The Frameworks of Trust and Trustlessness Around Algorithmic Control Technologies: A Lost Sense of Community download

In: Public Governance and Emerging Technologies Values: Trust, and Regulatory Compliance, Springer, 2025, ISBN: 9783031847486

Abstract

Certain techno-political infrastructures, e.g. blockchains, aim to replace our existing social and institutional modes of producing trust as a social resource. Can they successfully do that, without the reliance on the very same institutions, which could safeguard and guarantee their trustworthiness in the first place? By now we have more than a decade of experience trying to build autonomous, code-driven, private ordering infrastructures, designed to complement, disrupt, or replace both private and public institutions. The revolution of these ‘trustless’ digital technologies is yet to happen, raising concerns about their promises to address the existing trust challenges of centralized institutions, their capacity to eliminate the societal reliance on trust, and the potential consequences thereof. Therefore, in this chapter, we pose the following questions: How does trustlessness through the elimination of more-or-less trusted middlemen impact our values and our sense of belonging? How does the decision to end trust maintenance through trustless technologies impact the cultivation of a sense of community within a society? This chapter addresses these questions by critically reviewing the claims surrounding the trustlessness of automated, code-as-law-based governance systems in the field of digital identity management—an area that continues to command the attention of various organizations and institutions.

algoritmen, trust

Bibtex

Safeguarding the Journalistic DNA: Attitudes towards the Role of Professional Values in Algorithmic News Recommender Designs external link

Bastian, M., Helberger, N. & Makhortykh, M.
Digital Journalism, 2021

Abstract

In contrast to the extensive debate on the influence of algorithmic news recommenders (ANRs) on individual news diets, the interaction between such systems and journalistic norms and missions remain under-studied. The change in the relationship between journalists and the audience caused by the transition to personalized news delivery has profound consequences for the understanding of what journalism should be. To investigate how media practitioners perceive the impact of ANRs on their professional norms and media organizations’ missions, and how these norms and missions can be integrated into ANR design, this article looks at two quality newspapers from the Netherlands and Switzerland. Using an interview-based approach conducted with practitioners in different departments (e.g. journalists, data scientists, and product managers), it explores how ANRs interact with organization-centred and audience-centred journalistic values. The paper’s findings indicate a varying degree of prominence for specific values between individual practitioners in the context of their perception of ANRs. At the same time, the paper also reveals that some organization-centred (e.g. transparency) and most audience-centred (e.g. usability) values are viewed as prerequisites for successful ANR design by practitioners with different professional backgrounds.

algorithmic news recommenders, algoritmen, frontpage, Journalistiek, Mediarecht

Bibtex

Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions external link

Helberger, N., Huh, J., Milne, G. & Strycharz, J.
Journal of Advertising, vol. 49, num: 4, pp: 377-393, 2020

Abstract

To advance the emerging research field of computational advertising this article describes the new computational advertising ecosystem, identifies key actors within it and interactions among them, and discusses future research agendas. Specifically, we propose systematic conceptualization for the redefined advertising industry, consumers, government, and technology environmental factors, and discuss emerging and anticipated tensions that arise in the macro and exogenous factors surrounding the new computational advertising industry, leading to suggestions for future research directions. From multidisciplinary angles, areas of tension and related research questions are explored from advertising, business, computer science, and legal perspectives. The proposed research agendas include exploring transparency of computational advertising practice and consumer education; understanding the trade-off between explainability and performance of algorithms; exploring the issue of new consumers as free data laborers, data as commodity, and related consumer agency challenges; understanding the relationship between algorithmic transparency and consumers’ literacy; evaluating the trade-off between algorithmic fairness and privacy protection; examining legal and regulatory issues regarding power imbalance between actors in the computational advertising ecosystem; and studying the trade-off between technological innovation and consumer protection and empowerment.

algoritmen, consumentenbescherming, Consumentenrecht, frontpage, Privacy, reclamerecht

Bibtex

Does everyone have a price? Understanding people’s attitude towards online and offline price discrimination external link

Internet Policy Review, vol. 8, num: 1, 2019

Abstract

Online stores can present a different price to each customer. Such algorithmic personalised pricing can lead to advanced forms of price discrimination based on the characteristics and behaviour of individual consumers. We conducted two consumer surveys among a representative sample of the Dutch population (N=1233 and N=1202), to analyse consumer attitudes towards a list of examples of price discrimination and dynamic pricing. A vast majority finds online price discrimination unfair and unacceptable, and thinks it should be banned. However, some pricing strategies that have been used by companies for decades are almost equally unpopular. We analyse the results to better understand why people dislike many types of price discrimination.

algoritmen, Consumentenrecht, frontpage, Price discrimination

Bibtex

Algoritmische verzuiling en filter bubbles: een bedreiging voor de democratie? external link

Zuiderveen Borgesius, F., Trilling, D., Möller, J., Eskens, S., Bodó, B., Vreese, C.H. de & Helberger, N.
Computerrecht, vol. 2016, num: 5, pp: 255-262, 2016

algoritmen, democratie, filter bubbles, nieuws, personalisatie

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