Full List by Research Themes Full List in Chronological Order
Published in arXiv.org, 2025
Recommended citation: Peng, T.-Q., & Yang, X. (2025). Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods (No. arXiv:2505.19402). arXiv. https://doi.org/10.48550/arXiv.2505.19402 https://doi.org/10.48550/arXiv.2505.19402
Published in arXiv.org, 2025
Recommended citation: Peng, T.-Q., Yang, K., Lee, S., Li, H., Chu, Y., Lin, Y., & Liu, H. (2025). Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models (No. arXiv:2412.16746; Version 4). arXiv. https://doi.org/10.48550/arXiv.2412.16746 https://doi.org/10.48550/arXiv.2412.16746
Published in PLOS Climate, 2024
Recommended citation: Lee, S., Peng, T. Q., Goldberg, M. H., Rosenthal, S. A., Kotcher, J. E., Maibach, E. W., & Leiserowitz, A. (2024). Can large language models estimate public opinion about global warming? An empirical assessment of algorithmic fidelity and bias. PLOS Climate, 3(8), e0000429. https://www.doi.org/10.1371/journal.pclm.0000429
Published in Communication Monographs, 2024
Recommended citation: Lee, S., Choung, H., Peng, T. Q., Lapinski, M. K., Jang, Y., & Turner, M. M. (in press). Believe it or not: A network analysis investigating how individuals embrace false and true statements during COVID-19. Communication Monographs https://doi.org/10.1080/03637751.2024.2354252
Published in Digital Journalism, 2023
Recommended citation: Lee, S., & Peng, T. Q. (2023). Understanding Audience Behavior with Digital Traces: Past, Present, and Future. Digital Journalism. https://doi.org/10.1080/21670811.2023.2254821
Published in Human Communication Research, 2023
Recommended citation: Xu, Y., & Peng, T. Q. (2023). Ecological Constraints on Audience Size in the Digital Media System: Evidence From the Longitudinal Tracking Data From 2019 to 2022. Human Communication Research. https://doi.org/10.1093/hcr/hqad028
Published in Digital Journalism, 2023
Recommended citation: Zhou, Y. X., Peng, T. Q., & Zhu, J. J. H. (2023). Will Time Matter with Cognitive Load and Retention in Online News Consumption? Digital Journalism https://doi.org/10.1080/21670811.2022.2164514
Published in Communication Research, 2022
Recommended citation: Peng, T. Q., & Zhu, J. J. H. (2022). Competition, Cooperation, and Coexistence: An Ecological Approach to Public Agenda Dynamics in the United States (1958–2020). Communication Research https://doi.org/10.1177/00936502221125067
Published in EPJ Data Science, 2022
Recommended citation: Zhang, L., Li, Y.-N., Peng, T. Q., & Wu, Y. (2022). Dynamics of the social construction of knowledge: An empirical study of Zhihu in China. EPJ Data Science, 11(1), 35. https://doi.org/10.1140/epjds/s13688-022-00346-6
Published in IEEE Transactions on Visualization and Computer Graphics, 2022
Recommended citation: Wang, Y., Peng, T. Q., Lu, H., Wang, H., Xie, X., Qu, H. M., & Wu, Y. C. (2022). Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers. IEEE Transactions on Visualization and Computer Graphics, 28(1), 475–485. https://doi.org/10.1109/TVCG.2021.3114790
Published in Journal of Computer-Mediated Communication, 2020
Recommended citation: Peng, T. Q., & Zhu, J. J. H. (2020). Mobile Phone Use as Sequential Processes: From Discrete Behaviors to Sessions of Behaviors and Trajectories of Sessions. Journal of Computer-Mediated Communication, 25(2), 129-146. https://doi.org/10.1093/jcmc/zmz029
Published in ACM Transactions on Intelligent Systems and Technology, 2018
Recommended citation: Sun, G., Tang, T., Peng, T. Q., Liang, R., & Wu, Y. (2018). SocialWave: Visual Analysis of Spatio-temporal Diffusion of Information on Social Media. ACM Transactions on Intelligent Systems and Technology, 9(2). https://doi.org/10.1145/3106775