Maria Molina
Assistant Professor of Advertising and Public Relations Michigan State University
- East Lansing MI
Maria Molina's research explores the social and psychological implications of sharing online.
Media
Biography
Maria studies online persuasion in the context of digital health, fake news, and online privacy using a combination of experimental and computational approaches. Her research explores the social and psychological implications of sharing online, focusing on how technology shapes what we share on social media, and how we respond to artificial intelligence tools that curate user-generated content.
Industry Expertise
Areas of Expertise
Accomplishments
Excellence in Communications Doctoral Award, Dr. Marie Hardin and Mr. Jerry Kammer
2019
Third Place Student Research Competition, CHI Conference on Human Factors in Computing Systems.
2019
AEJMC News Audience Research Paper Award, Association for Education in Journalism and Mass Communication
2019
Education
West Texas A&M University
B.A.
Mass Communications-Broadcasting and Speech Communication
2012
New Mexico State University
M.A.
Communication Studies
2014
Pennsylvania State University
Ph.D.
Mass Communications
2020
Affiliations
- Association for Computing Machinery (ACM)
- ACM Special Interest Group on Computer-Human Interaction (SIGCHI)
- International Communication Association (ICA)
Event Appearances
Seeing is believing: Is video modality more powerful in spreading Fake News via online messaging apps?
103rd annual conference of the Association for Education in Journalism and Mass Communication (AEJMC) San Francisco, CA
Moderating harmful online content: Can collaboration between AI and humans enhance trust and acceptance of content classification systems?
71th annual conference of the International Communication Association (ICA)
Can fitness applications increase physical activity? a novel application of propensity score matching in testing the effects of technological affordances on self-reported physical activity change?
72nd annual conference of the International Communication Association (ICA)
Journal Articles
Reading, Commenting and Sharing of Fake News: How Online Bandwagons and Bots Dictate User Engagement
Communication Research2022
Do social media users read, comment, and share false news more than real news? Does it matter if the story is written by a bot and whether it is endorsed by many others? We conducted a selective-exposure experiment (N = 171) to answer these questions. Results showed that real articles were more likely to receive “likes” whereas false articles were more likely to receive comments.
Motivating Learning Through Digital Apps: The Importance of Relatedness Satisfaction
International Journal of Human–Computer Interaction2022
The use of ICTs to enhance education is challenging, especially when institutions lack the resources to build efficient technologies. The use of ICTs, however, can facilitate processes and communication—elements that are essential to create a supportive school environment and enhance student learning motivation.
Do people believe in misleading information disseminated via memes? The role of identity and anger
New Media & Society2023
Do people believe in misleading information disseminated via contemporary Internet memes? Do they believe in it more compared with information provided via text? This research explores these questions via a 3 (modality: contemporary internet meme vs text-only vs text-with-explanation) × 2 (identity-congruence: congruent vs incongruent) between-subject online experiment, using two contexts of investigation (crime and taxes).
Motivation to Use Fitness Application for Improving Physical Activity Among Hispanic Users: The Pivotal Role of Interactivity and Relatedness
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems2023
Is the current state of fitness applications effective at motivating and satisfying the needs of Hispanic users? With most mHealth research conducted with a predominantly white population, the answer to this question is lacking. In this study, we address this question through a survey study with Hispanic users of fitness applications (N= 211) and use the Motivational Technology Model (MTM) and Self-Determination Theory (SDT) as theoretical frameworks.
One AI Does Not Fit All: A Cluster Analysis of the Laypeople’s Perception of AI Roles
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems2023
Artificial intelligence (AI) applications have become an integral part of our society. However, studying AI as one entity or studying idiosyncratic applications separately both have limitations. Thus, this study used computational methods to categorize ten different AI roles prevalent in our everyday life and compared laypeople’s perceptions of them using online survey data (N = 727).
