7 papers
Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits
Jinyi Ye, Lei Cao, Ding Chen +1
The scientific claims drawn from LLM social simulations should be no stronger than the robustness audits that support them. Generative agents bring new expressive power to agent-ba…
Israel-Hamas War on X: A Case Study of Coordinated Campaigns and Information Integrity
Tuğrulcan Elmas, Filipi Nascimento Silva, Manita Pote +8
Coordinated campaigns on social media play a critical role in shaping crisis information environments, particularly during the onset of conflicts when uncertainty is high and verif…
Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations
Gian Marco Orlando, Jinyi Ye, Valerio La Gatta +4
Generative agents are rapidly advancing in sophistication, raising urgent questions about how they might coordinate when deployed in online ecosystems. This is particularly consequ…
Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X
Zhiyi Chen, Jinyi Ye, Beverlyn Tsai +2
Despite widespread concerns about the risks of AI-generated content (AIGC) to the integrity of social media discourse, little is known about its scale and scope, the actors respons…
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science
Chenxiao Yu, Jinyi Ye, Yuangang Li +4
While LLMs have demonstrated remarkable capabilities in text generation and reasoning, their ability to simulate human decision-making -- particularly in political contexts -- rema…
Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election
Jinyi Ye, Luca Luceri, Emilio Ferrara
Approximately 50% of tweets in X's user timelines are personalized recommendations from accounts they do not follow. This raises a critical question: What political content are use…