Search results
Results: 257
Number of items: 257
-
Reuver, M., Mattis, N., Sax, M., Verberne, S., Tintarev, N., Helberger, N., Moeller, J., Vrijenhoek, S., Fokkens, A., & van Atteveldt, W. (2021). Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content. In A. Field, S. Prabhumoye, M. Sap, Z. Jin, J. Zhao, & C. Brockett (Eds.), The 1st Workshop on NLP for Positive Impact: NLP4PosImpact 2021 : proceedings of the workshop : August 5, 2021, Bangkok, Thailand (online) (pp. 47-59). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.nlp4posimpact-1.6 -
Zarouali, B., Helberger, N., & de Vreese, C. H. (2021). Investigating algorithmic misconceptions in a media context: Source of a new digital divide? Media and Communication, 9(4), 134-144. https://doi.org/10.17645/mac.v9i4.4090
-
Helberger, N., & Zarouali, B. (2021). 'Voetbal Hoort niet bij Robots': Attitudes Regarding the Use of Artificial Intelligence in Refereeing. In M. Senftleben, J. Poort, M. van Eechoud, S. van Gompel, & N. Helberger (Eds.), Intellectual Property and Sports: Essays in Honour of P. Bernt Hugenholtz (pp. 395-409). (Information Law Series; Vol. 46). Wolters Kluwer. https://wkldigitalbooks.integra.co.in/Customer/Home/BookDetails?TitleGUID=E83BCD37-6937-42D2-90E8-0C2BD00AAE91
-
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
-
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
-
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/
-
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/
-
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
-
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
Page 11 of 26