World's Best Scientists 2026 revealed!
Deb Roy

Deb Roy

D-Index & Metrics

Computer Science

D-Index
50
Citations
22788
World Ranking
5469
National Ranking
2497

Overview

Deb Roy is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research intersects the fields of Social Sciences and Computer Science, with a particular emphasis on Artificial Intelligence, Communication, Statistical and Nonlinear Physics, Education, and Sociology and Political Science.

The primary research topics explored by Deb Roy include:

  • Social Media and Politics
  • Opinion Dynamics and Social Influence
  • Topic Modeling
  • Hate Speech and Cyberbullying Detection
  • Media Influence and Politics
  • School Choice and Performance
  • Complex Network Analysis Techniques

Among their recent publications are:

  • "Tweet Acts: A Speech Act Classifier for Twitter" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction" (2020), published in arXiv (Cornell University)
  • "Perspective-Taking to Reduce Affective Polarization on Social Media" (2022), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Interpretable Multi-Modal Hate Speech Detection" (2021), published in arXiv (Cornell University)
  • "Language Models Trained on Media Diets Can Predict Public Opinion" (2023), published in arXiv (Cornell University)

Frequent co-authors collaborating with Deb Roy include:

  • Doug Beeferman
  • Nabeel Gillani
  • Martin Saveski
  • Prashanth Vijayaraghavan
  • Brandon Roy

The venues where Deb Roy has frequently published mainly consist of:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Computers & Education
  • SSRN Electronic Journal
  • Educational Researcher

Best Publications

  • Computational Social Science

    David M. Lazer;Alex Pentland;Lada Adamic;Sinan Aral;Sinan Aral

  • Affective Learning — A Manifesto

    R. W. Picard;S. Papert;W. Bender;B. Blumberg

  • Learning words from sights and sounds: a computational model

    Deb Kumar Roy;Alex P. Pentland

  • Toward understanding natural language directions

    Thomas Kollar;Stefanie Tellex;Deb Roy;Nicholas Roy

  • Displaying Estimated Social Interest in Time-based Media

    Michael Ben Fleischman;Deb Kumar Roy

  • Semiotic schemas: A framework for grounding language in action and perception

    Deb Roy

  • Learning visually grounded words and syntax for a scene description task

    Deb K. Roy

  • Predicting the birth of a spoken word

    Brandon C. Roy;Brandon C. Roy;Michael C. Frank;Philip DeCamp;Matthew Miller

  • The Human Speechome Project

    Deb Roy;Rupal Patel;Philip DeCamp;Rony Kubat

  • Grounding words in perception and action: computational insights

    Deb Roy

  • Rumor Gauge: Predicting the Veracity of Rumors on Twitter

    Soroush Vosoughi;Mostafa ‘Neo’ Mohsenvand;Deb Roy

  • Generating audience response metrics and ratings from social interest in time-based media

    Michael Ben Fleischman;Deb Kumar Roy;Jeremy Rishel

  • Grounded semantic composition for visual scenes

    Peter Gorniak;Deb Roy

  • Semi-automatic speech transcription

    Brandon Cain Roy;Deb Kumar Roy

  • Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder

    Soroush Vosoughi;Prashanth Vijayaraghavan;Deb Roy

  • Connecting language to the world

    Deb Roy;Ehud Reiter

  • The Restaurant Game: Learning Social Behavior and Language from Thousands of Players Online

    Jeff Orkin;Deb Roy

  • Mental imagery for a conversational robot

    D. Roy;Kai-Yuh Hsiao;N. Mavridis

  • Me, My Echo Chamber, and I: Introspection on Social Media Polarization

    Nabeel Gillani;Ann Yuan;Martin Saveski;Soroush Vosoughi

  • Grounded Situation Models for Robots: Where words and percepts meet

    Nikolaos Mavridis;Deb Roy

  • Learning Influence among Interacting Markov Chains

    Dong Zhang;Daniel Gatica-perez;Samy Bengio;Deb Roy

  • Life in the network: The coming age of computational social science: Science

    D. Lazer;A. Pentland;A. Adamic;S. Aral

  • The Human Speechome Project

    Philip DeCamp;Michael Fleischman;Peter Gorniak;Jethran Guinness

Frequent Co-Authors

Stefanie Tellex
Stefanie Tellex Brown University
Michael C. Frank
Michael C. Frank Stanford University
Matthew S. Goodwin
Matthew S. Goodwin Northeastern University
David Lazer
David Lazer Northeastern University
Noshir Contractor
Noshir Contractor Northwestern University
Daniel C. Dennett
Daniel C. Dennett Tufts University

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