New AI models identify and rank top misinformation spreaders on social media

Researchers have developed new methods to identify and rank users who are most influential in spreading misinformation on social networks. The study categorizes users into archetypes such as amplifiers, super-spreaders, and coordinated accounts, finding that super-spreader traits are most dominant in predicting top misinformation spreaders. The research also highlights the importance of temporal dynamics in prediction accuracy and introduces explainable AI techniques to enhance the interpretability of misinformation propagation drivers. AI

IMPACT Provides tools for content moderation and proactive intervention against misinformation.

RANK_REASON Academic paper on AI for social network analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• alphaXiv
• arXiv
• CatalyzeX Code Finder for Papers
• Connected Papers
• DagsHub
• Enrico Verdolotti
• Gotit.pub
• Hugging Face
• Litmaps
• ScienceCast
• scite Smart Citations

• paper
• safety
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →