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Bettina Berendt

Biographic Data

ID1933062
NAMEBettina Berendt
GIVEN NAMESBettina
FAMILY NAMEBerendt
SIGNATUREBERENDT B
AFFILIATIONSKU Leuven
ORCID0000-0002-8003-3413
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS1
WORKS AS AUTHOR6
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2025
H-INDEX1
  • A systematic review of echo chamber research

    Open Access•David Hartmann, Sonja Mei Wang et al.•ARTICLE•Journal of Computational Social…•2025

    This systematic review synthesizes research on echo chambers and filter bubbles to explore the reasons behind dissent regarding their existence, antecedents, and effects. It provides a taxonomy of conceptualizations and operationalizations, analyzing how measurement approaches and contextual factors influence outcomes. The review of 129 studies identifies variations in measurement approaches, as well as regional, political, cultural, and platform…

  • Decoding Algorithms

    Marijn Martens, Ralf De Wolf et al.•ARTICLE•Digital Journalism•2023

    Algorithmic recommenders are omnipresent in our daily lives. While a multitude of studies focus on how people use algorithmic recommenders, far too little attention has been devoted to how they perceive and understand these complex systems. In this study we focus on Algorithmic News Recommenders (ANR). Drawing on 26 semi-structured interviews, we investigated how laypeople decode Google News and Facebook News. In our method we employ the scroll-b…

  • Bias in data‐driven artificial intelligence systems—An introductory survey

    Open Access•Eirini Ntoutsi, Pavlos Fafalios et al.•ARTICLE•WIREs Data Mining and Knowledge…•2020

    Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…

  • AI in education

    Bettina Berendt, Allison Littlejohn et al.•ARTICLE•Learning Media and Technology•2020

    This article examines benefits and risks of Artificial Intelligence (AI) in education in relation to fundamental human rights. The article is based on an EU scoping study [Berendt, B., A. Littlejohn, P. Kern, P. Mitros, X. Shacklock, and M. Blakemore. 2017. Big Data for Monitoring Educational Systems. Luxembourg: Publications Office of the European Union. https://publications.europa.eu/en/publication-detail/-/publication/94cb5fc8-473e-11e7-aea8-0…

  • What is wrong about Robocops as consultants? A technology-centric critique of predictive policing

    Open Access•Martin Degeling, Bettina Berendt•ARTICLE•AI & Society•2018

  • Privacy Technologies and Policy

    Open Access•Bart Preneel, Bettina Berendt et al.•EDITOR•BOOK•Privacy Technologies and Policy•2016

  • Toward understanding online sentiment expression

    Open Access•Bo Gao, Bettina Berendt et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 1•References: 29

  • Toward understanding online sentiment expression

    Open Access•Bo Gao, Bettina Berendt et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 1•References: 29

  • Privacy Technologies and Policy

    Open Access•Bart Preneel, Bettina Berendt et al.•EDITOR•BOOK•Privacy Technologies and Policy•2016

  • Toward understanding online sentiment expression

    Open Access•Bo Gao, Bettina Berendt et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 1•References: 29

  • What is wrong about Robocops as consultants? A technology-centric critique of predictive policing

    Open Access•Martin Degeling, Bettina Berendt•ARTICLE•AI & Society•2018

  • Bias in data‐driven artificial intelligence systems—An introductory survey

    Open Access•Eirini Ntoutsi, Pavlos Fafalios et al.•ARTICLE•WIREs Data Mining and Knowledge…•2020

    Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…

  • AI in education

    Bettina Berendt, Allison Littlejohn et al.•ARTICLE•Learning Media and Technology•2020

    This article examines benefits and risks of Artificial Intelligence (AI) in education in relation to fundamental human rights. The article is based on an EU scoping study [Berendt, B., A. Littlejohn, P. Kern, P. Mitros, X. Shacklock, and M. Blakemore. 2017. Big Data for Monitoring Educational Systems. Luxembourg: Publications Office of the European Union. https://publications.europa.eu/en/publication-detail/-/publication/94cb5fc8-473e-11e7-aea8-0…

  • Decoding Algorithms

    Marijn Martens, Ralf De Wolf et al.•ARTICLE•Digital Journalism•2023

    Algorithmic recommenders are omnipresent in our daily lives. While a multitude of studies focus on how people use algorithmic recommenders, far too little attention has been devoted to how they perceive and understand these complex systems. In this study we focus on Algorithmic News Recommenders (ANR). Drawing on 26 semi-structured interviews, we investigated how laypeople decode Google News and Facebook News. In our method we employ the scroll-b…

  • A systematic review of echo chamber research

    Open Access•David Hartmann, Sonja Mei Wang et al.•ARTICLE•Journal of Computational Social…•2025

    This systematic review synthesizes research on echo chambers and filter bubbles to explore the reasons behind dissent regarding their existence, antecedents, and effects. It provides a taxonomy of conceptualizations and operationalizations, analyzing how measurement approaches and contextual factors influence outcomes. The review of 129 studies identifies variations in measurement approaches, as well as regional, political, cultural, and platform…

Computer Science (6 works) · Ethics and Social Impacts of AI (3 works) · Law (3 works) · Political science (3 works) · Big data (2 works) · Computer security (2 works) · Data science (2 works) · Engineering (2 works) · Privacy, Security, and Data Protection (2 works) · Psychology (2 works)

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