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Computer Science

D-Index
46
Citations
16028
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6669
National Ranking
2945

Overview

Eric Gilbert is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily resides within the social sciences, with specific work in sociology and political science, artificial intelligence, communication, statistical and nonlinear physics, and gender studies.

The main topics of Gilbert's research encompass social media and politics, misinformation and its impacts, hate speech and cyberbullying detection, digital games and media, complex network analysis techniques, gender, feminism, and media, as well as ethics and social impacts of AI.

Gilbert has contributed to multiple publication venues. Frequent venues include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the ACM on Human-Computer Interaction
  • Syntaxe et sémantique
  • ACM Transactions on Computer-Human Interaction

Among the recent papers by Gilbert are:

  • CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit, 2022, ACM Transactions on Computer-Human Interaction
  • Why We Filter Our Photos and How It Impacts Engagement, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Women's Perspectives on Harm and Justice after Online Harassment, 2022, Proceedings of the ACM on Human-Computer Interaction
  • Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory, 2022, 2022 ACM Conference on Fairness, Accountability, and Transparency

Frequent co-authors with whom Gilbert has collaborated include:

  • Sarita Schoenebeck
  • Eshwar Chandrasekharan
  • Jane Im
  • Tanushree Mitra
  • Shagun Jhaver

Best Publications

  • VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text

    Clayton J. Hutto;Eric Gilbert

  • Predicting tie strength with social media

    Eric Gilbert;Karrie Karahalios

  • Faces engage us: photos with faces attract more likes and comments on Instagram

    Saeideh Bakhshi;David A. Shamma;Eric Gilbert

  • You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech

    Eshwar Chandrasekharan;Umashanthi Pavalanathan;Anirudh Srinivasan;Adam Glynn

  • The language that gets people to give: phrases that predict success on kickstarter

    Tanushree Mitra;Eric Gilbert

  • The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales

    Eshwar Chandrasekharan;Mattia Samory;Shagun Jhaver;Hunter Charvat

  • CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations

    Tanushree Mitra;Eric Gilbert

  • Human-Machine Collaboration for Content Regulation: The Case of Reddit Automoderator

    Shagun Jhaver;Iris Birman;Eric Gilbert;Amy Bruckman

  • Online Harassment and Content Moderation: The Case of Blocklists

    Shagun Jhaver;Sucheta Ghoshal;Amy Bruckman;Eric Gilbert

  • #thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities

    Stevie Chancellor;Jessica Annette Pater;Trustin Clear;Eric Gilbert

  • Widespread underprovision on Reddit

    Eric Gilbert

  • Blogs Are Echo Chambers: Blogs Are Echo Chambers

    Eric Gilbert;Tony Bergstrom;Kyratso George Karahalios

  • "I need to try this"?: a statistical overview of pinterest

    Eric Gilbert;Saeideh Bakhshi;Shuo Chang;Loren Terveen

  • The network in the garden: an empirical analysis of social media in rural life

    Eric Gilbert;Karrie Karahalios;Christian Sandvig

  • Does Transparency in Moderation Really Matter?: User Behavior After Content Removal Explanations on Reddit

    Shagun Jhaver;Amy Bruckman;Eric Gilbert

  • A longitudinal study of follow predictors on twitter

    C.J. Hutto;Sarita Yardi;Eric Gilbert

  • User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms

    Motahhare Eslami;Kristen Vaccaro;Min Kyung Lee;Amit Elazari Bar On

  • The Bag of Communities: Identifying Abusive Behavior Online with Preexisting Internet Data

    Eshwar Chandrasekharan;Mattia Samory;Anirudh Srinivasan;Eric Gilbert

  • Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators

    Eshwar Chandrasekharan;Chaitrali Gandhi;Matthew Wortley Mustelier;Eric Gilbert

  • Virtual data Grid middleware services for data‐intensive science

    Yong Zhao;Michael Wilde;Ian Foster;Ian Foster;Jens Voeckler

  • Predicting tie strength in a new medium

    Eric Gilbert

  • "Did You Suspect the Post Would be Removed?": Understanding User Reactions to Content Removals on Reddit

    Shagun Jhaver;Darren Scott Appling;Eric Gilbert;Amy Bruckman

Frequent Co-Authors

Karrie Karahalios
Karrie Karahalios University of Illinois at Urbana-Champaign
Amy Bruckman
Amy Bruckman Georgia Institute of Technology
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Thomas H. Jordan
Thomas H. Jordan University of Southern California
Jacob Eisenstein
Jacob Eisenstein Google (United States)
Loren Terveen
Loren Terveen University of Minnesota
Michael Wilde
Michael Wilde Argonne National Laboratory
Lyndon Kennedy
Lyndon Kennedy Apple (United States)
Elizabeth M. Gerber
Elizabeth M. Gerber Northwestern University
Cliff Lampe
Cliff Lampe University of Michigan–Ann Arbor

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