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Results: 5
Number of items: 5
  • Open Access
    Heseltine, M. (2025). Asymmetric Polarization in Online Media Engagement in the United States Congress. International Journal of Press/Politics, 30, 299-325. https://doi.org/10.1177/19401612231211800
  • Open Access
    Heseltine, M., & Clemm von Hohenberg, B. (2025). Large language models as a substitute for human experts in annotating political text. Research and Politics, 11, 1-10. https://doi.org/10.1177/20531680241236239
  • Open Access
    Askari, H., Chhabra, A., Von Hohenberg, B. C., Heseltine, M., & Wojcieszak, M. (2024). Incentivizing news consumption on social media platforms using large language models and realistic bot accounts. PNAS nexus, 3(9), Article pgae368. https://doi.org/10.1093/pnasnexus/pgae368
  • Open Access
    Stolwijk, S. B., Oschatz, C., Heseltine, M., & Trilling, D. (2023). Refining deliberative standards for online political communication: Introducing a summative approach to designing deliberative recommender systems. In S. Vrijenhoek, L. Michiels, J. Kruse, A. Starke, J. Viader Guerrero, & N. Tintarev (Eds.), Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023): co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023) : Singapore, Singapore, September 19, 2023 Article 5 (CEUR workshop proceedings; Vol. 3639). CEUR-WS. https://ceur-ws.org/Vol-3639/paper5.pdf
  • Open Access
    Heseltine, M. (2023). Assessing Trump's presidential endorsements while in and out of office (2018–2022). Electoral Studies, 85, Article 102661. https://doi.org/10.1016/j.electstud.2023.102661
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