Feb. 27, 2024, 5:50 a.m. | Xinyi Mou, Zhongyu Wei, Xuanjing Huang

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.16333v1 Announce Type: cross
Abstract: Social media has emerged as a cornerstone of social movements, wielding significant influence in driving societal change. Simulating the response of the public and forecasting the potential impact has become increasingly important. However, existing methods for simulating such phenomena encounter challenges concerning their efficacy and efficiency in capturing the behaviors of social movement participants. In this paper, we introduce a hybrid framework for social media user simulation, wherein users are categorized into two types. Core …

abstract agent arxiv become challenges change cs.cl cs.cy driving forecasting impact influence media movements public scale simulation social social media truth type

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote