Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Helberger, Natali"'
Autor:
Dodds, Tomás, Vandendaele, Astrid, Simon, Felix M., Helberger, Natali, Resendez, Valeria, Yeung, Wang Ngai
The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, journalistic, and managerial. Among the many challenges that could impact information s
Externí odkaz:
http://arxiv.org/abs/2410.01138
Autor:
Ali, Abdallah El, Venkatraj, Karthikeya Puttur, Morosoli, Sophie, Naudts, Laurens, Helberger, Natali, Cesar, Pablo
Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically impact users and the media sector, especially given global risks of mis
Externí odkaz:
http://arxiv.org/abs/2403.06823
As a general purpose technology without a concrete pre-defined purpose, personal chatbots can be used for a whole range of objectives, depending on the personal needs, contexts, and tasks of an individual, and so potentially impact a variety of value
Externí odkaz:
http://arxiv.org/abs/2401.14533
The tremendous rise of generative AI has reached every part of society - including the news environment. There are many concerns about the individual and societal impact of the increasing use of generative AI, including issues such as disinformation
Externí odkaz:
http://arxiv.org/abs/2310.06361
Autor:
Stray, Jonathan, Halevy, Alon, Assar, Parisa, Hadfield-Menell, Dylan, Boutilier, Craig, Ashar, Amar, Beattie, Lex, Ekstrand, Michael, Leibowicz, Claire, Sehat, Connie Moon, Johansen, Sara, Kerlin, Lianne, Vickrey, David, Singh, Spandana, Vrijenhoek, Sanne, Zhang, Amy, Andrus, McKane, Helberger, Natali, Proutskova, Polina, Mitra, Tanushree, Vasan, Nina
Publikováno v:
ACM Trans. Recomm. Syst. 2, 3, Article 20 (September 2024), 57 pages
Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively theorized an
Externí odkaz:
http://arxiv.org/abs/2207.10192
Autor:
Helberger, Natali.
Proefschrift Universiteit van Amsterdam.
Met index, lit. opg. - Met samenvatting in het Nederlands.
Met index, lit. opg. - Met samenvatting in het Nederlands.
Externí odkaz:
http://dare.uva.nl/document/78324
Autor:
Helberger, Natali
Publikováno v:
In Computer Law & Security Review: The International Journal of Technology Law and Practice April 2024 52
Autor:
Vrijenhoek, Sanne, Kaya, Mesut, Metoui, Nadia, Möller, Judith, Odijk, Daan, Helberger, Natali
News recommenders help users to find relevant online content and have the potential to fulfill a crucial role in a democratic society, directing the scarce attention of citizens towards the information that is most important to them. Simultaneously,
Externí odkaz:
http://arxiv.org/abs/2012.10185
Autor:
Bernstein, Abraham, de Vreese, Claes, Helberger, Natali, Schulz, Wolfgang, Zweig, Katharina, Baden, Christian, Beam, Michael A., Hauer, Marc P., Heitz, Lucien, Jürgens, Pascal, Katzenbach, Christian, Kille, Benjamin, Klimkiewicz, Beate, Loosen, Wiebke, Moeller, Judith, Radanovic, Goran, Shani, Guy, Tintarev, Nava, Tolmeijer, Suzanne, van Atteveldt, Wouter, Vrijenhoek, Sanne, Zueger, Theresa
Publikováno v:
Dagstuhl Perspectives Workshop: Diversity, Fairness, and Data-Drives Personalization in (News) Recommender Systems, Dagstuhl Manifestos (2021), Vol. 9, Issue 1, pp. 43-61
News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems
Externí odkaz:
http://arxiv.org/abs/2005.09495