Shaopeng Che | Public Opinion Simulation and Algorithmic Fidelity in Social Contexts | Research Excellence Award

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Dr. Shaopeng Che | Public Opinion Simulation and Algorithmic Fidelity in Social Contexts | Research Excellence Award

Chang'an University | China

This scholarly profile represents an advanced researcher working at the intersection of computational communication and large language model studies, with a strong foundation in human–artificial intelligence interaction. The research agenda centers on understanding how algorithmic systems simulate, shape, Public Opinion Simulation and Algorithmic Fidelity in Social Contexts and respond to public communication across complex sociopolitical environments, particularly within non-Western and regulated information contexts. Core contributions include large-scale empirical investigations into language model–generated social data, offering critical insights into the reliability, bias, and cultural embeddedness of algorithmic outputs. A key theoretical advancement lies in redefining algorithmic fidelity as a context-dependent concept, moving beyond surface-level accuracy toward a multidimensional framework that evaluates response behavior, distributional alignment, and subgroup representation. Methodologically, the work integrates survey-based validation, robustness testing across multiple model architectures, and comparative analysis to uncover stable structural patterns as well as systemic limitations in simulated public opinion. These findings provide practical guidance for the responsible application of generative models in communication research, policy analysis, and media studies. With extensive publication experience in high-impact academic journals and active engagement in international scholarly communities, this body of work contributes to advancing ethical, culturally aware, and empirically grounded approaches to artificial intelligence–mediated communication research.

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Featured Publications

Simulating the People’s Voice: Leveraging Algorithmic Fidelity to Assess ChatGPT’s Performance in Modeling Public Opinion on Chinese Government Policies

S. P. Che, M. Zhu, S. Zhang, H. S. Jung, H. Lee, Z. Wang, L. Miller –
Information Processing & Management, 63(3), 104567, 2026
A Clinical Prediction Model for Short-Term Prognosis in Patients with Non–Acute Myocardial Infarction–Related Cardiogenic Shock

X. Wang, X. Fan, T. Wu, S. P. Che, X. Shi, P. Liu, J. Liu, Y. Luo, Y. Wu, B. Lan –
Shock, 2025
Communicating Climate Change to Young Adults in China: Examining Predictors of User Engagement on Chinese Social Media

S. P. Che, K. Kuang, L. Liu, S. Liu –
International Journal of Climate Change Strategies and Management, 2025
Exploring China’s Climate Innovation: Insights from Outlier Patents Using BERT-LOF and LDA

S. P. Che, L. Miller –
19th International Conference on Ubiquitous Information Management and Communication, 2025

Yahya Alshamy | Social and Behavioral Statistics | Best Researcher Award

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Dr. Yahya Alshamy | Social and Behavioral Statistics | Best Researcher Award

New York University | United States

Dr. Yahya  Alshamy is a culturally attuned economist and policy analyst with extensive experience in higher education and research across Saudi Arabia and the United States. Currently a Post-Doctoral Fellow and Lecturer at New York University, he enhances NYU’s teaching portfolio in law, macroeconomics, and political economy by integrating cutting-edge research in behavioural and development economics into graduate instruction, mentoring teaching and research assistants, and leading independent studies such as “Legitimacy by Consumption,” which examines economic welfare and authority in transitioning rentier states. Concurrently, he serves as an Associate Research Fellow at the King Faisal Centre for Research and Islamic Studies (KFCRIS), where he oversees research, authors flagship reports, and positions KFCRIS as a thought leader through publications analyzing non-oil revenue growth, subsidy reform, and intellectual history, including cross-disciplinary works on Yemen and comparative studies of Western conservative critiques of intellectuals. Previously, as a Graduate Lecturer at George Mason University, Dr. Alshamy redesigned large macroeconomics survey courses, employing interactive problem sets, real-time polling, policy simulations, and discussion labs to boost student engagement and evaluations. His Ph.D. research at the Mercatus Centre examined institutional failures in conflict zones and the governance of defence technologies, resulting in nine peer-reviewed journal articles, multiple book chapters, and high-impact policy briefs, including pioneering frameworks for evaluating “noxious government markets” in international arms trade. Dr. Alshamy has also executed large-scale data analytics projects, including NLP pipelines tracking U.S. and EU investor sentiment on Saudi Vision 2030, and designed behavioral interventions that informed financial literacy programs for young Saudi investors. With over ten peer-reviewed and policy publications, certifications in human-subjects research and executive communication, and board appointments on research advisory and scientific boards, he exemplifies a blend of rigorous scholarship, innovative pedagogy, and policy-relevant impact in economics and governance.

Profiles: Google Scholar |  Linked In

Featured Publications

Alshamy, Y., Callais, J. T., & Ammons, J. (2024). Nonviolent regime change and economic freedom. SSRN, 4877262.

Alshamy, Y., Goodman, N. P., & Novak, M. (2025). Polycentric peace. Journal of Pacifism and Nonviolence, 1(aop), 1–29.

Alshamy, Y. (2025). Mind the cultural gap: Cultural contingency of behavioral interventions. SSRN, 5316905.

Alshamy, Y. (2024). Monocentric governance and the rise of sectarian conflict in Yemen. In Conflicts and challenges in the Middle East: Religious, political and …

Alshamy, Y. (2024). Essays on institutional analysis and development in war-torn countries. George Mason University.