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researcher

Michael S. Bernstein

Stanford University

44 papers hereh-index 6777.2k citations181 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author14
  • last author27

Across the 42 of 44 papers where every author was matched, so the position is known.

fields
  • cs.HC23
  • cs.CV8
  • cs.CY5
  • cs.CL3
  • cs.LG2
  • cs.MA1
affiliations
  • Stanford University
Homepage
same name
  • Michael S. Bernstein — 9 papers, h 6
  • Michael S. Bernstein — 6 papers, h 5
  • Michael S. Bernstein — 5 papers, h 6
  • Michael S. Bernstein — 4 papers, h 2
  • Michael S. Bernstein — 4 papers, h 5
  • Michael S. Bernstein — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedAnyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions

486 citations · 1.7k across the 31 of their papers we have counts for

collaborators
Showing 2021 · cs.CYShow all

3 papers · 2 filters

cs.CY2021★ 2 cited

Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report

Jacob Ritchie, Mark Whiting, Sorathan Chaturapruek +5

Beginning in April 2020, we gathered partial county-level data on non-pharmaceutical interventions (NPIs) implemented in response to the COVID-19 pandemic in the United States, usi…

cs.CY2021★ 14 cited

ESR: Ethics and Society Review of Artificial Intelligence Research

Michael S. Bernstein, Margaret Levi, David Magnus +3

Artificial intelligence (AI) research is routinely criticized for its real and potential impacts on society, and we lack adequate institutional responses to this criticism and to t…

cs.CY2021

Understanding the Representation and Representativeness of Age in AI Data Sets

Joon Sung Park, Michael S. Bernstein, Robin N. Brewer +2

A diverse representation of different demographic groups in AI training data sets is important in ensuring that the models will work for a large range of users. To this end, recent…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.