{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T17:44:01Z","timestamp":1790358241858,"version":"4.1.0"},"reference-count":59,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T00:00:00Z","timestamp":1785369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"crossref"}]},{"name":"MediaFutures: Research Centre for Responsible Media Technology and Innovation"},{"name":"Centres for Research-based Innovation scheme","award":["309339"],"award-info":[{"award-number":["309339"]}]},{"name":"Austrian Science Fund","award":["10.55776\/COE12"],"award-info":[{"award-number":["10.55776\/COE12"]}]},{"name":"Ada Lovelace Programme at the University of Klagenfurt"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Recomm. Syst."],"published-print":{"date-parts":[[2026,12,31]]},"abstract":"<jats:p>\n                    Personalized news recommendations have become a standard feature of large news aggregation services, optimizing user engagement through automated content selection. In contrast, legacy news media often approach personalization cautiously, striving to balance technological innovation with core editorial values. As a result, online platforms of traditional news outlets typically combine editorially curated content with algorithmically selected articles\u2014a strategy we term\n                    <jats:italic toggle=\"yes\">controlled personalization<\/jats:italic>\n                    . In this industry article, we evaluate the effectiveness of controlled personalization through an A\/B test conducted on the website of a major Norwegian legacy news organization. Our findings indicate that even a modest level of personalization yields substantial benefits. Specifically, we observe that users exposed to personalized content demonstrate higher click-through-rates and reduced navigation effort, suggesting improved discovery of relevant content. Moreover, our analysis reveals that controlled personalization contributes to greater content diversity and catalog coverage and in addition reduces popularity bias. Overall, our results suggest that controlled personalization can successfully align user needs with editorial goals, offering a viable path for legacy media to adopt personalization technologies while upholding journalistic values.\n                  <\/jats:p>","DOI":"10.1145\/3814614","type":"journal-article","created":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T10:27:19Z","timestamp":1777717639000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation"],"prefix":"10.1145","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0715-922X","authenticated-orcid":false,"given":"Marlene","family":"Holzleitner","sequence":"first","affiliation":[{"name":"University of Klagenfurt","place":["Klagenfurt, Austria"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6790-4651","authenticated-orcid":false,"given":"Stephan","family":"Leitner","sequence":"additional","affiliation":[{"name":"University of Klagenfurt","place":["Klagenfurt, Austria"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8382-7516","authenticated-orcid":false,"given":"Hanna","family":"Lind Jorgensen","sequence":"additional","affiliation":[{"name":"Schibsted","place":["Oslo, Norway"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3218-7080","authenticated-orcid":false,"given":"Christoph","family":"Schmitz","sequence":"additional","affiliation":[{"name":"Schibsted","place":["Oslo, Norway"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0651-6704","authenticated-orcid":false,"given":"Jacob","family":"Welander","sequence":"additional","affiliation":[{"name":"Schibsted","place":["Oslo, Norway"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4698-8507","authenticated-orcid":false,"given":"Dietmar","family":"Jannach","sequence":"additional","affiliation":[{"name":"University of Klagenfurt","place":["Klagenfurt, Austria"]},{"name":"University of Bergen","place":["Klagenfurt, Austria"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,30]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654805"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/301136.301208"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3687092"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1080\/03610927408827101"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3564284"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005951"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242610"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671474"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645745"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864761"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/2843948"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v42i3.18146"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3748106"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-023-09366-x"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1080\/21670811.2021.2021804"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.3390\/journalmedia2030031"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/2888422.2888443"},{"key":"e_1_3_3_20_2","unstructured":"Chengkai Huang Hongtao Huang Tong Yu Kaige Xie Junda Wu Shuai Zhang Julian McAuley Dietmar Jannach and Lina Yao. 2025. A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based Generative to Agentic Paradigms. arxiv:2504.16420. Retrieved from https:\/\/arxiv.org\/abs\/2504.16420"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482201"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3370082"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-015-9165-3"},{"key":"e_1_3_3_24_2","volume-title":"Recommender Systems Handbook","author":"Jannach Dietmar","year":"2021","unstructured":"Dietmar Jannach, Massimo Quadrana, and Paolo Cremonesi. 2021. Session-based recommendation. In Recommender Systems Handbook, Francesco Ricci, Bracha Shapira, and Lior Rokach (Eds.). Springer US."},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3592626.3592638"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/2926720"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.04.008"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_4"},{"key":"e_1_3_3_29_2","volume-title":"Proceedings of the INRA 2024 Workshop at ACM RecSys","author":"Klimashevskaia Anastasiia","year":"2024","unstructured":"Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, and Simen Buodd. 2024. Empowering editors: How automated recommendations support editorial article curation. In Proceedings of the INRA 2024 Workshop at ACM RecSys."},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-024-09406-0"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772758"},{"key":"e_1_3_3_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935878"},{"key":"e_1_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2944927"},{"key":"e_1_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00319"},{"key":"e_1_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/1719970.1719976"},{"key":"e_1_3_3_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340631.3394864"},{"key":"e_1_3_3_38_2","series-title":"CEUR Workshop Proceedings","volume-title":"Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum","volume":"1866","author":"Ludmann Cornelius A.","year":"2017","unstructured":"Cornelius A. Ludmann. 2017. Recommending news articles in the CLEF news recommendation evaluation lab with the data stream management system odysseus. In Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum(CEUR Workshop Proceedings, Vol. 1866). Retrieved from https:\/\/ceur-ws.org\/Vol-1866\/paper_111.pdf"},{"key":"e_1_3_3_39_2","series-title":"CEUR Workshop Proceedings","first-page":"53","volume-title":"Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, INRA@RecSys 2019, Copenhagen, Denmark, September 20, 2019","volume":"2554","author":"Misztal-Radecka Joanna","year":"2019","unstructured":"Joanna Misztal-Radecka, Dominik Rusiecki, Michal Zmuda, and Artur Bujak. 2019. Trend-responsive user segmentation enabling traceable publishing insights. A case study of a real-world large-scale news recommendation system. In Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, INRA@RecSys 2019, Copenhagen, Denmark, September 20, 2019(CEUR Workshop Proceedings, Vol. 2554). 53\u201362. Retrieved from https:\/\/ceur-ws.org\/Vol-2554\/paper_08.pdf"},{"key":"e_1_3_3_40_2","doi-asserted-by":"publisher","DOI":"10.1080\/1461670X.2022.2034522"},{"key":"e_1_3_3_41_2","volume-title":"The Filter Bubble: What the Internet is Hiding From You","author":"Pariser Eli","year":"2011","unstructured":"Eli Pariser. 2011. The Filter Bubble: What the Internet is Hiding From You. Penguin UK."},{"key":"e_1_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10043-x"},{"key":"e_1_3_3_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/2556420.2556510"},{"key":"e_1_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7552(97)00016-0"},{"key":"e_1_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.1007\/s42001-022-00179-3"},{"key":"e_1_3_3_46_2","volume-title":"Proceedings of the FATREC Workshop on Responsible Recommendation at RecSys 2017.","author":"Hoeve Maartje ter","year":"2017","unstructured":"Maartje ter Hoeve, Mathieu Heruer, Daan Odijk, Anne Schuth, Martijn Spitters, and Maarten de Rijke. 2017. Do news consumers want explanations for personalized news rankings? In Proceedings of the FATREC Workshop on Responsible Recommendation at RecSys 2017."},{"key":"e_1_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.1080\/21670811.2018.1493936"},{"key":"e_1_3_3_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688183"},{"key":"e_1_3_3_49_2","doi-asserted-by":"publisher","DOI":"10.1080\/21670811.2022.2026796"},{"key":"e_1_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3406522.3446019"},{"key":"e_1_3_3_51_2","unstructured":"Rongyao Wang Veronica Liesaputra and Zhiyi Huang. 2025. A Survey on LLM-based News Recommender Systems. arxiv:2502.09797. Retrieved from https:\/\/arxiv.org\/abs\/2502.09797"},{"key":"e_1_3_3_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3530257"},{"key":"e_1_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-024-01291-2"},{"key":"e_1_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688104"},{"key":"e_1_3_3_55_2","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645724"},{"key":"e_1_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.14778\/2311906.2311916"},{"key":"e_1_3_3_57_2","doi-asserted-by":"publisher","DOI":"10.1007\/11823865_6"},{"key":"e_1_3_3_58_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2017.07.006"},{"key":"e_1_3_3_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185994"},{"key":"e_1_3_3_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/3543873.3584651"}],"container-title":["ACM Transactions on Recommender Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3814614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T15:39:20Z","timestamp":1785425960000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3814614"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,30]]},"references-count":59,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,12,31]]}},"alternative-id":["10.1145\/3814614"],"URL":"https:\/\/doi.org\/10.1145\/3814614","relation":{},"ISSN":["2770-6699"],"issn-type":[{"value":"2770-6699","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,30]]},"assertion":[{"value":"2025-10-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-04-22","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}