Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database
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Abstract (arXiv)
The Digital Services Act (DSA) is a much awaited platforms liability reform in the European Union that was adopted on 1 November 2022 with the ambition to set a global example in terms of accountability and transparency. Among other obligations, the DSA emphasizes the need for online platforms to report on their content moderation decisions (`statements of reasons' - SoRs), which is a novel transparency mechanism we refer to as automated transparency in this study. SoRs are currently made available in the DSA Transparency Database, launched by the European Commission in September 2023. The DSA Transparency Database marks a historical achievement in platform governance, and allows investigations about the actual transparency gains, both at structure level as well as at the level of platform compliance. This study aims to understand whether the Transparency Database helps the DSA to live up to its transparency promises. We use legal and empirical arguments to show that while there are some transparency gains, compliance remains problematic, as the current database structure allows for a lot of discretion from platforms in terms of transparency practices. In our empirical study, we analyze a representative sample of the Transparency Database (131m SoRs) submitted in November 2023, to characterise and evaluate platform content moderation practices.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Apr 2024.
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Citing papers per year: 2024: 1; 2025: 0; 2026: 6.
7 papers.
- 2024Acceptable Use Policies for Foundation Modelscited by 12
- 2026"Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage Systemcited by 1
- 2026Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalizationcited by 1
- 2026Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscurescited by 0
- 2026Visible to the Court: How AI Is (and Isn't) Litigated in U.S. Federal Court Opinionscited by 0
- 2026ChildSafeAds Shared Task 2026: Commercial Content in Child-Facing YouTube Videoscited by 0
- 2026A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventoriescited by 0
- 2026A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories21 Sep 2026
- 2026Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization9 Sep 2026
- 2026ChildSafeAds Shared Task 2026: Commercial Content in Child-Facing YouTube Videos19 Aug 2026
- 2026Visible to the Court: How AI Is (and Isn't) Litigated in U.S. Federal Court Opinions26 Jul 2026
- 2026"Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage System11 Jun 2026
- 2026Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures16 Apr 2026
- 2024Acceptable Use Policies for Foundation Models29 Aug 2024