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Dror Walter, Ph.D., is an Assistant Professor of Digital Communication at Georgia State University. His research, centered on the intersection between traditional media effects theories and novel computational social science methods, has been published in journals including the Journal of Communication, Journalism, Political Communication, Health Communication, Information Communication and Society, Mass Communication and Society, Communication Methods and Measures, Social Science and Medicine, and the American Journal of Public Health. His research addresses the ways computational methods such as network analysis, unsupervised machine learning, and supervised machine learning can aid our understanding of two interrelated research domains: extremist political communication, and health-related misinformation. From a methodological point of view, his research has focused on developing unsupervised machine learning approaches for frame analysis of traditional mass media and social media content, the measurement of thematic diversity in discourse, and methods of identification of discursive communities in social networks. He received his Ph.D. in 2018 from the Annenberg School for Communication, University of Pennsylvania.

Curriculum Vitae Website