Yotam Ophir’s research focuses on media effects and persuasion, combining novel computational tools for automated content analysis, such as machine learning, topic modeling, and network analysis, with experimental and survey designs, to study media content and its effects on audiences.
Yotam Ophir (PhD, University of Pennsylvania, 2018) studies media effects, persuasion, misinformation, conspiracy theories and extremism. His work combines computational methods for text mining, network analysis, experiments and surveys to study media content and effects in the areas of political, science, and health communication.
Dr. Ophir authored and co-authored more than 40 peer-review academic papers, published in journals such as the Proceedings of the National Academy of Sciences (PNAS), American Journal of Public Health, Health Security, Tobacco Regulatory Science, Risk Analysis, PLoS One, Journal of Communication, Communication Research, Public Understanding of Science, Journal of Public Health, Health Communication, Communication Methods and Measures, and more. His coauthored book on the 2020 Presidential Elections in light of COVID-19, “Democracy amid Crises: Polarization, Pandemic, Protests, & Persuasion” was published in 2022 by Oxford University Press. His book “Misinformation & Society” is expected 2024.
Dr. Ophir is the head of the Media Effects, Misinformation, and Extremism (MEME) lab at the University at Buffalo, a member of the Center for Information Integrity (CII) at the University at Buffalo, and a distinguished fellow at the Annenberg Public Policy Center at the University of Pennsylvania.