Search results
Results: 246
Number of items: 246
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Helberger, N., Eskens, S., Strycharz, J., Bouchè, G., van Hoboken, J., van Mil, J., Toh, J., Appelman, N., van Apeldoorn, J., van Eechoud, M., van Doorn, N., Sax, M., & de Vreese, C. (2021). Conditions for technological solutions in a COVID-19 exit strategy, with particular focus on the legal and societal conditions: report for ZonMw. IViR, University of Amsterdam. https://www.ivir.nl/publicaties/download/covid-report.pdf -
Dobber, T., Metoui, N., Trilling, D., Helberger, N., & de Vreese, C. (2021). Do (microtargeted) deepfakes have real effects on political attitudes? International Journal of Press/Politics, 26(1), 69-91. https://doi.org/10.1177/1940161220944364 -
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/ -
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 -
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 -
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 -
Helberger, N. (2020). The Political Power of Platforms: How Current Attempts to Regulate Misinformation Amplify Opinion Power. Digital Journalism, 8(6), 842-854. https://doi.org/10.1080/21670811.2020.1773888 -
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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