Search results
Results: 257
Number of items: 257
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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 -
Zarouali, B., Brosius, A., Helberger, N., & de Vreese, C. H. (2021). WhatsApp marketing: A study on WhatsApp brand communication and the role of trust in self-disclosure. International Journal of Communication, 15, 252-276. https://ijoc.org/index.php/ijoc/article/view/15365/3318 -
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 -
van Hoboken, J., Appelman, N., van Duin, A., Blom, T., Zarouali, B., Ó Fathaigh, R., Seel, M., Stringhi, E., & Helberger, N. (2020). WODC-onderzoek: Voorziening voor verzoeken tot snelle verwijdering van onrechtmatige online content: Eindrapportage. (WODC rapport; No. 3108). Instituut voor Informatierecht, Universiteit van Amsterdam. https://repository.wodc.nl/handle/20.500.12832/2489 -
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 -
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 -
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/ -
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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