Research

Peer-reviewed Journal Publications

# denotes co-first authors

#Li, Q., #Bond, R. M., Dixon, G. N., Hovick, S. R., Na, K., Nisbet, C. E., Wegener, D. T., & Garrett, R. K. (Forthcoming). The limited effect of social media use on political and health misperceptions: Evidence from digital trace data and panel surveys. PLOS ONE.

Warner, B., Li, Q., Gillespie, B., de Braganca Peixoto, J., Winfrey, & K. Madrigal, G. Podcasts, Conservative Identity Politics, and the 2024 Election. Journal of Radio \& Audio Media.

Li, Q., Bond, R. M., & Garrett, R. K. Misperceptions in Sociopolitical Context: Belief Sensitivity’s Relationship with Battleground State Status and Partisan Segregation. Journal of Communication.

Li, Q., Hassell, H. J. G., & Bond, R. M. Journalists’ networks: Homophily and peering over the shoulder of other journalists. PLOS ONE.

Li, Y., Wang, Z., & Li, Q. Presidential Communication and Its Relationship with Partisan Perceptions and Behaviors During the COVID-19 Pandemic: A Longitudinal Examination. Human Communication Research.

Nisbet, E. C., Mortenson, C., & Li, Q.. The presumed influence of election misinformation on others reduces our own satisfaction with democracy. Harvard Kennedy School (HKS) Misinformation Review.

Work under review

Li, Q., Warner, B., & Madrigal, G. (R&R). “They’re eating the dogs, they’re eating the cats:” Presidential Debates as a Megaphone for Identity-based Disinformation. International Journal of Communication.

Bond, R. M., Li, Q., Nisbet, E. C., & Garrett, R. K. (R&R). Rallying the Base, Corroding the Truth: Elite Communication, Misperceptions, and the Communication of Democratic Decline. Political Communication.

Li, Q., Wippell, J., Hunt, J., Yadon, N., Bond, R. M., & Tien, J. (Under review). Discussions of Race in Online Right-Wing Communities: A Cross-platform Computational Analysis of Reddit, Telegram, and Truth Social Using BERT and Structural Topic Modeling. Political Psychology.

#Li, Q., #Garrett, R. K., Bond, R. M., & Nisbet, C. E. (Under review). Social media use and partisan divergence in misinformation detection in the 2024 US election.

Flanagan, W., Mortenson, C., Li, Q., Xu, S., Barnowski, H., & Nisbet, C.E. (Under review). DemocracyBench: A Vignette-Based Dataset and Stochastic Sampling Method for Auditing Democratic Values in LLMs. NeurIPS.

Work in progress

Li, Q. (In prep). How dyadic trust impacts factual beliefs and (mis)information sharing: Evidence from an online interactive human-agent experiment.

Li, Q. (In prep). Toward a behavioral measure and manipulation of dyadic trust in computer-mediated communication: An extension of economic trust games using bots.

Book chapters and other writings

Li, Q. Is It Just About the Facts? The Case for a Critical, Pro-Democracy Approach to Information Integrity. Journal of Applied Communication Research.

Li, Q. Not All Falsehoods Are Equal: A Critical Examination of Mis- and Disinformation during the 2024 U.S. Presidential Election. In B. R. Warner, D. G. Bystrom, M. S. McKinney, & M. C. Banwart (Eds.), Democracy on the line: The turbulent 2024 presidential election.