e-Symposium 2023: Algorithmic auditing of political biases in recommender systems

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Author/s

Ivan Srba

About the resource/s

External independent and unobtrusive algorithmic audits offer a fresh perspective for understanding AI-based algorithms used in social media and search engines. These audits enable us to measure aspects of these algorithms that are usually hidden, such as their biases in political information distribution, impact on political discourse, and potential contribution to misinformation and radicalisation. Their importance has been acknowledged not only in research but also in EU legislation, particularly in the Digital Service Act (Article 28).

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