DE-BIAS: Detecting and contextualizing biased language in metadata

Cultural heritage institutions in Europe and beyond have been undertaking work to describe and catalogue the historical objects in their collections for decades. However, once created, catalogue data are rarely updated to reflect changes in language and society. As a result, many object and collection descriptions that once fit into popular social narratives in some cases use language that is offensive, inappropriate or even harmful. The DE-BIAS project developed a tool and frameworks to detect, address and contextualize biassed language in cultural heritage collections' metadata.