Ph.D., University of Minnesota
Rodrigo Zamith is a media scholar whose research focuses on the reconfiguration of journalism in a changing media environment and the development of digital research methods. From a theoretical perspective, he is interested in the changing nature of news and newswork amid the adoption of new technologies, an influx of technologists into newsrooms, and greater emphasis on data. From a methodological perspective, he is interested in the development of electronic interfaces and algorithms to facilitate and improve scholarly work in a changing research environment, especially with large datasets.
Zamith's research has been published in leading peer-reviewed journals like the Journal of Computer-Mediated Communication, Journalism Studies, and The Annals of the American Academy of Political and Social Science. He is a recipient of the Nafziger-White-Salwen Dissertation Award, which recognizes the best dissertation published in the discipline of mass communication, and a finalist for the Gene Burd Dissertation Award. Zamith has also received a Lilly Teaching Fellowship to promote innovative course design and was a finalist for UMass' Distinguished Teaching Award.
Before joining the faculty at UMass, Zamith received both a Ph.D. in Mass Communication and a B.A. in Journalism from the University of Minnesota, as well as a M.S. in Mass Communication from Florida International University. Zamith is also interested in data visualization and natural language processing, and is an avid soccer fan.
New & Selected Publications
Zamith, R. (2018). Quantified Audiences in News Production: A Synthesis and Research Agenda. Digital Journalism, 6(4), 418-435. https://doi.org/10.1080/21670811.2018.1444999
Zamith, R. (2018). A Computational Approach for Examining the Comparability of 'Most-Viewed Lists' on Online News Sites. Journalism & Mass Communication Quarterly, 95(1), 122-141. https://doi.org/10.1177/1077699017714223
Lewis, S. C., & Zamith, R. (2017). On the Worlds of Journalism. In P. J. Boczkowski & C. W. Anderson (Eds.), Remaking the News: Essays on the Future of Journalism Scholarship in the Digital Age. Cambridge, MA: MIT Press. [link]
Zamith, R. (2017). Capturing and Analyzing Liquid Content: A computational process for freezing and analyzing mutable documents. Journalism Studies, 18(12), 1489-1504. https://doi.org/10.1080/1461670X.2016.1146083
Zamith, R. (2016). On Metrics-Driven Homepages: Assessing the relationship between popularity and prominence. Journalism Studies. Advance online publication. https://doi.org/10.1080/1461670X.2016.1262215
Zamith, R., & Lewis, S.C. (2015). Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis. ANNALS of the American Academy of Political and Social Science, 659(1), 307-318. https://doi.org/10.1177/0002716215570576
Watson, B.R., Zamith, R., Cavanah, S., & Lewis, S. C. (2015). Are Demographics Adequate Controls for Cell Phone-Only Coverage Bias in Mass Communication Research? Journalism & Mass Communication Quarterly, 92(3), 723-743. https://doi.org/10.1177/1077699015589187
Zamith, R., & Lewis, S.C. (2014). From Public Spaces to Public Sphere: Rethinking Systems for Reader Comments on Online News Sites. Digital Journalism, 2(4), 558–574. https://doi.org/10.1080/21670811.2014.882066
Hermida, A., Lewis, S.C., & Zamith, R. (2014). Sourcing the Arab Spring: A Case Study of Andy Carvin's Sources During the Tunisian and Egyptian Revolutions. Journal of Computer-Mediated Communication, 19(3), 479–499. https://doi.org/10.1111/jcc4.12074