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However, this is not expressive of the social science\u2019s interpretation of diversity, which accounts for a news organization\u2019s norms and values and which we here refer to as\n            <jats:italic>normative<\/jats:italic>\n            diversity. We introduce RADio, a versatile metrics framework to evaluate recommendations according to these normative goals.\n          <\/jats:p>\n          <jats:p>RADio introduces a rank-aware Jensen Shannon (JS) divergence. This combination accounts for (i) a user\u2019s decreasing propensity to observe items further down a list and (ii) full distributional shifts as opposed to point estimates. We evaluate RADio\u2019s ability to reflect five normative concepts in news recommendations on the Microsoft News Dataset and six (neural) recommendation algorithms, with the help of our metadata enrichment pipeline. 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