring the Stigma and Coping Strategies for Infertility Among Women Across Ethnic and Racial Groups.

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Health Information Scanning and Seeking in Diverse Language, Cultural and Technological Media across Latinx Adolescent Mental Health: A Cross-Sectional Study (Preprint)

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Communication Policy to Reduce Health Disparities: A Cross-Language Content Analysis of YouTube Television Advertising.

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Enhancing AI Ethics Education: Developing a VR Application to Teach Ethical Principles and Practices to AI Researchers

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Exploring Emotional Contagion and Reciprocity Between Social Media Influencers and Followers: A Content Analysis of Autobiographic Content About Depression and Comments on Douyin

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Effectiveness of health messages to change women's thin-ideal and unhealthy weight control intentions: Connecting social norms and social networks approaches

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Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling.

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PROMOTING CANCER SCREENING AMONG RURAL AFRICAN AMERICANS: A SOCIAL NETWORK APPROACH.

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Down the Rabbit Hole of Vaccine Misinformation on YouTube: Network Exposure Study (Preprint)

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All pins are not created equal: communicating skin cancer visually on Pinterest.

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Media Use During COVID-19: An Investigation of Negative Effects on the Mental Health of Asian Versus White Americans

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Communication studies of corporate social responsibility

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Media-Based Health Information Seeking Behaviors Among Latinx Populations in the United States

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My Story of Depression: A Content Analysis of Autobiographic Videos on Douyin.

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The stigma of autism in china: an analysis of newspaper portrayals of autism between 2003 and 2012.

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Corporate social responsibility communication of Chinese and global corporations in China

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PHYSICAL AND MENTAL HEALTH INFORMATION-SEEKING BEHAVIORS AMONG US-BASED LATINO ADULTS AGES 5086

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What Satisfies Parents of Pediatric Patients in China: A Grounded Theory Building Analysis of Online Physician Reviews.

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CRENO: An ontology to model concepts relating to culture, race, ethnicity, and nationality for health data.

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VaxBot-HPV: a GPT-based chatbot for answering HPV vaccine-related questions.

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Media discourse of corporate social responsibility in China: a content analysis of newspapers

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Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling

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The Recreation of Gender Stereotypes in Male Cross-Dressing Performances on Douyin

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Exploring dialectical tensions for institutional maintenance: A case of google and its censored chinese search engine

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Measuring media-related health and mental health information acquisition among Latino adults in the United States.

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What do we believe in? Rumors and processing strategies during the COVID-19 outbreak in China.

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Using a Machine Learning Approach to Monitor COVID-19 Vaccine Adverse Events (VAE) from Twitter Data.

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Sensemaking during a pandemic: A semantic network analysis of COVID-19 and vaccine-related discussion on Reddit

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Twitter message types, health beliefs, and vaccine attitudes during the 2015 measles outbreak in California.

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Examining Health Information Scanning and Seeking across Diverse Language, Cultural and Technological Media among Latinx Adolescents (Preprint)

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Tweeting about measles during stages of an outbreak: A semantic network approach to the framing of an emerging infectious disease.

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'Picture me heart disease free': understanding African Americans' cardiovascular disease experiences through a culture-centered approach

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Tensions of Health: Narratives of Employee Wellness Program Participants.

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Unraveling Public Health Crises Across Stages: Understanding Twitter Emotions and Message Types During the California Measles Outbreak

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Constructing A Conversation-First Dialogue Model for Comprehensive, Evidence-Based Counseling for HPV Vaccination for Young Adults

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Translating motivational interviewing for the HPV vaccine into a computable ontology model for automated AI conversational interaction.

# publications[].publisher
Association for Computing Machinery (ACM)

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The representation of the Chinese product crisis in national and local newspapers in the United States

# streetAddress
Texas A&M University; Communication; 4234 TAMU

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Can Social Media Inform Public Health Efforts?

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New Texas A&M lab works to eliminate bias in artificial intelligence and machine learning

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Texas A&M communications experts reveals how to talk about COVID vaccines so people will listen