algorithmic governance; decision-making ; new media; access to information; public deliberation
Radu Roxana, Amon Cedric (2021), The governance of 5G infrastructure: between path dependency and risk-based approaches, in
Journal of Cybersecurity, 7(1), 1-16.
Radu Roxana (2021), Steering the governance of artificial intelligence: national strategies in perspective, in
Policy and Society, 1-16.
Radu Roxana (2020), Fighting the ‘Infodemic’: Legal Responses to COVID-19 Disinformation, in
Social Media and Society, 1.
Radu Roxana, Hausding Michael (2020), Consolidation in the DNS resolver market: how much, how fast, how dangerous?, in
Journal of Cyber Policy, 1.
Radu Roxana (2019), The Internet has always run on multistakeholder approaches, in Dreyer Stephan, Kettemann Matthias (ed.), Hans Bredow Institute, Berlin, 46.
Radu Roxana (2019),
Negotiating Internet Governance, Oxford University Press, Oxford.
Internet developments and algorithmic advances have been intrinsically linked in recent years, one powering the other. The extensive deployment of algorithms in managing and curating knowledge online evolved towards their integration in decision-making processes at many levels, from standard-setting to sanctioning measures. This project analyses the effects of algorithmic control and corporate ownership on the (re)constitution of public deliberation space(s). Building on an original analytical framework for governance mechanisms, it critically examines emerging rules and norms for algorithm-driven access to information on a hard-soft law continuum. The dimensions examined here apply to past and current regulatory initiatives, divided into three categories: legal enshrinement (rules that are binding), institutional consolidation (specialised bodies and lines of work) and modelling (soft rules for shaping behaviour, ranging from good practices and guidelines to influential statements or resolutions). Investigating how the individual and the collective access to information is reshaped through key algorithmic decisions, this project makes an initial inroad into the multifaceted governance of new media and knowledge production. Mixed methods are employed here for capturing the complexity of the field, including an initial mapping exercise for existing regulatory and self-regulatory initiatives, as well as content analysis and expert interview. Beyond its academic value, this study is timely for policy-makers and media law experts, but also for developers working on machine learning and artificial intelligence.The findings of the 18-month research project will be disseminated in both academic and policy communities via specialised articles, policy briefs and contribution to public discussions.