Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866915755975507968 |
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| author | Solarova, Sara Mesarčík, Matúš Pecher, Branislav Srba, Ivan |
| author_facet | Solarova, Sara Mesarčík, Matúš Pecher, Branislav Srba, Ivan |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2601_18405 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing Solarova, Sara Mesarčík, Matúš Pecher, Branislav Srba, Ivan Computers and Society Human-Computer Interaction Information Retrieval Social and Information Networks 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. |
| title | Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing |
| topic | Computers and Society Human-Computer Interaction Information Retrieval Social and Information Networks |
| url | https://arxiv.org/abs/2601.18405 |