
Frank Waddell, Ph.D.
Associate Professor - Department of Journalism
Office: 3067 Weimer
Phone: 352-294-1627
Email: frank.waddell@ufl.edu
Frank Waddell, Ph.D.
Associate Professor - Department of Journalism
Dr. T. Franklin Waddell is an associate professor in the Department of Journalism at the University of Florida’s College of Journalism and Communications.
His current research interests are at the intersection of new technology and online storytelling including work related to automated news, the psychology of online comments, and the effects of social television.
Dr. Waddell’s research has been published in a variety of journals including first author articles at Journalism and Mass Communication Quarterly, New Media & Society, Journal of Broadcasting & Electronic Media, Communication Monographs, Digital Journalism, Journalism Studies, Electronic News, Journal of Media Psychology, International Journal of Communication, Psychology of Popular Media Culture, Cyberpsychology, Behavior, and Social Networking, and ACM CHI, among other outlets. His work has also earned top paper honors at divisions of the Association for Education in Journalism and Mass Communication.
Dr, Waddell teaches graduate and undergraduate classes in research methods, communication theory, and mass communication statistics. In 2017, he was awarded for “Outstanding Service on Behalf of Graduate & Professional Students” by the University of Florida Graduate Student Council. In 2018, he was awarded the “Excellence Award for Assistant Professors” at the University of Florida.
Areas of Expertise
Artificial Intelligence (AI), Communication Technology, Disinformation / Misinformation, Media Psychology and Media Effects, Trust
Education
Ph.D., Mass Communication, Pennsylvania State University, 2016
M.A., Communication, Virginia Tech, 2012
B.A., Communication, Virginia Tech, 2010
News
- Four UFCJC Faculty Included in 2024 Stanford Top 2% Scientists List (October 7, 2024)
- Frank Waddell Receives KTA Research Grant to Investigate Audience Expectations for AI-Generated News (October 19, 2023)
- Frank Waddell Named a 2020 Journal of Media Psychology Distinguished Reviewer (March 31, 2021)
- Frank Waddell Receives Mass Communication and Society Top Reviewer Award (July 7, 2020)
- Frank Waddell Receives JMCQ 2019 Article of the Year Award (May 29, 2020)
- All News About Frank Waddell
Publications
Selected Publications
Waddell, F., Overton, H., & McKeever, R. (2022). Does sample source matter for theory? Testing model invariance with the influence of presumed influence model across Amazon Mechanical Turk and Qualtrics Panels. Computers in Human Behavior. DOI: 10.1016/j.chb.2022.107416
Waddell, T. F. (2020). Do press releases about digital game research influence presumed effects? How details about methodology and references to societal violence affect the anticipated influence of violent video games. Mass Communication & Society, 23(3), 400-420. DOI: 10.1080/15205436.2019.1672751
Waddell, T. F., & Sundar, S. S. (2020). Bandwagon effects in social television: How audience metrics related to size and opinion affect the enjoyment of digital media. Computers in Human Behavior, 107. DOI: 10.1016/j.chb.2020.106270
Waddell, F. (2019). Can an algorithm reduce the perceived bias of news? Testing the effect of machine attribution on news readers’ evaluations of bias, anthropomorphism, and credibility. Journalism & Mass Communication Quarterly.
Waddell, F. (2018). A robot wrote this? How perceived machine authorship affects news credibility. Digital Journalism. DOI: 10.1080/21670811.2017.1384319
Research
Research Keywords
Online News, Automated Journalism, Social Television, Media Violence
Research Areas
- Media Effects, Media Psychology
Courses
Syllabi from the current and three previous semesters:
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MMC 6455 - Mass Communication Statistics - Spring 2025 (PDF)
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MMC 6936 - Experimental Design and Analysis - Spring 2025 (PDF)
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MMC 6455 - Mass Communication Statistics - Fall 2024 (PDF)
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MMC 6457 - Mass Communication Statistics 2 - Fall 2024 (PDF)
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MMC 6457 - Mass Communication Statistics 2 - Fall 2024 (PDF)
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MMC 6455 - Mass Communication Statistics - Spring 2024 (PDF)
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MMC 6455 - Mass Communication Statistics - Fall 2023 (PDF)
-
MMC 6457 - Mass Communication Statistics 2 - Fall 2023 (PDF)
Research Keywords
Online News, Automated Journalism, Social Television, Media Violence
Research Areas
- Media Effects, Media Psychology
Courses
Syllabi from the current and three previous semesters:
- MMC 6455 - Mass Communication Statistics - Spring 2025 (PDF)
- MMC 6936 - Experimental Design and Analysis - Spring 2025 (PDF)
- MMC 6455 - Mass Communication Statistics - Fall 2024 (PDF)
- MMC 6457 - Mass Communication Statistics 2 - Fall 2024 (PDF)
- MMC 6457 - Mass Communication Statistics 2 - Fall 2024 (PDF)
- MMC 6455 - Mass Communication Statistics - Spring 2024 (PDF)
- MMC 6455 - Mass Communication Statistics - Fall 2023 (PDF)
- MMC 6457 - Mass Communication Statistics 2 - Fall 2023 (PDF)