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Humans act via a nuanced process that depends both on rational deliberation and also on identity and contextual factors. In this work, we study how large language models (LLMs) can simulate human action in the context of social dilemma…

计算与语言 · 计算机科学 2026-02-03 Suhong Moon , Minwoo Kang , Joseph Suh , Mustafa Safdari , John Canny

The ability of Large Language Models (LLMs) to mimic human behavior triggered a plethora of computational social science research, assuming that empirical studies of humans can be conducted with AI agents instead. Since there have been…

计算与语言 · 计算机科学 2025-10-21 Simon Münker , Nils Schwager , Achim Rettinger

Generative artificial intelligence (AI) is increasingly integrated into the online platforms where humans exchange opinions; large language models (LLMs) now polish users' posts on LinkedIn and provide context for content shared on X. While…

计算机与社会 · 计算机科学 2026-05-18 Stratis Tsirtsis , Kai Rawal , Chris Russell , Brent Mittelstadt , Sandra Wachter

Networked environments shape how information embedded in narratives influences individual and group beliefs and behavior. This raises key questions about how group communication around narrative media impacts belief formation and how such…

社会与信息网络 · 计算机科学 2025-11-03 Abha Jha , J. Hunter Priniski , Carolyn Steinle , Fred Morstatter

The computer science research community has became increasingly interested in the study of social media due to their pervasiveness in the everyday life of millions of individuals. Methodological questions and technical challenges abound as…

社会与信息网络 · 计算机科学 2017-03-07 Emilio Ferrara

With the rise of social media, misinformation has become increasingly prevalent, fueled largely by the spread of rumors. This study explores the use of Large Language Model (LLM) agents within a novel framework to simulate and analyze the…

社会与信息网络 · 计算机科学 2025-02-04 Tianrui Hu , Dimitrios Liakopoulos , Xiwen Wei , Radu Marculescu , Neeraja J. Yadwadkar

Large Language Models (LLMs) have transformed agent-agent and human-agent interaction by enabling software, physical, and simulation agents to communicate and deliberate through natural language. Yet fluent language use does not by itself…

多智能体系统 · 计算机科学 2026-05-05 Önder Gürcan , Moharram Challenger

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current research suggests that LLM-based agents become increasingly…

计算与语言 · 计算机科学 2024-12-18 Amir Taubenfeld , Yaniv Dover , Roi Reichart , Ariel Goldstein

Large Language Models (LLMs) have emerged as powerful tools capable of understanding and generating human-like text, offering transformative potential across diverse domains. The Security Operations Center (SOC), responsible for…

密码学与安全 · 计算机科学 2025-09-23 Ali Habibzadeh , Farid Feyzi , Reza Ebrahimi Atani

Large Language Models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately infer the psychological dispositions of social media users and…

计算与语言 · 计算机科学 2024-06-06 Heinrich Peters , Sandra Matz

Generative language models have improved drastically, and can now produce realistic text outputs that are difficult to distinguish from human-written content. For malicious actors, these language models bring the promise of automating the…

计算机与社会 · 计算机科学 2023-01-12 Josh A. Goldstein , Girish Sastry , Micah Musser , Renee DiResta , Matthew Gentzel , Katerina Sedova

As Large Language Models (LLMs) become more sophisticated, there is a possibility to harness LLMs to power social media bots. This work investigates the realism of generating LLM-Powered social media bot networks. Through a combination of…

社会与信息网络 · 计算机科学 2025-08-25 Lynnette Hui Xian Ng , Kathleen M. Carley

Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not just capable of modeling language, but can also act as…

As large language models (LLMs) become increasingly integrated into online platforms and digital communication spaces, their potential to influence public discourse - particularly in contentious areas like climate change - requires…

计算机与社会 · 计算机科学 2025-06-17 Wenlu Fan , Wentao Xu

Access to accurate and actionable harm reduction information can directly impact the health outcomes of People Who Use Drugs (PWUD), yet existing online channels often fail to meet their diverse and dynamic needs due to limitations in…

人机交互 · 计算机科学 2025-07-15 Kaixuan Wang , Jason T. Jacques , Chenxin Diao , Carl-Cyril J Dreue

Recent advancements have showcased the capabilities of Large Language Models like GPT4 and Llama2 in tasks such as summarization, translation, and content review. However, their widespread use raises concerns, particularly around the…

人工智能 · 计算机科学 2024-09-25 Tony Ma

Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach unprecedented scale and precision. Generative tools can expand…

The advancement of AI technologies, particularly Large Language Models (LLMs), has transformed computing while introducing new security and privacy risks. Prior research shows that cybercriminals are increasingly leveraging uncensored LLMs…

密码学与安全 · 计算机科学 2025-08-19 Zilong Lin , Zichuan Li , Xiaojing Liao , XiaoFeng Wang

Large Language Models (LLMs) are transforming human decision-making by acting as cognitive collaborators. Yet, this promise comes with a paradox: while LLMs can improve accuracy, they may also erode independent reasoning, promote…

密码学与安全 · 计算机科学 2025-09-09 Irdin Pekaric , Philipp Zech , Tom Mattson

Large language models (LLMs) offer unprecedented opportunities for analyzing social phenomena at scale. This paper demonstrates the value of LLMs in psychological measurement by (1) compiling the first large-scale dataset of election rumors…

人工智能 · 计算机科学 2026-01-09 Etienne Casanova , R. Michael Alvarez