I’m interested in studying how audiences will adapt to the future of news, especially how they will learn to judge credibility and engage with the news. Much of my work views these media effects with an emphasis on partisans, partisan news brands and news about political issues. My research agenda centers understanding how audiences respond to many of the solutions to “fake news” that have been proposed, including labels and crowdsourcing. Additionally, I think it is important to understand the intersection of the audience’s perception of credibility and perception of public opinion. To that end, some of my work examines online comments.
Duncan, M. (2021). Selective rating: Partisan bias in crowdsourced news rating systems. Forthcoming from Journal of Information Technology and Politics.
Duncan, M., Perryman, M., & Shaughnessy, B. (2021). Same scandal, different standards: The effect of partisanship on expectations of news reports about whistleblowers. Online first from Mass Communication & Society. doi: https://doi.org/10.1080/15205436.2021.1936558
Duncan, M. (2020). What’s in a label? Negative credibility labels in partisan news. Online first at Journalism and Mass Communication Quarterly. doi: https://doi.org/10.1177/1077699020961856
Duncan, M., & Culver, K. (2020). Technologies, Ethics and Journalism’s Relationship with the Public. Media and Communication, 8(3), 101-111. doi: http://dx.doi.org/10.17645/mac.v8i3.3039
Duncan, M., Pelled, A., Wise, D., Gosh, S., Shan, Y., Zheng, M., & McLeod, D. (2020). Staying silent and speaking out in online comments sections: The influence of spiral of silence and corrective action in reaction to news. Computers in Human Behavior 102, 192-205. doi: 10.1016/j.chb.2019.08.026
Duncan, M. & Coppini, D. (2019). Party v. The People: Testing corrective action and supportive engagement in a partisan political context. Journal of Information Technology and Politics. 16(3), 265-289. doi: 10.1080/19331681.2019.1644266.
Duncan, M. (2019). The effectiveness of credibility indicator interventions in a partisan context. Newspaper Research Journal. 40(4), 487-503. doi: 10.1177/0739532919873707.
Duncan, M., Culver, K. B., McLeod, D., & Kremmer, C. (2019). Don’t Quote me: Effects of Named, Quoted, and Partisan News Sources. Journalism Practice. 13(9), 1128-1146. doi: 10.1080/17512786.2019.1588148.
Mirer, M., Duncan, M. A., & Wagner, M. W. (2018). Taking it from the team: Assessments of bias and credibility in team-operated sports media. Newspaper Research Journal, 39(4), 481-495.
Coppini, D., Duncan, M., McLeod, D., Wise, D., Bialik, K., & Wu, Y. (2017). When the whole world is watching: A motivations-based account of selective expression and exposure. Computers in Human Behavior, 75, 766-774