Michael Beam, Ph.D. is an assistant professor in the School of Communication Studies at Kent State University. His research investigates the impact of media systems on the process of information creation, exposure, and processing. His research has focused on the impact of information systems using personalized algorithms on news exposure and health communication, the influence of partisan media sources on political polarization and political information processing, and how new media systems change information distribution patterns. His research has been published in peer-reviewed journals including Communication Research, Journalism and Mass Communication Quarterly, New Media & Society, and the Journal of Health Communication.
Michael teaches courses in new communication technologies, media effects, and quantitative research methods.
His interest in communication research stems from his experience working in media and information technology. Before entering academia, he spent over a decade working as a computer system administrator and network technologist. He also has worked in community radio for over 15 years and produces a weekly radio show and podcast, The Beat Oracle. More information is available on his website.
Scholarly, Creative and Professional Activities
Hmielowski, J. D., Beam, M. A., & Hutchens, M. J. (in press). Structural Changes in Media and Attitude Polarization: Examining the Contributions of TV News Before and After the Telecommunications Act of 1996. International Journal of Public Opinion Research. doi: 10.1093/ijpor/edv012
Hutchens, M. J., Hmielowski, J. D., & Beam, M. A. (2015). Rush, Rachel and Rx: Modeling Partisan Media’s Influence on Structural Knowledge of Healthcare Policy. Mass Communication & Society, 18(2), 123-143. doi: 10.1080/15205436.2014.902968.
Beam, M. A. (2014). Automating the News: How Personalized News Recommender System Design Choices Impact News Reception. Communication Research, 41(8), 1019-1041. doi: 10.1177/0093650213497979.
Hindman, D. B. & Beam, M. A. (2014). A Rural Drought in a National Flood: Washington State Residents’ Assessments of Local News. Community Journalism, 3(1), 23-45. http://journal.community-journalism.net/articles/rural-drought-national-flood-washington-state-residents-assessments-local-news
Beam, M. A. & Kosicki, G. M. (2014). Personalized News Portals: Filtering Systems and Increased News Exposure. Journalism and Mass Communication Quarterly, 91(1), 59-77. doi: 10.1177/1077699013514411.
Dylko, I. B., Beam, M. A., Landreville, K. D., Geidner, N. G. (2012). Filtering 2008 Presidential Election News on YouTube by Elites and Nonelites: An Examination of the Democratizing Potential of the Internet. New Media and Society, 14(5), 832-849. doi: 10.1177/1461444811428899.
LaMarre, H. L., Landreville, K. D., & Beam, M. A. (2009). The Irony of Satire: Political Ideology and the Motivation to See What You Want to See in “The Colbert Report.” The International Journal of Press and Politics, 14(2), 212-231. doi: 10.1177/1940161208330904.
Roberto, A. J., Krieger, J. L., & Beam, M. A. (2009). Enhancing Web-Based Prevention Messages for Hispanics using Targeting and Tailoring. Journal of Health Communication, 14(6), 525-540. doi: 10.1080/10810730903089606.