Matthew Brook O'Donnell, Ph.D.
- Research Associate, Communication Neuroscience Lab
- Lecturer, Annenberg Undergraduate Program
O'Donnell’s research background includes corpus linguistics, natural language processing, and data mining with a focus on extracting linguistic patterns and networks from large textual databases (or corpora). He is interested in combining linguistic analyses of media language and persuasive discourse with behavioral and neuroscience approaches.
“Adolescent Neural Responses to Anti-Smoking Messages, Perceived Effectiveness, and Sharing Intention.” Media Psychology, 2018.
“The Value of Sharing Information: A Neural Account of Information Transmission.” Psychological Science, 2017.
“Predicting Behavior Change From Persuasive Messages Using Neural Representational Similarity and Social Network Analyses.” Neuroimage, 2017.
“Brain Connectivity Dynamics During social Interaction Reflect Social Network Structure.” PNAS, 2017.
“A Neural Model of Valuation and Information Virality.” PNAS, 2017.
“Self-Transcendent Values and Neural Responses to Threatening Health Messages.” Psychosomatic Medicine, 2017.
“Neural Bases of Recommendations Differ According to Social Network Structure.” Social Cognitive and Affective Neuroscience, 2017.
“Functional Brain Imaging Predicts Public Health Campaign Success.” Social Cognitive and Affective Neuroscience, 2016.
- COMM 2550 Foundations in Data Science for Communication
- COMM 3130 (formerly 313) Computational Text Analysis for Communication Research
- COMM 3180 (formerly 318) Stories From Data: Introduction to Programming for Data Journalism
Annenberg Presentations at ICA 2022
The International Communication Association will be hosting a hybrid conference this year with the in-person sessions in Paris.