World's Best Scientists 2026 revealed!

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Computer Science

D-Index
70
Citations
20972
World Ranking
1863
National Ranking
951

Overview

Kristina Lerman is affiliated with the University of Southern California in the United States. Their research spans several fields, including artificial intelligence, sociology and political science, statistical and nonlinear physics, communication, and experimental and cognitive psychology.

The scientist has contributed to topics such as misinformation and its impacts, opinion dynamics and social influence, hate speech and cyberbullying detection, complex network analysis techniques, social media and politics, topic modeling, and computational and text analysis methods.

Recent publications by Kristina Lerman include:

  • "A Survey on Bias and Fairness in Machine Learning" (2021), published in ACM Computing Surveys
  • "Political polarization drives online conversations about COVID-19 in the United States" (2020), published in Human Behavior and Emerging Technologies
  • "COVID-19 misinformation and the 2020 U.S. presidential election" (2021), published in Harvard Kennedy School Misinformation Review
  • "Gender Disparity in the Authorship of Biomedical Research Publications During the COVID-19 Pandemic: Retrospective Observational Study" (2021), published in Journal of Medical Internet Research
  • "TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers" (2020), published in Scientific Data

Frequent coauthors of Kristina Lerman include Emilio Ferrara, Emily Chen, Keith Burghardt, Ashwin Rao, and Fred Morstatter.

The scientist frequently publishes in venues such as Harvard Dataverse, arXiv (Cornell University), Proceedings of the International AAAI Conference on Web and Social Media, Journal of Medical Internet Research, and Scientific Data.

Best Publications

  • A Survey on Bias and Fairness in Machine Learning

    Ninareh Mehrabi;Fred Morstatter;Nripsuta Saxena;Kristina Lerman

  • Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks

    Kristina Lerman;Rumi Ghosh

  • Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set.

    Emily Chen;Kristina Lerman;Emilio Ferrara

  • The Majority Illusion in Social Networks

    Kristina Lerman;Xiaoran Yan;Xin-Zeng Wu;Xin-Zeng Wu

  • Using a model of social dynamics to predict popularity of news

    Kristina Lerman;Tad Hogg

  • Analyzing the digital traces of political manipulation: the 2016 russian interference Twitter campaign

    Adam Badawy;Emilio Ferrara;Kristina Lerman

  • The DARPA Twitter Bot Challenge

    V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

  • The DARPA Twitter Bot Challenge

    V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

  • A review of probabilistic macroscopic models for swarm robotic systems

    Kristina Lerman;Alcherio Martinoli;Aram Galstyan

  • Social Information Processing in News Aggregation

    K. Lerman

  • Distributed online localization in sensor networks using a moving target

    Aram Galstyan;Bhaskar Krishnamachari;Kristina Lerman;Sundeep Pattem

  • Analysis of Dynamic Task Allocation in Multi-Robot Systems

    Kristina Lerman;Chris Jones;Aram Galstyan;Maja J Mataríc

  • Accurately and reliably extracting data from the Web: a machine learning approach

    Craig A. Knoblock;Kristina Lerman;Steven Minton;Ion Muslea

  • The Simple Rules of Social Contagion

    Nathan Oken Hodas;Kristina Lerman

  • Web Services Business Process Execution Language

    Unknown

  • MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

    Sami Abu-El-Haija;Bryan Perozzi;Amol Kapoor;Nazanin Alipourfard

  • Mathematical Model of Foraging in a Group of Robots: Effect of Interference

    Kristina Lerman;Aram Galstyan

  • Semi-automatically mapping structured sources into the semantic web

    Craig A. Knoblock;Pedro Szekely;José Luis Ambite;Aman Goel

  • MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

    Sami Abu-El-Haija;Bryan Perozzi;Amol Kapoor;Hrayr Harutyunyan

  • Wrapper maintenance: a machine learning approach

    Kristina Lerman;Steven N. Minton;Craig A. Knoblock

  • Social Browsing on Flickr

    Kristina Lerman;Laurie A Jones

Frequent Co-Authors

Emilio Ferrara
Emilio Ferrara University of Southern California
Aram Galstyan
Aram Galstyan University of Southern California
Craig A. Knoblock
Craig A. Knoblock University of Southern California
Steven Minton
Steven Minton InferLink Corporation
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
José Luis Ambite
José Luis Ambite University of Southern California
Lise Getoor
Lise Getoor University of California, Santa Cruz
Tad Hogg
Tad Hogg Xerox (France)
John D. Van Horn
John D. Van Horn University of Virginia
Jim Blythe
Jim Blythe University of Southern California

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