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Computer Science

D-Index
33
Citations
5726
World Ranking
12527
National Ranking
5084

Overview

David Jurgens is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple fields, primarily within computer science and social sciences, with a focus on artificial intelligence, sociology, political science, communication, and statistical physics.

The scientist has contributed extensively to research topics such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Misinformation and Its Impacts
  • Social Media and Politics
  • Hate Speech and Cyberbullying Detection
  • Complex Network Analysis Techniques
  • Authorship Attribution and Profiling

Among the frequent co-authors collaborating with David Jurgens are Jiaxin Pei, Daniel M. Romero, Minje Choi, Aparna Ananthasubramaniam, and Scott A. Hale.

The scientist has published extensively in venues including:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • The Gerontologist
  • SSRN Electronic Journal

Notable recent papers authored or co-authored by David Jurgens include:

  • "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models," 2022, arXiv (Cornell University)
  • "Measuring the predictability of life outcomes with a scientific mass collaboration," 2020, Proceedings of the National Academy of Sciences
  • "That's What Friends Are For: Inferring Location in Online Social Media Platforms Based on Social Relationships," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest," 2021, Proceedings of the International AAAI Conference on Web and Social Media

David Jurgens has also contributed to book publishing, with work including Computational Sociolinguistics, published by Frontiers Media in 2023.

Best Publications

  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

    Unknown

  • That's What Friends Are For: Inferring Location in Online Social Media Platforms Based on Social Relationships

    David Jurgens

  • Measuring the predictability of life outcomes with a scientific mass collaboration.

    Matthew J Salganik;Ian Lundberg;Alexander T Kindel;Caitlin E Ahearn

  • Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice

    David Jurgens;Tyler Finethy;James McCorriston;Yi Tian Xu

  • SemEval-2013 Task 12: Multilingual Word Sense Disambiguation

    Roberto Navigli;David Jurgens;Daniele Vannella

  • Geotagging one hundred million Twitter accounts with total variation minimization

    Ryan Compton;David Jurgens;David Allen

  • Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity

    Mohammad Taher Pilehvar;David Jurgens;Roberto Navigli

  • SemEval-2012 Task 2: Measuring Degrees of Relational Similarity

    David Jurgens;Saif Mohammad;Peter Turney;Keith Holyoak

  • Measuring the Evolution of a Scientific Field through Citation Frames

    David Jurgens;Srijan Kumar;Raine Hoover;Daniel A. McFarland

  • Demographic Inference and Representative Population Estimates from Multilingual Social Media Data

    Zijian Wang;Scott Hale;David Ifeoluwa Adelani;Przemyslaw Grabowicz

  • The S-Space Package: An Open Source Package for Word Space Models

    David Jurgens;Keith Stevens

  • Still out there: Modeling and Identifying Russian Troll Accounts on Twitter

    Jane Im;Eshwar Chandrasekharan;Jackson Sargent;Paige Lighthammer

  • User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest

    Edward Newell;David Jurgens;Haji Mohammad Saleem;Hardik Vala

  • A Just and Comprehensive Strategy for Using NLP to Address Online Abuse

    David Jurgens;Libby Hemphill;Eshwar Chandrasekharan

  • Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts.

    Luke Breitfeller;Emily Ahn;David Jurgens;Yulia Tsvetkov

  • SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses

    David Jurgens;Ioannis Klapaftis

  • Incorporating Dialectal Variability for Socially Equitable Language Identification

    David Jurgens;Yulia Tsvetkov;Dan Jurafsky

  • Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts

    Hardik Vala;David Jurgens;Andrew Piper;Derek Ruths

  • SemEval-2014 Task 3: Cross-Level Semantic Similarity

    David Jurgens;Mohammad Taher Pilehvar;Roberto Navigli

  • Organizations Are Users Too: Characterizing and Detecting the Presence of Organizations on Twitter

    James McCorriston;David Jurgens;Derek Ruths

  • Embracing Ambiguity: A Comparison of Annotation Methodologies for Crowdsourcing Word Sense Labels

    David Jurgens

  • A Just and Comprehensive Strategy for Using NLP to Address Online Abuse

    David Jurgens;Eshwar Chandrasekharan;Libby Hemphill

Frequent Co-Authors

Roberto Navigli
Roberto Navigli Sapienza University of Rome
Yulia Tsvetkov
Yulia Tsvetkov University of Washington
Dan Jurafsky
Dan Jurafsky Stanford University
Saif M. Mohammad
Saif M. Mohammad National Research Council Canada
Briana Mezuk
Briana Mezuk University of Michigan–Ann Arbor
Steven Bethard
Steven Bethard University of Arizona
Eric Gilbert
Eric Gilbert University of Michigan–Ann Arbor
Daniel Cer
Daniel Cer Google (United States)
Keith J. Holyoak
Keith J. Holyoak University of California, Los Angeles
Jeanne Brooks-Gunn
Jeanne Brooks-Gunn Columbia University

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