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However, by prioritizing traditional accuracy-focused optimization, these systems contribute to the formation of filter bubbles, restricting users\u2019 exposure to diverse viewpoints and exacerbating polarization. To address this issue, beyond-accuracy factors like diversity have been integrated into recommendation. Yet, such approaches can be ineffective and even unintentionally influence user opinions. This raises major ethical concerns as systems lack the legitimacy to shape opinions. This article presents the ADF framework, a novel approach designed to optimize accuracy, diversity, and fairness simultaneously. Unlike conventional models that manage fairness in a tradeoff, ADF establishes fairness as a core constraint. The framework relies on an innovative fairness-constrained diversification strategy, ensuring that users are exposed to a broader range of opinions, without being oriented toward specific viewpoints. ADF is adaptable to various diversity metrics and provides personalized diversification, independent of the underlying recommendation algorithms. Through real-world benchmark datasets and multiple recommendation models, experimental evaluation confirmed that ADF limits the impact on accuracy, enhances diversity, and crucially upholds fairness.<\/jats:p>","DOI":"10.1145\/3790097","type":"journal-article","created":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T21:10:53Z","timestamp":1769202653000},"page":"1-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Shift your Focus for the Greater Good: Improving Fairness at no cost for Accuracy and Diversity in News Recommender Systems"],"prefix":"10.1145","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1634-8856","authenticated-orcid":false,"given":"C\u00e9lina","family":"Treuillier","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Lorraine","place":["Nancy, France"]},{"name":"CNRS","place":["Nancy, France"]},{"name":"LORIA","place":["Nancy, France"]},{"name":"Human-IST Institute, University of Fribourg","place":["Nancy, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4252-4526","authenticated-orcid":false,"given":"Sylvain","family":"Castagnos","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Lorraine","place":["Nancy, France"]},{"name":"CNRS","place":["Nancy, France"]},{"name":"LORIA","place":["Nancy, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1513-914X","authenticated-orcid":false,"given":"Evan","family":"Dufraisse","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris-Saclay","place":["Gif-sur-Yvette, France"]},{"name":"CEA","place":["Gif-sur-Yvette, France"]},{"name":"LIST","place":["Gif-sur-Yvette, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2612-2009","authenticated-orcid":false,"given":"\u00d6zlem","family":"\u00d6zg\u00f6bek","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Norwegian University of Science and Technology","place":["Trondheim, Norway"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9876-6906","authenticated-orcid":false,"given":"Armelle","family":"Brun","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Lorraine","place":["Nancy, France"]},{"name":"CNRS","place":["Nancy, France"]},{"name":"LORIA","place":["Nancy, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,3,5]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3418487"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/1498759.1498766"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1033"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1804840115"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-demo.15"},{"key":"e_1_3_3_7_2","first-page":"1","article-title":"Modeling users\u2019 heterogeneous taste with diversified attentive user profiles","author":"Barkan Oren","year":"2023","unstructured":"Oren Barkan, Tom Shaked, Yonatan Fuchs, and Noam Koenigstein. 2023. 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