1. Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation

    Shivaram, Karthik, Ping Liu, Matthew Shapiro, Mustafa Bilgic, and Aron Culotta.
    In Proceedings of the 16th ACM Conference on Recommender Systems (RecSys), 2022 (Acceptance Rate : 17%)
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  2. The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms

    Liu, Ping, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, and Mustafa Bilgic.
    In Proceedings of the Web Conference (WebConf), 2021 (Acceptance Rate : 20.6%)
    [PDF] [Code] [Data]
  3. Characterizing Variation in Toxic Language by Social Context

    Bahar Radfar, Karthik Shivaram, Aron Culotta.
    Proceedings of the Fourteenth International AAAI Conference on Web and Social Media (ICWSM), 2021 (Acceptance Rate : 23%)
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  4. Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods

    Svitlana Volkova, Dustin Arendt, Emily Saldanha, Maria Glenski, Ellyn Ayton, Joseph Cottam, Sinan Aksoy, Brett Jefferson, Karthik Shivaram
    Journal of Computational and Mathematical Organization Theory 2021
    [PDF] [Code] [Data]
  5. Semi-automated information extraction from unstructured threat advisories

    Roshni R Ramnani, Karthik Shivaram, Shubhashis Sengupta
    Proceedings of the 10th Innovations in Software Engineering Conference (ISEC), 2017 (Acceptance Rate : 28%)
    [PDF] [Code] [Data]