Status Affiliate Faculty
Home Charles H. Sandage Department of Advertising
Fisher received a B.A. in arts and letters and M.A. in mass communication from Texas Tech University; he received his Ph.D. in communication from the University of California, Santa Barbara. While at UCSB, he conducted research in the Media Neuroscience Lab and the National Science Foundation IGERT in Network Science and Big Data.
His course specialties are Advertising and Brand Strategy and Digital Advertising Content, Technologies, and Concepts.
- Top 5 Paper Award, International Communication Association Mobile Communication Division (2021)
- Top 5 Paper Award. International Communication Association Communication Science & Biology Interest Group (2021)
- Top 5 Paper Award, National Communication Association Social Cognition Division (2020)
- Dean's Graduate Mentorship Award, University of California Santa Barbara (2020)
- Top 5 Paper Award, National Communication Association, Social Cognition Division (2020)
- Top 5 Paper Award, International Communication Association, Communication Science & Biology Interest Group (2020)
- Top 5 Paper Award, International Communication Association, Computational Methods Division (2020)
- Top 5 Paper Award, National Communication Association, Social Cognition Division (2019)
- James J. Bradac Award for Excellence in Research, University of California, Santa Barbara (2019)
- Kavli Institute for Cognitive Neuroscience Fellowship, University of California, Santa Barbara (2019)
- Top Reviewer, International Communication Association, Communication Science & Biology Interest Group (2019)
- Top 5 Paper Award, International Communication Association, Computational Methods Division (2019)
Fisher's research at the Beckman Institute takes place at the intersection of communication, cognitive neuroscience, and human-computer interaction. He seeks to understand how design and content features of digital technologies influence processes related to attention and cognitive control.
He uses state-of-the-art brain imaging technologies like fMRI and EEG, as well as behavioral and computational methods, to investigate how cognitive load, perceptual load, and reward in digital environments influence attention-related brain activation and behavior, as well as how technology habits influence attentional control.
He also conducts research in the domain of moral messaging, seeking to understand how morally-charged content uniquely motivates attention and action at the individual and societal levels. This project leverages tools from computational social science, including natural language processing, machine learning, and big data.
Ultimately, his research group aims to develop and deploy digital media technologies that help users resist distraction, achieve their goals, and direct their attention in more effective ways.
- Fisher, J.T., Hopp, F.R., Weber, R. (2021). Network neuroscience: a practical introduction for communication researchers. Communication Methods & Measures. 15, 60-71
- Hopp, F.R., Fisher, J.T., & Weber, R. (2020). A graph learning approach for detecting moral conflicts in movie scripts. Media & Communication. 8(3), 164-179
- Parry, D., Davidson, B., Sewall, C., Fisher, J.T. , Mieczkowski, H., Quintana, D. (2021). Measurement discrepancies between logged and self-reported digital media use: A systematic review and meta-analysis. Nature Human Behaviour.
- Hopp, F.R., Fisher, J.T., & Weber, R. (2020) Integrating news framing, dynamic-transactional paradigms, and computational modeling: An examination of the dynamic relationship between news frames and real-world events. Journal of Communication. 70(3), 335-355.
- Hopp, F.R., Fisher, J.T., Cornell, D., Huskey, R., & Weber, R. (2020). The extended moral foundations dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text at scale. Behavior Research Methods. Published online ahead of print.