Karikarn (Kay) Chansiri
Researcher -- Data Analytics
Dr. Karikarn (Kay) Chansiri is a Researcher in data analytics and predictive modeling at Chapin Hall. Chansiri has a multidisciplinary and global background in data science, public health, digital media, prevention science, and medical science. Her research expertise is emerging technology-based intervention and big data-driven e-health intervention design and evaluation to improve health disparities and the well-being of at-risk youth and families. Chansiri’s methodological expertise ranges from qualitative to quantitative and computational approaches, such as machine learning and data visualization. Her current projects emphasize applying machine learning algorithms to inform the design and evaluation of residential care and youth homelessness programs and relevant communication strategies.
Before joining Chapin Hall, Chansiri’s work emphasized human-computer interaction for health and wellness, the impacts of emerging technology on health attitudinal and behavioral changes, and e-health intervention design and testing to promote healthy behaviors. Chansiri’s research has integrated marginalized populations, such as people with disabilities, victims of domestic violence, third-world countries populations, and racial and ethnic minorities, and explored their interactions with various emerging technological platforms, ranging from online message boards to social media and virtual reality.
Chansiri has a PhD in Communication and Media Studies from the University of Oregon. She also has a Master of Education in Prevention Science from the University of Oregon and a Master of Arts in International Journalism from Birmingham City University in the U.K. She earned her Bachelor of Science in Medical Science from Prince of Songkla University, Thailand.
Postdoctoral Training in Public Health, Temple University
PhD in Communication and Media Studies, University of Oregon
Master of Education in Prevention Science, University of Oregon
Master of Arts in International Journalism, Birmingham City University, U.K.
Bachelor of Science in Medical Science, Prince of Songkla University, Thailand
Chansiri, K., & Wongphothipan, T. (2022). The effects of narrative- versus science-oriented messages on parents’ attitudes towards MMR vaccines. Presentation at the International Communication Association, Virtual Conference.
Chansiri, K., & Wongphothiphan, T. (2021). Childhood trauma-informed messages improved social information processing among battered women with borderline personality disorder symptoms and unhealthy attachment styles. Presentation at the Association for Education in Journalism and Mass Communication, Virtual Conference.
Chansiri, K., & Wongphothiphan, T. (2020). Multiple moderated mediation: The indirect effects of social media exposure on women’s self-esteem. Presentation at the International Communication Association, Virtual Conference.
Chansiri, K., Wongphothipan, T., Guldin, R., & Cano, M.A. (2019). Are females with high impulsivity traits more prone to media effects on risky sexual health? Presentation at The University of Oregon Grad Student Research Forum, Eugene, OR.
Chansiri, K., & Shafer, A. (2018). Sociocultural predictors of mental health attitudes in Thailand. Presentation to the International Association of Media and Communication Research, Eugene, OR.
Chansiri, K., & Wongphothiphan, T. (2018). Web analysis: Dermatological patients’ attitudes towards isotretinoin. Presentation to the International Communication Association, Prague, Czech Republic.
Ofori-Parku, S., & Chansiri, K. (2018). The less skeptical green consumers: The relationship between green skepticism and green consumerism in greenwashing. Presentation to the International Communication Association, Prague, Czech Republic.
Grabow, A. P., Chansiri, K., O’Brien, K., & Hammond, M. (2018). Cyberbullying and unhealthy eating in adolescence: Are impulsive and depressed youth more vulnerable? Presentation to The University of Oregon Grad Student Research Forum. Eugene, OR.
Chansiri, K., Wongphothipan, T., & Shafer, A. (2018). Comparing the effects of #Fitspiration and #Thinspiration Instagram images on college females’ sexual behaviors. Presentation to the Kentucky Conference on Health Communication, Lexington, KY.
Chansiri, K. (2017). The effects of diet and fitness online communities on Thai females’ exercising and eating behaviors. Presentation to the International Communication Association, San Diego, CA.
Chansiri, K. (2017). Ideal body image and mental health in Thailand. Presentation to the Association for Education in Journalism and Mass Communication (Midwinter Conference), Norman, OK.
Chansiri, K., & Autumn, S. (2017). Western media influence mental illness stigma in Southeast Asia (speaker). What is Universe? Portland, OR.
Kappa Tau Alpha, 2021 (National society honoring excellence scholarship in digital media and mass communications)
Siminoff, A., Chansiri, K., Alolod, G., Gardiner H. (2022). Social media intervention effectiveness in promoting organ donation awareness among Asian Americans. Journal of Health Communication. doi:10.1080/10810730.2022.2119445
Ofori-Parku, S. S., & Chansiri, K. (2022; preprint). Reaching back to our roots: Effectiveness of and explanation for nostalgia as a digital advertising strategy. Journal of Business Research. doi: 10.2139/ssrn.4050428
Chansiri, K., & Wongphothiphan, T. (2021). The indirect effects of Instagram images on women’s self-esteem: The moderating roles of BMI and perceived weight. New Media & Society. doi:10.1177/14614448211029975
Chansiri, K., Wongphothiphan, T., & Shafer, A. (2020). The indirect effects of Thinspiration and Fitspiration images on young women’s body image and sexual attitudes. Communication Research. doi: 10.1177/009365022095223168-79
Chansiri, K., Wongphothiphan, T., & Shafer, A. (2019). Dying for clear skin: A Health-Belief-Model-informed content analysis of acne sufferers’ beliefs toward isotretinoin on message boards. Journal of Communication in Healthcare, 12(1), 68-79. doi: 10.1080/17538068.2019.1572351
Davis, D. Z., & Chansiri, K. (2018). Digital identities – overcoming visual bias through virtual embodiment. Information, Communication & Society, 22(4), 491–505. doi:10.1080/1369118x.2018.1548631 (*funded by the National Science Foundation)