- Media Influence and Health
- Misinformation and Its Impacts
- Behavioral Health and Interventions
- Smoking Behavior and Cessation
- Computational and Text Analysis Methods
- Social Media and Politics
- Opinion Dynamics and Social Influence
- Impact of Technology on Adolescents
- Sport Psychology and Performance
- Mobile Health and mHealth Applications
- Cloud Computing and Resource Management
- Digital Mental Health Interventions
- Vaccine Coverage and Hesitancy
- Adolescent Sexual and Reproductive Health
- Context-Aware Activity Recognition Systems
- Social Media in Health Education
- Cloud Data Security Solutions
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Child and Adolescent Psychosocial and Emotional Development
- HIV/AIDS Research and Interventions
- Hate Speech and Cyberbullying Detection
- Recommender Systems and Techniques
- Regional Development and Environment
- Media Influence and Politics
University of Wisconsin–Madison
2019-2025
Beijing Technology and Business University
2024
Northeast Agricultural University
2024
Hangzhou Normal University
2023-2024
Jiangxi Science and Technology Normal University
2022-2024
Jiangxi Normal University
2022-2024
North China University of Technology
2024
Beijing Normal University
2023
Beijing University of Posts and Telecommunications
2018-2022
Baidu (China)
2021
Developing intelligent persuasive conversational agents to change people’s opinions and actions for social good is the frontier in advancing ethical development of automated dialogue systems. To do so, first step understand intricate organization strategic disclosures appeals employed human persuasion conversations. We designed an online task where one participant was asked persuade other donate a specific charity. collected large dataset with 1,017 dialogues annotated emerging strategies...
To identify what features of online social networks can increase physical activity, we conducted a 4-arm randomized controlled trial in 2014 Philadelphia, PA. Students (n = 790, mean age 25.2) at an university were randomly assigned to one four conditions composed either supportive or competitive relationships and with individual team incentives for attending exercise classes. The comparison condition placed participants into 6-person incentives. support teams combined both teams, where...
To identify what features of social media - promotional messaging or peer networks can increase physical activity.A 13-week media-based exercise program was conducted at a large Northeastern university in Philadelphia, PA. In randomized controlled trial, 217 graduate students from the University were to three conditions: control condition with basic online for enrolling weekly classes led by instructors 13 weeks, that supplemented messages encourage activity, and replaced content an network...
Abstract Generative Artificial Intelligence (AI) models like DALL·E 2 can interpret prompts and generate high-quality images that exhibit human creativity. Though public enthusiasm is booming, systematic auditing of potential gender biases in AI-generated remains scarce. We addressed this gap by examining the prevalence two occupational (representational presentational biases) 15,300 spanning 153 occupations. assessed bias amplification benchmarking against 2021 U.S. census data Google...
Abstract Background Improving utilization of antenatal care is a critical strategy for achieving China’s Millennium Development Goal decreasing the maternal mortality ratio (MMR). While overall has increased recently in China, an urban vs. rural disparity access remains. Here we aim to assess rural-to-urban migrant women and identify its risk protective factors. Methods Migrant who had been living Shanghai more than six months, delivered one two study hospitals between August 2009 February...
Abstract Social bots, or algorithmic agents that amplify certain viewpoints and interact with selected actors on social media, may influence online discussion, news attention, even public opinion through coordinated action. Previous research has documented the presence of bot activities developed detection algorithms. Yet, how bots attention dynamics hybrid media system remains understudied. Leveraging a large collection both tweets (N = 1,657,551) stories 50,356) about early COVID-19...
Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals provide timely intervention promote health well-beings, such mental chronic cares. As the objectives of mobile sensing could be either \emph{(a) personalized medicine for individuals} or \emph{(b) public populations}, in this work we review design these apps, propose categorize apps/systems two paradigms -- \emph{(i) Personal Sensing} \emph{(ii) Crowd...
A bstract Scholars increasingly use Twitter data to study the life sciences and politics. However, collection tools often pose challenges for scholars who are unfamiliar with their operation. Equally important, although many indicate that they offer representative samples of full archive, little is known about whether indeed targeted population tweets. This article evaluates such in terms costs, training, quality as a means introduce research tool. Further, using an analysis COVID-19 moral...
Abstract Dairy is recognized as a good source of calcium, which important for preventing osteoporosis. However, the relationship between milk and bone health more complex than just calcium supplementation. It unwise to focus solely on observing effects single nutrient. Lactose, proteins, vitamins in milk, well fatty acids, oligosaccharides, exosomes, all work together with enhance its bioavailability utilization efficiency through various mechanisms. We evaluate roles dairy nutrients active...
The present study examined the influence of personality traits on quality C hinese coach–athlete relationship and satisfaction through a dyadic research design. A total 350 dyads completed self‐report instrument that assessed traits, as well perceptions with training. Results revealed that: (a) actor effects (i.e., actor's will predict his or her own quality) namely, conscientiousness, extroversion, neuroticism, both coaches' athletes' (b) partner (an partner's only personality, their...
(2013). A Taxonomy of Communication Networks. Annals the International Association: Vol. 37, Yearbook pp. 95-123.
Previous research shows that pictorial warning messages (PWMs) for tobacco cigarettes increase quit attempts and smoking-related knowledge. However, few studies have investigated what specific features within PWMs are most effective. The current study sought to examine the of associated with effectiveness using four outcome measures as indicators.A sample n=319 was collected underwent systematic content analysis on 48 different features. A n=1392 smokers each rated a subset labels perceived...
Insufficient scientific evidence about electronic cigarettes (e-cigarettes) has led to conflicting recommendations (CRs) by credible organizations, creating a public health debate that could prove especially difficult reconcile as current and former smokers make decisions whether use e-cigarettes. To investigate how CRs e-cigarettes may affect intentions engage in healthy behaviors, 717 were randomly exposed one of five conditions (varying the level conflict recommendations) this...
Theoretical and empirical approaches to the design of effective messages increase healthy reduce risky behavior have shown only incremental progress. This article explores development a “recommendation system” for archives public health messages. Recommendation systems are algorithms operating on dense data involving both individual preferences objective message features. Their goal is predict ratings items (i.e., messages) not previously seen by user content similarity, prior preference...
As pandemic-related mistrust of public health recommendations in rural communities may compound gaps pediatric immunizations, our team explored parents' perceptions trustworthiness messaging.
The present study seeks to evaluate the relationships between cannabis-related communication and outcomes of interest such as risk perceptions, attitudes, behaviors among young adults. Young adults who were at for cannabis use surveyed online in 2020. Results showed that exposure educational messages was associated with higher intentions engaging peer intervention, while advertising related intention cannabis. Anti-cannabis interpersonal discussion increased less favorable a likelihood...
Developing intelligent persuasive conversational agents to change people's opinions and actions for social good is the frontier in advancing ethical development of automated dialogue systems. To do so, first step understand intricate organization strategic disclosures appeals employed human persuasion conversations. We designed an online task where one participant was asked persuade other donate a specific charity. collected large dataset with 1,017 dialogues annotated emerging strategies...