Yuehui Li
Papers
1
Total Citations
5
H-Index
1
About
Yuehui Li is a rising scholar in computational social science, whose research investigates the dynamics of online discourse and the potential for technology to mitigate social polarization. Li’s most-cited work, "Alleviating negative group polarization with the aid of social bots" (2024), has already garnered 5 citations, marking a significant early-career contribution. This paper explores a novel, counterintuitive approach: using automated social bots to intervene in polarized online conversations, demonstrating that strategic, non-confrontational bot interactions can reduce hostility and bridge ideological divides. By reframing bots as tools for social good rather than mere sources of misinformation, Li challenges conventional narratives and opens new pathways for designing healthier digital public spheres. Though early in their career, this work signals a commitment to addressing pressing societal challenges through interdisciplinary methods, blending network analysis, natural language processing, and behavioral science. Li’s research holds promise for informing platform design, policy, and public understanding of how technology can foster constructive dialogue rather than deepen division.
Research Focus
Key Achievements
Top Papers
- 1Alleviating negative group polarization with the aid of social bots5 citations · 2024