Search results
Results: 243
Number of items: 243
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Helberger, N., Bernstein, A., Schulz, W., & de Vreese, C. (2020). Challenging rabbit holes: towards more diversity in news recommendation systems. Web publication or website, Media@LSE. https://blogs.lse.ac.uk/medialse/2020/07/02/challenging-rabbit-holes-towards-more-diversity-in-news-recommendation-systems/ -
ERGA (2020). Notions of Disinformation and Related Concepts. (ERGA report). European Regulators Group for Audiovisual Media Services. https://erga-online.eu/wp-content/uploads/2021/01/ERGA-SG2-Report-2020-Notions-of-disinformation-and-related-concepts.pdf
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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/
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Helberger, N., Araujo, T., & de Vreese, C. H. (2020). Who is the fairest of them all? Public attitudes and expectations regarding automated decision-making. Computer Law and Security Review, 39, Article 105456. https://doi.org/10.1016/j.clsr.2020.105456
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Monzer, C., Moeller, J., Helberger, N., & Eskens, S. (2020). User perspectives on the news personalisation process: Agency, trust and utility as building blocks. Digital Journalism, 8(9), 1142-1162. https://doi.org/10.1080/21670811.2020.1773291
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Helberger, N., Poort, J., & Makhortykh, M. (2020). Four tales of sci-fi and information law. Internet Policy Review, 9(1). https://doi.org/10.14763/2020.1.1457
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Strycharz, J., Ausloos, J., & Helberger, N. (2020). Data Protection or Data Frustration? Individual Perceptions and Attitudes Towards the GDPR. European Data Protection Law Review, 6(3), 407-421. https://doi.org/10.21552/edpl/2020/3/10
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Bol, N., Strycharz, J., Helberger, N., van de Velde, B., & de Vreese, C. H. (2020). Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content. New Media & Society, 22(11), 1996-2017. https://doi.org/10.1177/1461444820924631
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Helberger, N., Huh, J., Milne, G., Strycharz, J., & Sundaram, H. (2020). Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions. Journal of Advertising, 49(4), 377-393. https://doi.org/10.1080/00913367.2020.1811179
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Araujo, T., Helberger, N., Kruikemeier, S., & de Vreese, C. H. (2020). In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & Society, 35(3), 611-623. https://doi.org/10.1007/s00146-019-00931-w
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