All Stories

  1. The Elusiveness of Detecting Political Bias in Language Models: The Impact of Question Wording

    Article • October 2024, ACM (Association for Computing Machinery)

    Kevin Roitero, Riccardo Lunardi

  2. Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models

    Article • October 2024, ACM (Association for Computing Machinery)

    Kevin Roitero, Gianluca D’Abrosca

  3. Understanding the Barriers to Running Longitudinal Studies on Crowdsourcing Platforms

    Article • ACM Transactions on Social Computing, July 2024, ACM (Association for Computing Machinery)

    Michael Soprano, Kevin Roitero, Gianluca Demartini

  4. Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection

    Article • July 2024, ACM (Association for Computing Machinery)

    Kevin Roitero

  5. Data Bias Management

    Article • Communications of the ACM, December 2023, ACM (Association for Computing Machinery)

    Gianluca Demartini, Kevin Roitero

  6. How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments

    Article • ACM Transactions on Information Systems, May 2023, ACM (Association for Computing Machinery)

    Kevin Roitero, Gianluca Demartini, Michael Soprano

  7. Combining Human and Machine Confidence in Truthfulness Assessment

    Article • Journal of Data and Information Quality, July 2022, ACM (Association for Computing Machinery)

    Kevin Roitero, Gianluca Demartini, Damiano Spina

  8. Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments

    Article • April 2022, ACM (Association for Computing Machinery)

    Kevin Roitero, Gianluca Demartini

  9. Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-Shelf

    Article • February 2022, ACM (Association for Computing Machinery)

    Kevin Roitero, Michael Soprano