Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database

Publication date

2024-06

Authors

Kaushal, Rishabh
van de Kerkhof, JacobISNI 0000000512624563
Goanta, CatalinaORCID 0000-0002-1044-9800ISNI 0000000419525608
Spanakis, Gerasimos
Iamnitchi, Anda

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

cc_by_nc_nd
taverne

Abstract

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.

Keywords

Taverne

Citation

Kaushal, R, van de Kerkhof, J, Goanta, C, Spanakis, G & Iamnitchi, A 2024, Automated Transparency : A Legal and Empirical Analysis of the Digital Services Act Transparency Database. in FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery, pp. 1121 - 1132. https://doi.org/10.1145/3630106.3658960