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Results: 25
Number of items: 25
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van Drunen, M. Z., Ausloos, J., Appelman, N. M. I. D., & Helberger, N. (2020). News Recommenders and Cooperative Explainability: Confronting the contextual complexity in AI explanations. (Paper Kenniscentrum Data & Maatschappij). KU Leuven, Centre for IT & IP Law. https://www.ivir.nl/nl/publicaties/news-recommenders-and-cooperative-explainability-confronting-the-contextual-complexity-in-ai-explanations/ -
Bastian, M., Makhortykh, M., Harambam, J., & van Drunen, M. (2020). Explanations of news personalisation across countries and media types. Internet Policy Review, 9(4). https://doi.org/10.14763/2020.4.1504
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van Drunen, M. Z., Helberger, N., & Bastian, M. (2019). Know your algorithm: what media organizations need to explain to their users about news personalization. International Data Privacy Law, 9(4), 220-235. https://doi.org/10.1093/idpl/ipz011
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Helberger, N., Leerssen, P., & van Drunen, M. (2019). Germany proposes Europe's first diversity rules for social media platforms. Web publication or website, LSE. https://blogs.lse.ac.uk/mediapolicyproject/2019/05/29/germany-proposes-europes-first-diversity-rules-for-social-media-platforms/
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Bodó, B., Helberger, N., van Drunen, M. Z., Sørensen, J. K., Möller, J. E., & Bastian, M. B. (2018). Using artificial intelligence in news intelligently: towards responsible algorithmic journalism. Web publication or website, LSE Media Policy Project Blog. http://blogs.lse.ac.uk/mediapolicyproject/2018/06/25/using-artificial-intelligence-in-news-intelligently-towards-responsible-algorithmic-journalism/
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