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

TL;DR

This paper evaluates the European Union's Digital Services Act Transparency Database, analyzing its effectiveness in promoting platform accountability through automated transparency reports, and finds mixed results with some transparency gains but ongoing compliance issues.

Contribution

It provides a legal and empirical analysis of the DSA Transparency Database, highlighting its strengths and limitations in enhancing platform transparency and accountability.

Findings

Some transparency improvements observed

Platforms retain discretion in transparency practices

Compliance remains inconsistent and problematic

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.