Publisher
Springer Nature Switzerland
Reference38 articles.
1. Beckett, C. (2020, September 28). An algorithm for empowering public service news. Retrieved November 29, 2021, from https://blogs.lse.ac.uk/polis/2020/09/28/this-swedish-radio-algorithm-gets-reporters-out-in-society/
2. Bodó, B., Helberger, N., Eskens, S., & Möller, J. (2019). Interested in Diversity: The role of user attitudes, algorithmic feedback loops, and policy in news personalization. Digital Journalism, 7(2), 206–229. https://doi.org/10.1080/21670811.2018.1521292
3. Bountouridis, D., Harambam, J., Makhortykh, M., Marrero, M., Tintarev, N., & Hauff, C. (2019). SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments. Proceedings of the Conference on Fairness, Accountability, and Transparency - FAT* ’19, 150–159. Atlanta, GA, USA: ACM Press. https://doi.org/10.1145/3287560.3287583
4. Bozdag, E., & van den Hoven, J. (2015). Breaking the filter bubble: Democracy and design. Ethics and Information Technology, 17(4), 249–265. https://doi.org/10.1007/s10676-015-9380-y
5. Castells, P., Hurley, N. J., & Vargas, S. (2015). Novelty and Diversity in Recommender Systems. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 881–918). Boston, MA: Springer US. https://doi.org/10.1007/978-1-4899-7637-6_26