M
Michael A. Beam
Researcher at Kent State University
Publications - 34
Citations - 1010
Michael A. Beam is an academic researcher from Kent State University. The author has contributed to research in topics: Politics & Presidential election. The author has an hindex of 12, co-authored 32 publications receiving 766 citations. Previous affiliations of Michael A. Beam include Ohio State University & Washington State University.
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The Irony of Satire Political Ideology and the Motivation to See What You Want to See in The Colbert Report
TL;DR: This article investigated biased message processing of political satire in The Colbert Report and the influence of political ideology on perceptions of Stephen Colbert and found that individual-level political ideology significantly predicted perceptions of Colbert's political ideology.
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Automating the News: How Personalized News Recommender System Design Choices Impact News Reception
TL;DR: Results from an online mock election experiment with Ohio adult Internet users indicate increased selective exposure when using personalized news systems, but portals recommending news based on explicit user customization result in significantly higher counterattitudinal news exposure.
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Facebook news and (de)polarization: reinforcing spirals in the 2016 US election
TL;DR: This article examined the reciprocal relationship between Facebook news use and polarization using national 3-wave panel data collected during the 2016 US Presidential Election and found media use and attitudes remained relatively stable over the course of the campaign.
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Filtering 2008 US presidential election news on YouTube by elites and nonelites: An examination of the democratizing potential of the internet
TL;DR: A quantitative content analysis of the most popular YouTube political news videos during the 2008 US presidential election found that elites dominated first and second filters in the flow of online news, while nonelites dominated the third filter.
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Clicking vs. sharing
TL;DR: Results from survey data collected over 3-waves during the 2012 US Presidential Election from an online panel of 403 US adult Internet users show that reading online news is positively related to factual political knowledge and sharing online news, in contrast, is related to structural knowledge.