Search engines promise to deliver relevant results based on our queries. Yet, increasingly, evidence suggests that algorithms may amplify existing biases, creating a scenario where privileged viewpoints dominate the search landscape. This phenomenon, known as algorithmic bias, erodes the neutrality that is fundamental to information retrieval. The

Search engines dominate the flow of information, shaping Favoritismus algorithmi – Algorithmic favoritism (e.g. our understanding of the world. However, their algorithms, often shrouded in secrecy, can perpetuate and amplify existing societal biases. This bias, arising from the data used to train these algorithms, can lead to discriminatory conse