World's Best Scientists 2026 revealed!
Michael S. Bernstein

Michael S. Bernstein

D-Index & Metrics

Computer Science

D-Index
67
Citations
72159
World Ranking
2125
National Ranking
1069

Overview

Michael S. Bernstein is affiliated with Stanford University in the United States. Their research spans across the fields of Computer Science and Social Sciences, contributing to 44 and 40 publications respectively. Within these broader disciplines, their work focuses on subfields such as Artificial Intelligence, Communication, Sociology and Political Science, Social Psychology, and Statistical and Nonlinear Physics.

The main topics covered in Bernstein's research include Social Media and Politics, Hate Speech and Cyberbullying Detection, Ethics and Social Impacts of AI, Knowledge Management and Sharing, Complex Network Analysis Techniques, Team Dynamics and Performance, and Opinion Dynamics and Social Influence.

Bernstein has authored several recent papers, highlighting varied interests and contributions to multiple areas of research. These papers include:

  • 4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Explanations Can Reduce Overreliance on AI Systems During Decision-Making, 2023, Proceedings of the ACM on Human-Computer Interaction
  • Generative Agents: Interactive Simulacra of Human Behavior, 2023, arXiv (Cornell University)

While not the lead author, they are connected to prominent papers including On the Opportunities and Risks of Foundation Models, 2021, arXiv (Cornell University), and Conceptual Metaphors Impact Perceptions of Human-AI Collaboration, 2020, Proceedings of the ACM on Human-Computer Interaction.

Frequent collaborators in Bernstein's academic network include Jeffrey T. Hancock, Michelle S. Lam, Joon-Sung Park, Ranjay Krishna, and Li Fei-Fei. Collaborations with these researchers range from 5 to 8 joint publications, demonstrating ongoing collaborative efforts in related fields.

Bernstein's research output is often published in venues such as arXiv (Cornell University), Proceedings of the ACM on Human-Computer Interaction, and the Proceedings of the International AAAI Conference on Web and Social Media. They have contributed to these and other distinguished platforms, including the Proceedings of the National Academy of Sciences and the CHI Conference on Human Factors in Computing Systems.

In addition to journal and conference papers, Bernstein has authored work published by The MIT Press. This includes a forthcoming book titled Flash Teams, expected in 2025.

Best Publications

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Soylent: a word processor with a crowd inside

    Michael S. Bernstein;Greg Little;Robert C. Miller;Björn Hartmann

  • Generative Agents: Interactive Simulacra of Human Behavior

    Unknown

  • The future of crowd work

    Aniket Kittur;Jeffrey V. Nickerson;Michael Bernstein;Elizabeth Gerber

  • Visual Relationship Detection with Language Priors

    Cewu Lu;Ranjay Krishna;Michael S. Bernstein;Li Fei-Fei

  • Image retrieval using scene graphs

    Justin Johnson;Ranjay Krishna;Michael Stark;Li-Jia Li

  • Visual7W: Grounded Question Answering in Images

    Yuke Zhu;Oliver Groth;Michael Bernstein;Li Fei-Fei

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • Twitinfo: aggregating and visualizing microblogs for event exploration

    Adam Marcus;Michael S. Bernstein;Osama Badar;David R. Karger

  • Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions

    Justin Cheng;Michael Bernstein;Cristian Danescu-Niculescu-Mizil;Jure Leskovec

  • Short and tweet: experiments on recommending content from information streams

    Jilin Chen;Rowan Nairn;Les Nelson;Michael Bernstein

  • 4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community

    Michael S. Bernstein;Andrés Monroy-Hernández;Drew Harry;Paul André

  • Quantifying the invisible audience in social networks

    Michael S. Bernstein;Eytan Bakshy;Moira Burke;Brian Karrer

  • Reflective physical prototyping through integrated design, test, and analysis

    Björn Hartmann;Scott R. Klemmer;Michael Bernstein;Leith Abdulla

  • Crowds in two seconds: enabling realtime crowd-powered interfaces

    Michael S. Bernstein;Joel Brandt;Robert C. Miller;David R. Karger

  • Empath: Understanding Topic Signals in Large-Scale Text

    Ethan Fast;Binbin Chen;Michael S. Bernstein

  • We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers

    Niloufar Salehi;Lilly C. Irani;Michael S. Bernstein;Ali Alkhatib

  • Handbook of Collective Intelligence

    Thomas W. Malone;Michael S. Bernstein

  • Expert crowdsourcing with flash teams

    Daniela Retelny;Sébastien Robaszkiewicz;Alexandra To;Walter S. Lasecki

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Li Fei-Fei
Li Fei-Fei Stanford University
mc schraefel
mc schraefel University of Southampton
Max Van Kleek
Max Van Kleek University of Oxford
Scott R. Klemmer
Scott R. Klemmer University of California, San Diego
Ed H. Chi
Ed H. Chi Google (United States)
Jaime Teevan
Jaime Teevan Microsoft (United States)
Jeffrey P. Bigham
Jeffrey P. Bigham Carnegie Mellon University
Elizabeth M. Gerber
Elizabeth M. Gerber Northwestern University

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