activity
20202026
most citedBuilding Human Values into Recommender Systems: An Interdisciplinary Synthesis

107 citations · 284 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Informing AI Policy Assessment using Large-Scale Simulation of Interventions

Julia Barnett, Kimon Kieslich, Natali Helberger +1

As the rapid proliferation of AI systems and harms spurs efforts in AI governance around the world, prioritizing among competing policy options has become increasingly challenging…

cs.CY2025★ 105 cited

Tracking Walls, Take-It-Or-Leave-It Choices, the GDPR, and the ePrivacy Regulation

Frederik J. Zuiderveen Borgesius, Sanne Kruikemeier, Sophie C. Boerman +1

On the internet, we encounter take-it-or-leave-it choices regarding our privacy on a daily basis. In Europe, online tracking for targeted advertising generally requires the interne…

cs.HC2024★ 42 cited

Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How

Abdallah El Ali, Karthikeya Puttur Venkatraj, Sophie Morosoli +3

Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically i…

cs.CY2024

My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts

Kimon Kieslich, Natali Helberger, Nicholas Diakopoulos

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, an…

cs.CY2023★ 4 cited

Anticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News Environment

Kimon Kieslich, Nicholas Diakopoulos, Natali Helberger

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 inc…

cs.IR2022★ 107 cited

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Jonathan Stray, Alon Halevy, Parisa Assar +18

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 effe…

cs.IR2020★ 8 cited

Recommenders with a mission: assessing diversity in newsrecommendations

Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui +3

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 to…

cs.CY2020★ 18 cited

Diversity in News Recommendations

Abraham Bernstein, Claes de Vreese, Natali Helberger +19

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. Tod…