World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
25568
World Ranking
2268
National Ranking
1132

Research.com Recognitions

  • 2009 - ACM Distinguished Member

Overview

Loren Terveen is affiliated with the University of Minnesota in the United States, focusing on research that intersects social sciences and computer science. Their scholarly work spans several key areas including communication, artificial intelligence, sociology and political science, health, and social psychology.

The topics Loren frequently investigates cover a range of social and technological domains such as:

  • Wikis in Education and Collaboration
  • Social Media in Health Education
  • Social Media and Politics
  • Recommender Systems and Techniques
  • Mental Health via Writing
  • Open Source Software Innovations
  • Topic Modeling

A selection of recent papers authored or co-authored by Loren illustrates the diversity of their research interests:

  • "Blissfully Happy" or "Ready to Fight": Varying Interpretations of Emoji, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • What is Spiritual Support and How Might It Impact the Design of Online Communities?, 2021, Proceedings of the ACM on Human-Computer Interaction
  • Misalignment Between Supply and Demand of Quality Content in Peer Production Communities, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Human-centered recommender systems: Origins, advances, challenges, and opportunities, 2021, AI Magazine
  • Effective Strategies for Crowd-Powered Cognitive Reappraisal Systems: A Field Deployment of the Flip*Doubt Web Application for Mental Health, 2021, Proceedings of the ACM on Human-Computer Interaction

Frequent publication venues for Loren include:

  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the ACM on Human-Computer Interaction
  • arXiv (Cornell University)
  • interactions
  • AI Magazine

Loren collaborates often with several co-authors, including:

  • Svetlana Yarosh
  • Mo Houtti
  • Zachary Levonian
  • Hannah Miller
  • Isaac Johnson

In recognition of their contributions to the computing field, Loren Terveen was named an ACM Distinguished Member in 2009.

Best Publications

  • Evaluating collaborative filtering recommender systems

    Jonathan L. Herlocker;Joseph A. Konstan;Loren G. Terveen;John T. Riedl

  • PHOAKS: a system for sharing recommendations

    Loren Terveen;Will Hill;Brian Amento;David McDonald

  • The dynamics of mass interaction

    Steve Whittaker;Loren Terveen;Will Hill;Lynn Cherny

  • Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution

    Mark H. Bickhard;Loren Terveen

  • Exploring the filter bubble: the effect of using recommender systems on content diversity

    Tien T. Nguyen;Pik-Mai Hui;F. Maxwell Harper;Loren Terveen

  • Beyond Recommender Systems: Helping People Help Each Other

    Loren Terveen;Will Hill

  • Creating, destroying, and restoring value in wikipedia

    Reid Priedhorsky;Jilin Chen;Shyong (Tony) K. Lam;Katherine Panciera

  • “Blissfully Happy” or “Ready toFight”: Varying Interpretations of Emoji

    Hannah Jean Miller;Jacob Thebault-Spieker;Shuo Chang;Isaac L. Johnson

  • Social matching: A framework and research agenda

    Loren Terveen;David W. McDonald

  • SuggestBot: using intelligent task routing to help people find work in wikipedia

    Dan Cosley;Dan Frankowski;Loren Terveen;John Riedl

  • Wikipedians are born, not made: a study of power editors on Wikipedia

    Katherine Panciera;Aaron Halfaker;Loren Terveen

  • Does “authority” mean quality? predicting expert quality ratings of Web documents

    Brian Amento;Loren Terveen;Will Hill

  • Discovering personally meaningful places: An interactive clustering approach

    Changqing Zhou;Dan Frankowski;Pamela Ludford;Shashi Shekhar

  • Discovering personal gazetteers: an interactive clustering approach

    Changqing Zhou;Dan Frankowski;Pamela Ludford;Shashi Shekhar

  • Think different: increasing online community participation using uniqueness and group dissimilarity

    Pamela J. Ludford;Dan Cosley;Dan Frankowski;Loren Terveen

  • Overview of human-computer collaboration

    Loren G. Terveen

  • WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web

    Tien T. Nguyen;Pik Mai Hui;Max Harper;Loren G Terveen

  • Wireless myoelectric control apparatus and methods

    William Colyer Hill;Fernando Carlos Pereira;Yoram Singer;Loren Gilbert Terveen

  • Value-Sensitive Algorithm Design: Method, Case Study, and Lessons

    Haiyi Zhu;Bowen Yu;Aaron Halfaker;Loren Terveen

  • Let's stop pushing the envelope and start addressing it: a reference task agenda for HCI

    Steve Whittaker;Loren Terveen;Bonnie A. Nardi

  • Proceedings of the 2013 conference on Computer supported cooperative work

    Amy Bruckman;Scott Counts;Cliff Lampe;Loren Terveen

  • Dynamics of mass interaction

    Steve Whittaker;Loren Terveen;Will Hill;Lynn Cherny

Frequent Co-Authors

Brent Hecht
Brent Hecht Northwestern University
Brian Amento
Brian Amento AT&T (United States)
John Riedl
John Riedl University of Minnesota
Joseph A. Konstan
Joseph A. Konstan University of Minnesota
Dan Cosley
Dan Cosley National Science Foundation
Steve Whittaker
Steve Whittaker University of California, Santa Cruz
Cliff Lampe
Cliff Lampe University of Michigan–Ann Arbor
Shashi Shekhar
Shashi Shekhar University of Minnesota
Amy Bruckman
Amy Bruckman Georgia Institute of Technology
David W. McDonald
David W. McDonald University of Washington

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