Maria D. Molina

Maria Molina

Assistant Professor

Department
  • Advertising + Public Relations
molinad2@msu.edu
Download CV

Bio

Maria D. Molina is an Assistant Professor in the Department of Advertising & Public Relations. She received her PhD in Mass Communications from The Pennsylvania State University.

Her research examines online persuasion in the contexts of digital health, misinformation, and online privacy. Broadly, her work focuses on the role of technological affordances in shaping user attitudes and behaviors. Specifically, her research centers on: (1) how technological affordances motivate socially beneficial behaviors such as learning and engaging in physical activity; (2) how platform and design features facilitate the sharing of negative or harmful content; and (3) how users respond to AI-driven tools that act as sources of communication, such as systems that filter user-generated content or generate content on users’ behalf.

Dr. Molina’s current research is supported by a National Science Foundation CAREER grant examining how the affordances of Generative AI (GenAI) chatbots shape users’ privacy decision-making and how AI systems can be designed using privacy-by-design principles. 

Her research has been published in leading human–computer interaction venues, including CHI (CHI conference on Human Factors in Computing Systems), as well as top mass communication journals such as New Media & Society and Journal of Computer-Mediated Communication.

Research and Teaching

  • Sharing Online
  • Psychology of Human-Computer Interaction
  • AI-Human Interaction
  • Media Effects
  • Social Media
  • Digital Health
  • Fake News
Thematic Research Areas
Research Centers and Labs

Health and Risk Communication Center

Recent Publications

Meshi, D., & Molina, M.D. (2025). Problematic social media use is associated with believing in and engaging with fake news. PLoS One. (2023 Impact Score: 3.33, Quartile 1 Multidisciplinary)

Molina, M. D. (2025). Do people believe in misleading information disseminated via memes? The role of identity and anger. New Media & Society, 27 (2), 847-870. https://doi.org/10.1177/14614448231186061 (2023 Impact Score: 6.55, Quartile 1 Communication)

Molina, F., Molina, M. D., & Molina, C. (2025). Motivating learning through digital apps: The importance of relatedness satisfaction. International Journal of Human–Computer Interaction, 41 (1) 1-15. https://doi.org/10.1080/10447318.2022.2097777 (2023 Impact Score: 5.86, Quartile 2 Human-Computer Interaction, Quartile 1 Human Factors and Ergonomics)

Molina, M. D. & Sundar, S.S. (2024). Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation. New Media & Society, 26(6), 3638–3656. https://doi.org/10.1177/14614448221103534  (2023 Impact Score: 4.5, Quartile 1 Communication)

 

 

 

 

Contact Information

Email: molinad2@msu.edu

404 Wilson Rd, Room 330
Communication Arts and Sciences Building
Michigan State University
East Lansing, MI 48824