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

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arxiv 2404.02894 v2 pith:CKQ33PNK submitted 2024-04-03 cs.CY cs.SI

classification cs.CYcs.SI
keywords transparencydatabaseempiricalplatformplatformssorsallowsautomated
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From Reports to Reality: Testing Consistency in Instagram's Digital Services Act Compliance Data

    cs.CY 2025-07 conditional novelty 5.0 of 10

    An analysis of Instagram's DSA filings finds major arithmetic, cross-mechanism, and historical inconsistencies that undermine the reliability of its compliance reporting.

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