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Michael Beam, Ph.D. is the director of the School of Emerging Media and Technology at 91�ֿ�. 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; Communication Monographs; Public Opinion Quarterly; Information, Communication & Society; 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, . More information is available on .

Scholarly, Creative and Professional Activities

Beam, M. A. & Pu, Z. (in press). News Recommender Systems. In A. Nai, M. Groemping, & D. Wirz (Eds.), Elgar Encyclopedia of Political Communication. Elgar Publishing. [ISBN: ]

Beam, M. A., Hutchens, M. J. & Hmielowski, J. D. (2024). The Fragmented Social Media Landscape in the 2024 U.S. Election. In D. Jackson, A. Carson, D. Sarver Coombs, S. Edgerly, E. Thorsen, F. Trevisan, & S. Wright (Eds.), U.S. Election Analysis 2024: Media, Voters and the Campaign. Poole, UK: The Centre for Comparative Politics and Media Research, Bournemouth University. 

Pu, Z. & Beam, M. A. (2024). The Impacts of Relevance of Recommendations and Goal Commitment on User Experience in News Recommender Design. User Modeling and User-Adapted Interaction, 34, 925-953. doi: 

Egbert, N., Zhu, Y., Choi, M., Beam, M. A., & Smith, T. C. (2023). Family Communication Patterns and Parents’ Intentions to Vaccinate their Child against COVID-19. Health Communication, 38, 2774-2781. doi: 

Hmielowski, J. D., Staggs, S., Hutchens, M. J., & Beam, M. A. (2022). Talking Politics: The Relationship between Supportive and Opposing Interpersonal Discussion with Partisan Media Credibility and Use. Communication Research, 49, 221-244. doi: 

Bernstein, A. de Vreese, C., Helberger, N., Shulz, W., Zweig, K., Baden, C., Beam, M. A., Hauer, M. P., Heitz, L., Jürgens, P., Katzenbach, C., Kille, B., Klimkiewicz, B., Loosen, W., Moeller, J., Radanovic, G., Shani, G., Tintarev, N., Tolmeijer, S., van Atteveldt, W., Vrigenhoek, S., & Zueger, T. (2021). Diversity in News Recommendation. Dagstuhl Manifestos, 9, 43-61. doi: 

Hmielowski, J. D., Hutchens, M. J., & Beam, M. A. (2020). Asymmetry of Partisan Media Effects? Examining the Reinforcing Process of Conservative and Liberal Media with Political Beliefs. Political Communication, 37, 852-868. doi: 

York, C., Ponder, J. D., Humphries, Z., Goodall, C., Beam, M. A., & Winters, C. (2020). Effects of Fact-Checking Political Misinformation on Epistemic Political Efficacy. Journalism & Mass Communication Quarterly, 97, 958-980. doi: 

Hutchens, M. J., Hmielowski, J. D. & Beam, M. A., (2019). Reinforcing Spirals of Political Discussion and Affective Polarization. Communication Monographs, 86, 357-376. doi: 

Silva, D. E., Hutchens, M. J., Donaway, R. & Beam, M. A., (2018). 300 Million Clicks and Political Engagement via Facebook in the 2016 American Presidential Election: How Online Activity Changes Across Time and Sources. Mass Communication & Society, 21, 742-762. doi: 

Beam, M. A., Child, J. T., Hutchens, M. J., & Hmielowski, J. D. (2018). Context Collapse and Privacy Management: Diversity in Facebook Friends Increases Online News Reading and Sharing. New Media & Society, 20, 2296-2314. doi: 

Beam, M. A., Hutchens, M. J. & Hmielowski, J. D. (2018). Facebook News and (De)Polarization: Reinforcing Spirals in the 2016 US Election. Information, Communication, & Society, 21, 940-958. doi: 

Beam, M. A., Hmielowski, J. D., & Hutchens, M. J. (2018). Democratic Digital Inequalities: Threat and Opportunity in Online Citizenship from Motivation and Ability. American Behavioral Scientist, 62, 1079-1096. doi: 

Wang, M. Y., Hmielowski, J. D., Hutchens, M. J., & Beam, M. A. (2017). Extending the Spiral of Silence: Partisan Media, Perceived Support, and Sharing Opinions Online. Journal of Information Technology & Politics, 14, 248-262. doi: 

Beam, M. A. Hutchens, M. J., & Hmielowski, J. D. (2016). Clicking vs. Sharing:  The Relationship between Online News Behaviors and Political Knowledge. Computers in Human Behavior, 59, 215-220. doi: 

Hmielowski, J. D., Beam, M. A., & Hutchens, M. J.  (2016). 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, 28(2), 153-172. doi: 

Beam, M. A. (2014). Automating the News: How Personalized News Recommender System Design Choices Impact News Reception. Communication Research, 41(8), 1019-1041. doi: .

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: .

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: .

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:  .