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#Tech, Media, Telecom

Cross-Cutting Issues for DSA Systemic Risk Management: An Agenda for Cooperation

  • July 10, 2024
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Download the report here

Designated Very Large Online Platforms (VLOPs) and Very Large Online Search Engines (VLOSEs) under the Digital Services Act (DSA) had to present their first systemic risk assessments in August 2023, with public versions of these assessments along with the audit reports due to be published in autumn of 2024. While the main purpose of these assessments is to evaluate individual compliance, mitigation of systemic risks requires a wider view, spanning different risk areas and cutting across different services.   

In this new CERRE Tech, Media and Telecom report, authors Sally Broughton Micova, Daniel Schnurr, Andrea Calef and Bryn Enstone, argue for a meta-analysis across the individual services’ risk assessments, steered by the Digital Services Board and the European Commission and involving academics and civil society, to understand what the most pressing sources of systemic risk are, where common vulnerabilities arise, and what mitigations can effectively reduce negative effects. 

The authors examine the characteristics of VLOPs and VLOSEs with respect to their scale, service type, and business model, as well as the governance mechanisms available to them before considering common factors in risk assessment and prevention of harm. These include several of the elements that Article 34 of the DSA instructs service providers to consider in their risk assessment, such as the design of recommender systems, content moderation systems, and data-related practices. 

The resulting recommendations lay out a research agenda for the European Commission and the Digital Services Board (DSB), as well as academics and other relevant stakeholders, which is intended to contribute directly to the assessment of systemic risk in actual practice and to wider debates about the governance of digital services. These include: 

  • An inclusive process to set priorities among the risk areas for meta-analysis, taxonomy of harms, and strategies for consistent use of information-gathering tools across services and over time. 
  • Harmonisation of definitions of core concepts and negative effects, understandings of norms and policy goals, and data gathering and reporting, through meta-analysis for each of the risk categories.    
  • A list of potential risk-source areas where further meta-analysis by independent researchers is needed. 
  • Meta-analysis, and possibly experimentation, on potential mitigation measures to determine best practices. 
  • Identifying opportunities where additional cooperation for risk mitigation between service providers and stakeholders is needed. 

 

This report is part of the ‘Systemic Risk in Digital Services: Operationalising’ project, which includes two other reports focusing on the use cases of electoral integrity (May 2024) and terrorist content (upcoming). This project builds on our earlier report ‘Elements for Effective Systemic Risk Assessment under the DSA’, published in July 2023.  

Author(s)
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Sally Broughton Micova (4)
Sally Broughton Micova
Academic Co-Director
and University of East Anglia

Sally Broughton Micova is a CERRE Academic Co-Director and an Associate Professor in Communications Policy and Politics at the University of East Anglia (UEA). She is also a member of UEA’s Centre for Competition Policy.

Her research focuses on media and communications policy in Europe.

She completed her PhD in the Department of Media and Communications at the London School of Economics and Political Science (LSE), after which she was an LSE Teaching and Research Fellow in Media Governance and Policy and Deputy Director of the LSE Media Policy Project.

Sally Broughton Micova is a CERRE Academic Co-Director and an Associate Professor in Communications Policy and Politics at the University of East Anglia (UEA). She is also a member of UEA’s Centre for Competition Policy.

Her research focuses on media and communications policy in Europe.

She completed her PhD in the Department of Media and Communications at the London School of Economics and Political Science (LSE), after which she was an LSE Teaching and Research Fellow in Media Governance and Policy and Deputy Director of the LSE Media Policy Project.

Daniel Schnurr (2)
Daniel Schnurr
Research Fellow
and University of Regensburg

Daniel Schnurr is a CERRE Research Fellow and a Professor of Information Systems at the University of Regensburg, where he holds the Chair of Machine Learning and Uncertainty Quantification.

Previously, he led the Data Policies research group at the University of Passau. He received his Ph.D. in Information Systems from the Karlsruhe Institute of Technology in 2016, where he also completed his B.Sc. and M.Sc. in Information Engineering and Management. Daniel Schnurr has published in leading journals in Information Systems and Economics on competition and data sharing in digital markets, regulation of data-driven market power, and competition and cooperation in telecommunications markets.

His current research focuses on the role of artificial intelligence in competition, privacy and data sharing in digital markets as well as regulation of AI, cloud computing and the data economy.

Daniel Schnurr is a CERRE Research Fellow and a Professor of Information Systems at the University of Regensburg, where he holds the Chair of Machine Learning and Uncertainty Quantification.

Previously, he led the Data Policies research group at the University of Passau. He received his Ph.D. in Information Systems from the Karlsruhe Institute of Technology in 2016, where he also completed his B.Sc. and M.Sc. in Information Engineering and Management. Daniel Schnurr has published in leading journals in Information Systems and Economics on competition and data sharing in digital markets, regulation of data-driven market power, and competition and cooperation in telecommunications markets.

His current research focuses on the role of artificial intelligence in competition, privacy and data sharing in digital markets as well as regulation of AI, cloud computing and the data economy.

AndreaCalef
Andrea Calef
Lecturer in Economics
University of East Anglia

Andrea Calef is a Lecturer in Economics at the School of Economics of the University of East Anglia and a research member of the Centre for Competition Policy. Over time his research interest has spanned through topics, such as banking, systemic risk and international finance, ESG, Impact and Ethical Investing, FinTech and Crypto as well as competition.

Andrea Calef is a Lecturer in Economics at the School of Economics of the University of East Anglia and a research member of the Centre for Competition Policy. Over time his research interest has spanned through topics, such as banking, systemic risk and international finance, ESG, Impact and Ethical Investing, FinTech and Crypto as well as competition.

Bryn Enstone
Bryn Enstone
Research Associate
Centre of Competition Policy, University of East Anglia

Bryn Enstone, is a research associate at the Centre of Competition Policy at the University of East Anglia and a senior research associate within the School of politics, Philosophy, Language and Communication studies at the University of East Anglia. He holds an MA in reasoning from the University of Kent and an MsC in International Accountancy and Financial Management from the University of East Anglia.

Bryn Enstone, is a research associate at the Centre of Competition Policy at the University of East Anglia and a senior research associate within the School of politics, Philosophy, Language and Communication studies at the University of East Anglia. He holds an MA in reasoning from the University of Kent and an MsC in International Accountancy and Financial Management from the University of East Anglia.

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