21 citations · 55 across the 20 of their papers we have counts for
5 papers · 1 filter
The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
Yuhan Liu, Yuxuan Liu, Xiaoqing Zhang +2
In today's digital environment, the rapid propagation of fake news via social networks poses significant social challenges. Most existing detection methods either employ traditiona…
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns
Xiaoqing Zhang, Xiuying Chen, Yuhan Liu +3
In the digital world, influencers are pivotal as opinion leaders, shaping the views and choices of their influencees. Modern advertising often follows this trend, where marketers c…
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
Yuhan Liu, Zirui Song, Juntian Zhang +3
With the growing spread of misinformation online, understanding how true news evolves into fake news has become crucial for early detection and prevention. However, previous resear…
SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing
Xiaoqing Zhang, Yuhan Liu, Jianzhou Wang +3
Influencer marketing campaign success heavily depends on identifying key opinion leaders who can effectively leverage their credibility and reach to promote products or services. T…
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
Yuhan Liu, Xiuying Chen, Xiaoqing Zhang +3
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 new…