# Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing

arXiv: https://arxiv.org/abs/2601.18405 · HTML: https://mlsanity.com/paper/2601.18405/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Jan 2026.

## Built on by (most cited first, 1 of 1)

- [The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok](https://mlsanity.com/paper/2603.05653/) (2026)

## Abstract (arXiv)

Algorithms of online platforms are required under the Digital Services Act (DSA) to comply with specific obligations concerning algorithmic transparency, user protection and privacy. To verify compliance with these requirements, DSA mandates platforms to undergo independent audits. Little is known about current auditing practices and their effectiveness in ensuring such compliance. To this end, we bridge regulatory and technical perspectives by critically examining selected audit reports across three critical algorithmic-related provisions: restrictions on profiling minors, transparency in recommender systems, and limitations on targeted advertising using sensitive data. Our analysis shows significant inconsistencies in methodologies and lack of technical depth when evaluating AI-powered systems. To enhance the depth, scale, and independence of compliance assessments, we propose to employ algorithmic auditing -- a process of behavioural assessment of AI algorithms by means of simulating user behaviour, observing algorithm responses and analysing them for audited phenomena.