Refereed Journal Articles
- Moravec, P.L., Kim, A., Dennis, A.R., and Minas, R.K. “Do You Really Know If It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media.” Forthcoming at Information Systems Research.
- Dennis, A.S., Moravec, P.L., Kim, A., and Dennis A.R. 2021. “Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study.” JMIR Public Health Surveillance. 7(4):e25762. URL: https://publichealth.jmir.org/2021/4/e25762. DOI: 10.2196/25762
- Moravec, P.L., Kim, A., and Dennis, A.R. 2020 “Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media.” Information Systems Research.
- Moravec, P.L., Minas, R.K., and Dennis, A.R. “Fake News on Social Media: People Believe What They Want to Believe When it Makes No Sense at All.” MIS Quarterly. 43:4. DOI: 10.25300/MISQ/2019/15505
- Kim, A., Moravec, P.L., and Dennis, A.R. 2019. “Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings.” Journal of Management Information Systems. 36:3. DOI: 10.1080/07421222.2019.1628921
- Wolczynski, N., A. Collis, and P.L. Moravec. “Do social media labels impact engagement? Evidence from ‘State-Controlled Media’ Labels on Facebook” SCECR, virtual (June 2021).
- Moravec, P.L., A. Kim, and A.R. Dennis. “Flagging Fake News: System 1 vs. System 2” International Conference on Information Systems (ICIS), San Francisco, CA, USA (December 2018).
- Moravec, P.L., A. Kim, R.K Minas, and A.R. Dennis. “Do You Really Know If It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media.” Hawaiian International Conference on Systems Sciences (HICSS), Maui, HI, USA(January 2019).
- Moravec, P.L., L. Yan, and A. Pedraza-Martinez. “Reducing Fear During Crisis Using Informational Support.” INFORMS, Phoenix, AX, USA (November 2018).
Topics in Working Papers
Partisanship and polarization in online communities; trust in healthcare AI; online privacy decisions