From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News

arXiv:2403.09498v1 Announce Type: cross
Abstract: In the digital era, the rapid propagation of fake news and rumors via social networks brings notable societal challenges and impacts public opinion regulation. Traditional fake news modeling typically forecasts the general popularity trends of different groups or numerically represents opinions shift. However, these methods often oversimplify real-world complexities and overlook the rich semantic information of news text. The advent of large language models (LLMs) provides the possibility of modeling subtle dynamics of opinion. Consequently, …

abstract arxiv attitude challenges cs.ai cs.cl cs.si digital dynamics fake fake news general however impacts modeling networks opinion opinions propagation public regulation rumors shift skepticism social social networks trends type via