Trust and Safety: What’s in a name? external link

Abstract

Trust and Safety teams often carry a vision that sets them apart from other units within the tech industry. Using Giddens' structuration theory and Kroeger's take on facework as a guiding lens, we try to understand whether T&S can serve as a bridge between platform logic and public interest, between self-regulation and state regulation, harm mitigation and accountability. We are drawing on insights from semi-structured interviews with T&S professionals and arrive at two main observations. First, institutional "facework" is largely absent in practice. T&S staff lack the visibility, resources, and authority to enact their role meaningfully. Second, many companies are deprioritizing T&S. If taken seriously, however, T&S must be embedded with product design, business models, and institutional accountability. If the focus of these departments becomes performative legal compliance and the outsourcing of activities to offshore locations and machines, an opportunity to protect users and a democratic discourse may be lost.

Content moderation, governance, Platforms, Social media, trust

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AI governance in the spotlight: an empirical analysis of Dutch political parties’ strategies for the 2023 elections external link

Morosoli, S., Kieslich, K., Resendez, V. & Drunen, M. van
Journal of Information Technology & Politics, 2025

Abstract

AI-based technologies are having an increasing impact on society, which raises the question of how this technology will be addressed politically. Thereby, political actors have a dual role to play: They can provide investment to enhance the development and subsequent adoption of these systems while also bearing the responsibility of safeguarding citizens from harm. Hereby, the degree of politicization of the topic, i.e. if a topic is part of the public and political debate, has an immense influence on the political approach to tackle the issue. The more a topic is politicized, the more urgency political parties experience to develop concrete governance approaches. Yet, existing research has not analyzed party programs in terms of discourse around artificial intelligence and policy recommendations. This study focuses on the Netherlands and explores how Dutch political parties discuss AI in their political programs for the 2023 election. We conducted a manual content analysis of all party manifestos for the 2023 elections. Our analysis shows that most parties do not place a big emphasis on AI. And if so, most of the policy proposals are rather reactive to issues that happened in the past, rather than taking a prospective governance approach.

Artificial intelligence, governance, Politics

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Towards a Normative Perspective on Journalistic
AI: Embracing the Messy Reality of Normative
Ideals
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Helberger, N., Drunen, M. van, Möller, J., Vrijenhoek, S. & Eskens, S.
Digital Journalism, vol. 10, iss. : 10, pp: 1605-1626, 2022

Abstract

Few would disagree that AI systems and applications need to be “responsible,” but what is “responsible” and how to answer that question? Answering that question requires a normative perspective on the role of journalistic AI and the values it shall serve. Such a perspective needs to be grounded in a broader normative framework and a thorough understanding of the dynamics and complexities of journalistic AI at the level of people, newsrooms and media markets. This special issue aims to develop such a normative perspective on the use of AI-driven tools in journalism and the role of digital journalism studies in advancing that perspective. The contributions in this special issue combine conceptual, organisational and empirical angles to study the challenges involved in actively using AI to promote editorial values, the powers at play, the role of economic and regulatory conditions, and ways of bridging academic ideals and the messy reality of the real world. This editorial brings the different contributions into conversation, situates them in the broader digital journalism studies scholarship and identifies seven key-take aways.

Artificial intelligence, governance, Journalism, Media law, normative perspective, professional values, Regulation

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Toward a Critique of Algorithmic Violence external link

Bellanova, R., Irion, K., Lindskov Jacobsen, K., Ragazzi, F., Saugmann, R. & Suchman, L.
International Political Sociology, vol. 15, num: 1, pp: 121–150, 2021

Abstract

Questions about how algorithms contribute to (in)security are under discussion across international political sociology. Building upon and adding to these debates, our collective discussion foregrounds questions about algorithmic violence. We argue that it is important to examine how algorithmic systems feed (into) specific forms of violence, and how they justify violent actions or redefine what forms of violence are deemed legitimate. Bringing together different disciplinary and conceptual vantage points, this collective discussion opens a conversation about algorithmic violence focusing both on its specific instances and on the challenges that arise in conceptualizing and studying it. Overall, the discussion converges on three areas of concern—the violence undergirding the creation and feeding of data infrastructures; the translation processes at play in the use of computer/machine vision across diverse security practices; and the institutional governing of algorithmic violence, especially its organization, limitation, and legitimation.

affordences, algorithmic violence, Artificial intelligence, cloud computing, frontpage, governance, harm, interdisciplinary, machine learning

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Operationalizing Research Access in Platform Governance: What to learn from other industries? external link

Abstract

A new study published by AlgorithmWatch, in cooperation with the European Policy Centre and the University of Amsterdam’s Institute for Information Law, shows that the GDPR needn’t stand in the way of meaningful research access to platform data; looks to health and environmental sectors for best practices in privacy-respecting data sharing frameworks.

Facebook, frontpage, governance, Platforms, research access

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European Regulation of Smartphone Ecosystems external link

European Data Protection Law Review (EDPL), vol. 5, num: 4, pp: 476-491, 2019

Abstract

For the first time, two pieces of EU legislation will specifically target smartphone ecosystems in relation to smartphone and mobile software (eg, iOS and Android) privacy, and use and monetisation of data. And yet, both pieces of legislation approach data use and data monetisation from radically contrasting perspectives. The first is the proposed ePrivacy Regulation, which seeks to provide enhanced protection against user data monitoring and tracking in smartphones, and safeguard privacy in electronic communications. On the other hand, the recently enacted Platform-to-Business Regulation 2019, seeks to bring fairness to platform-business user relations (including app stores and app developers), and is crucially built upon the premise that the ability to access and use data, including personal data, can enable important value creation in the online platform economy. This article discusses how these two Regulations will apply to smartphone ecosystems, especially relating to user and device privacy. The article analyses the potential tension points between the two sets of rules, which result from the underlying policy objectives of safeguarding privacy in electronic communications and the functioning of the digital economy in the emerging era of platform governance. The article concludes with a discussion on how to address these issues, at the intersection of privacy and competition in the digital platform economy.

frontpage, governance, Platforms, Privacy, Regulering, smartphones

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