16 citations · 16 across the 9 of their papers we have counts for
6 papers · 1 filter
AI agents reshape consensus formation in human groups
Lin Chen, Ziyi Liu, Xia Hu +1
As large language model (LLM) agents shift from tools to participants in human groups, a fundamental question for collective behavior is how their growing presence reshapes consens…
Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation
Yixuan Liu, Lin Chen, Zhuoqi Liu +2
Scientific citations carry rhetorical intent. Scholars may cite prior work positively (supporting), negatively (contrasting), or neutrally (mentioning). As large language models (L…
Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments
Lin Chen, Yitong Chen, Yong Li
Large language models (LLMs) are increasingly deployed as proxies for human participants in social simulations, yet whether they update their beliefs in response to persuasive argu…
SocialFiVis: A Visual Analytics Sandbox for LLM-Grounded Multi-Agent Simulation in Social Finance
Yi-Fan Cao, Qing Shi, Liangwei Wang +5
The emergence of social finance (SocialFi) transforms online communities into complex socio-economic systems. Within these spaces, collective decisions shape a "digital commons" ch…
Large language models create an uneven informational layer over cities
Lin Chen, Guangyuan Weng, Esteban Moro
Large language models (LLMs) are emerging as a new informational layer over cities, shaping which places people discover, consider, and ultimately visit. Yet little is known about…
Urban mobility network centrality predicts social resilience
Lin Chen, Fengli Xu, Esteban Moro +3
Cities thrive on social interactions that foster well-being, innovation, and prosperity; yet, exogenous shocks such as pandemics, hurricanes, and wildfires can severely disrupt the…