Dr. Ye Wang is Professor and Chair of the Department of Communication and Journalism. Her publications focus on interactivity and engagement on websites and social media. She has been published in top journals like Journal of Business Research, Journal of Health Communication, Journal of Product & Brand Management, Health Education & Behavior, etc. Dr. Wang has been collaborating with data scientists on human-AI approaches to extracting consumer insights using computational methods from unstructured text data such as social media content. She was awarded the Research Fellowship of the American Academy of Advertising twice (2017 and 2020). She is a co-PI of NSF's Open Collaborative Experiential Learning (OCEL.AI) project. Dr. Wang is also an affiliate faculty member with UMKC's Center for Digital and Public Humanities and the School of Science and Engineering.
Awards:
2021 The Best Paper Award of the Special Topics Paper Competition of the Advertising Division, the 2021 conference of the Association for Education in Journalism and Mass Communication
2020 The Research Fellowship of the American Academy of Advertising (AAA), “Veracity and Value of Big Data and Trust in Interdisciplinary Research on Content-Based Metrics for Advertising”
2017 The Research Fellowship of the American Academy of Advertising (AAA), “Dialogic Engagement with Product Placement in Virtual Reality Films on Social Media”
Grants:
“ABCDesign and UMKC Egghead,” 2021 UMKC Entrepreneurship Innovation Program Recipient
Health Communication Research for the Eastside Vaccination Project, funded by Jackson County, Missouri
CUE Ethics: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science
Source of Support: National Science Foundation Communities in Action: Sustainable Science in Cyberinfrastructure
Source of Support: Funding for Excellence, University of Missouri, Kansas City Enhancing minority experience in STEM, Funded by The College of Arts and Science, UMKC (January 20, 2020)
Selected publications:
Li, Y., & Wang, Y. (2022). Native Advertising on News Websites: The Impacts of Media Organizational Factors on Disclosure Clarity. Digital Journalism, 1-22. (Impact Score: 4.476)
Wang, Y., Nagireddy, S. R., Thota, C.T., Ho, D. H., and Lee, Y. (2022). Community-in-the-loop: Creating Artificial Process Intelligence for Co-production of City Service. Proceedings of the ACM on Human-Computer Interaction. (Impact Score: 4.42)
Liang, B., & Wang, Y. (2021). Conceptualizing an ecological model of Google search and Twitter data in public health. In Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics (pp. 185-202). Springer, Cham.
Wang ,Y., & Chen, H. (2020). Self-presentation and interactivity: Luxury branding on social media. Journal of Product & Brand Management. (Impact factor: 4.16).
Wang, Y., & Chen, H. (2019). The influence of dialogic engagement and prominence on visual product placement in virtual reality videos. Journal of Business Research. (Impact factor: 4.028)
Bo, L., Wang, Y., & Tsou, M. (2019). A “fitness” theme may mitigate regional prevalence of overweight and obesity: Evidence from Google search and Tweets. Journal of Health Communication, DOI: 10.1080/10810730.2019.1657526. (Impact factor: 1.648)
Wang, Y., & Qiao, F. (2019) The symbolic meaning of luxury-lite fashion brands among younger Chinese consumers. Journal of Fashion Marketing and Management. (Impact Factor: 1.645)
Willis, E. & Wang, Y. (2016). Blogging the brand: Meaning transfer and the case of Weight Watchers’ online community. Journal of Brand Management, 23(4), 457-471. (Impact factor: 1.829)
Wang, Y., & Willis, E. (2016). Examining theory-based behavior-change constructs, social interaction, and sociability features of the Weight Watchers’ online community. Health Education & Behavior. DOI: 10.1177/1090198116629415 (Impact factor: 2.396)
Wang, Y., & Willis, E. (2016). Supporting self-efficacy through interactive discussion in online communities of weight loss. Journal of Health Psychology. DOI: 10.1177/1359105316653264 (Impact factor: 2.182)