Papers

26

Total Citations

9,623

H-Index

18

About

Deb Roy is a pioneering researcher at the intersection of computational linguistics, cognitive science, and human-robot interaction, with seminal contributions to grounded language acquisition and the study of information diffusion in social media. His foundational work on grounding language in perception and action — exploring how words and sentences connect to sensory-motor experience — laid critical groundwork for building robots capable of understanding and engaging in natural human communication. Through projects involving conversational robots and grounded situation models, Roy developed computational frameworks enabling machines to link spoken language to visual and physical contexts, advancing the field of natural language processing for robotics. Roy's research on natural language directions for robots demonstrated how unconstrained human speech could be mapped to actionable robotic understanding, a milestone in human-robot collaboration. His grounded spoken language acquisition experiments offered novel insights into how machines might mirror human word-learning processes. Perhaps his most widely recognized contribution is the landmark 2018 study on the spread of true and false news on Twitter — co-authored with MIT colleagues — which amassed an extraordinary 8,310 citations. Analyzing 126,000 stories shared by three million users, this work revealed that falsehoods spread faster and farther than truth online, profoundly shaping public discourse, policy debates, and misinformation research worldwide.

Research Focus

Key Achievements

18
H-Index
26
Papers
9,623
Total Citations
370
Avg Citations/Paper
🏆 Most Cited Paper
The spread of true and false news online
8,310 citations · 2018
📈 Most Prolific Year: 2005 (6 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Massachusetts Institute of Technology, MIT Lincoln Laboratory, Human Media

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago