Mor Naaman

Mor Naaman is a Professor at Cornell University specializing in Human-Computer Interaction, Social Media Analysis, and AI-Mediated Communication. With a prolific publication record spanning over two decades, his research focuses on how people interact with social computing systems, particularly examining trust, information exposure, and community dynamics in online environments.

His research interests span several interconnected domains: Human-Computer Interaction with emphasis on social media platforms, AI-Mediated Communication examining how AI systems influence human communication patterns, Misinformation Detection and analysis of information ecosystems, Location-Based Social Networks and community awareness systems, and Trust in Online Systems. His work often bridges technical and social aspects of computing, with publications appearing in top venues like CHI, CSCW, and ICWSM.

Analysis of his recent publications (2022-2025) reveals a strong focus on the emerging challenges of AI in social contexts, particularly examining AI-generated content, trustworthiness evaluations of AI systems, and the social implications of generative AI. His research shows consistent interest in understanding community dynamics across platforms like Reddit, Facebook, and Twitter, with recent work examining hyperlocal communities, news consumption patterns, and cross-cultural aspects of AI-mediated communication.

Mor Naaman has mentored numerous students and collaborators, including Xiao Ma, Yiqing Hua, and Marianne Aubin Le Quéré, who frequently appear as co-authors on his publications. His work demonstrates strong interdisciplinary connections between computer science, social science, and communication studies.

His research methodology typically combines large-scale data analysis of social media platforms with user studies and system design, contributing both theoretical insights and practical applications for designing more effective social computing systems. Recent projects have examined AI writing assistants, community governance of AI content, and the cultural implications of AI-mediated communication.