معرفی
Rodrigo Zamith is an Associate Professor and Chair of the Journalism Department at the University of Massachusetts Amherst. He is also a Faculty Associate of UMass' Computational Social Science Institute and a Faculty Affiliate of its Department of Communication. His work bridges journalism and technology, focusing on the evolving media landscape and digital research methods for social scientists.
Dr. Zamith received his academic training from:
- Ph.D. in Mass Communication from the University of Minnesota
- M.S. in Mass Communication from Florida International University
- B.A. in Journalism from the University of Minnesota
Rodrigo Zamith's research interests focus on the intersection of journalism and technology, examining how digital platforms and algorithms reshape news production and consumption. His work explores news innovation, emerging media technologies, data-driven news work, algorithms in journalism, and computational social science. He investigates how journalistic practices are reconfigured in digital environments and develops innovative digital research methods for studying media phenomena. His scholarship draws on theoretical frameworks from sociology, psychology, science & technology studies, and economics, employing both quantitative and qualitative methodologies.
His recent publications demonstrate a clear trajectory examining the role of algorithms, data, and digital platforms in journalism. His work spans computational analyses of news recommendation systems, examinations of open-source infrastructure in newsrooms, studies of visual climate change communication on social media, and investigations into how journalists navigate audience metrics. His research reveals both the challenges and opportunities presented by technological change in journalism, with particular attention to issues of transparency, trust, and democratic implications.
Dr. Zamith has received significant recognition for his scholarly contributions:
- Nafziger-White-Salwen Dissertation Award (best dissertation in mass communication)
- Finalist for the Gene Burd Dissertation Award
- Finalist for Digital Journalism's Article of the Year award
- Lilly Teaching Fellow
- FlexLearning Fellow
- Recipient of UMass' College Outstanding Teaching Award
- Finalist for the University's Distinguished Teaching Award
As an educator, Dr. Zamith teaches both conceptually-oriented and skills-oriented courses including Data-Driven Storytelling, Introduction to Journalism, International Journalism, Content Analysis, and Introduction to Visual Storytelling. His teaching excellence has been recognized through multiple awards. While specific grant information isn't detailed in the provided text, his research output suggests active engagement with funding opportunities in computational social science and digital journalism.
Dr. Zamith is affiliated with UMass' Computational Social Science Institute, where he contributes to interdisciplinary research on digital methods. His work with GitHub repositories suggests engagement with open-source communities, and his research on newsroom technology indicates connections with media organizations exploring digital innovation.
