{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:27:14Z","timestamp":1759332434647,"version":"3.37.3"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T00:00:00Z","timestamp":1718150400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T00:00:00Z","timestamp":1718150400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004385","name":"Universiteit Gent","doi-asserted-by":"publisher","award":["BOFGOA2018000601","BOFGOA2018000601","BOFGOA2018000601","BOFGOA2018000601"],"award-info":[{"award-number":["BOFGOA2018000601","BOFGOA2018000601","BOFGOA2018000601","BOFGOA2018000601"]}],"id":[{"id":"10.13039\/501100004385","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["User Model User-Adap Inter"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s11257-024-09399-w","type":"journal-article","created":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T19:01:36Z","timestamp":1718218896000},"page":"955-993","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improving selection diversity using hybrid graph-based news recommenders"],"prefix":"10.1007","volume":"34","author":[{"given":"Stefaan","family":"Vercoutere","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Glen","family":"Joris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toon","family":"De Pessemier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Martens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,12]]},"reference":[{"key":"9399_CR1","doi-asserted-by":"publisher","unstructured":"Abdollahpouri, H.: Popularity bias in ranking and recommendation. In: Proceedings of the 2019 AAAI\/ACM conference on AI, ethics, and society. Association for Computing Machinery, New York, NY, USA, AIES \u201919, pp 529\u2013530. https:\/\/doi.org\/10.1145\/3306618.3314309 (2019)","DOI":"10.1145\/3306618.3314309"},{"key":"9399_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TKDE.2011.15","volume":"24","author":"G Adomavicius","year":"2012","unstructured":"Adomavicius, G., Kwon, Y.: Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. Knowl. Data Eng. 24, 1\u20131 (2012). https:\/\/doi.org\/10.1109\/TKDE.2011.15","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"6","key":"9399_CR3","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734\u2013749 (2005). https:\/\/doi.org\/10.1109\/TKDE.2005.99","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"9399_CR4","doi-asserted-by":"publisher","unstructured":"Agarwal, D., Chen, B.C.: FLDA: matrix factorization through latent Dirichlet allocation. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, New York, NY, USA, WSDM \u201910, pp. 91\u2013100. https:\/\/doi.org\/10.1145\/1718487.1718499 (2010)","DOI":"10.1145\/1718487.1718499"},{"key":"9399_CR5","doi-asserted-by":"publisher","unstructured":"Agrawal, R., Gollapudi, S., Halverson, A., et\u00a0al.: Diversifying search results. In: Proceedings of the Second ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, New York, NY, USA, WSDM \u201909, pp. 5\u201314. https:\/\/doi.org\/10.1145\/1498759.1498766 (2009)","DOI":"10.1145\/1498759.1498766"},{"issue":"37","key":"9399_CR6","doi-asserted-by":"publisher","first-page":"9216","DOI":"10.1073\/pnas.1804840115","volume":"115","author":"CA Bail","year":"2018","unstructured":"Bail, C.A., Argyle, L.P., Brown, T.W., et al.: Exposure to opposing views on social media can increase political polarization. Proc. Natl. Acad. Sci. 115(37), 9216\u20139221 (2018). https:\/\/doi.org\/10.1073\/pnas.1804840115","journal-title":"Proc. Natl. Acad. Sci."},{"key":"9399_CR7","doi-asserted-by":"publisher","unstructured":"Billsus, D., Pazzani, M.J.: A personal news agent that talks, learns and explains. In: Proceedings of the Third Annual Conference on Autonomous Agents. Association for Computing Machinery, New York, NY, USA, AGENTS \u201999, pp. 268\u2013275. https:\/\/doi.org\/10.1145\/301136.301208 (1999)","DOI":"10.1145\/301136.301208"},{"key":"9399_CR8","doi-asserted-by":"publisher","unstructured":"Bogers, T., van\u00a0den Bosch, A.: Comparing and evaluating information retrieval algorithms for news recommendation. In: Proceedings of the 2007 ACM Conference on Recommender Systems. Association for Computing Machinery, New York, NY, USA, RecSys \u201907, pp. 141\u2013144. https:\/\/doi.org\/10.1145\/1297231.1297256 (2007)","DOI":"10.1145\/1297231.1297256"},{"issue":"1","key":"9399_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14763\/2016.1.40","volume":"5","author":"FJZ Borgesius","year":"2016","unstructured":"Borgesius, F.J.Z., Trilling, D., Moller, J., et al.: Should we worry about filter bubbles? Internet Policy Review 5(1), 1\u201316 (2016). https:\/\/doi.org\/10.14763\/2016.1.40","journal-title":"Internet Policy Review"},{"key":"9399_CR10","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/11768012_6","volume-title":"Adaptive Hypermedia and Adaptive Web-Based Systems","author":"D Bridge","year":"2006","unstructured":"Bridge, D., Kelly, J.P.: Ways of computing diverse collaborative recommendations. In: Wade, V.P., Ashman, H., Smyth, B. (eds.) Adaptive Hypermedia and Adaptive Web-Based Systems, pp. 41\u201350. Springer, Berlin (2006). https:\/\/doi.org\/10.1007\/11768012_6"},{"key":"9399_CR11","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-030-21290-2_3","volume-title":"Advanced Information Systems Engineering","author":"E Brocken","year":"2019","unstructured":"Brocken, E., Hartveld, A., de Koning, E., et al.: Bing-cf-idf+: A semantics-driven news recommender system. In: Giorgini, P., Weber, B. (eds.) Advanced Information Systems Engineering, pp. 32\u201347. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21290-2_3"},{"key":"9399_CR12","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1007\/978-3-642-37456-2_14","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"RJGB Campello","year":"2013","unstructured":"Campello, R.J.G.B., Moulavi, D., Sander, J.: Density-based clustering based on hierarchical density estimates. In: Pei, J., Tseng, V.S., Cao, L., et al. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 160\u2013172. Springer, Berlin (2013). https:\/\/doi.org\/10.1007\/978-3-642-37456-2_14"},{"key":"9399_CR13","doi-asserted-by":"publisher","unstructured":"Capelle, M., Frasincar, F., Moerland, M., et\u00a0al.: Semantics-based news recommendation. In: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery, New York, NY, USA, WIMS \u201912. https:\/\/doi.org\/10.1145\/2254129.2254163 (2012)","DOI":"10.1145\/2254129.2254163"},{"key":"9399_CR14","doi-asserted-by":"publisher","unstructured":"Caraban, A., Karapanos, E., Gon\u00e7alves, D., et\u00a0al.: 23 ways to nudge: A review of technology-mediated nudging in human-computer interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, CHI \u201919, pp. 1\u201315. https:\/\/doi.org\/10.1145\/3290605.3300733 (2019)","DOI":"10.1145\/3290605.3300733"},{"key":"9399_CR15","doi-asserted-by":"publisher","unstructured":"Carbonell, J., Goldstein, J.: The use of mmr, diversity-based reranking for reordering documents and producing summaries. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, USA, SIGIR \u201998, pp. 335\u2013336. https:\/\/doi.org\/10.1145\/290941.291025 (1998)","DOI":"10.1145\/290941.291025"},{"key":"9399_CR16","doi-asserted-by":"publisher","unstructured":"Caselles-Dupr\u00e9, H., Lesaint, F., Royo-Letelier, J.: Word2vec applied to recommendation: Hyperparameters matter. In: Proceedings of the 12th ACM Conference on Recommender Systems. Association for Computing Machinery, New York, NY, USA, RecSys \u201918, pp. 352\u2013356. https:\/\/doi.org\/10.1145\/3240323.3240377 (2018)","DOI":"10.1145\/3240323.3240377"},{"key":"9399_CR17","doi-asserted-by":"publisher","unstructured":"Darvishy, A., Ibrahim, H., Sidi, F., et\u00a0al.: Hypner: a hybrid approach for personalized news recommendation. IEEE Access 8:46,877\u201346,894. https:\/\/doi.org\/10.1109\/ACCESS.2020.2978505 (2020)","DOI":"10.1109\/ACCESS.2020.2978505"},{"key":"9399_CR18","doi-asserted-by":"publisher","unstructured":"Das, A.S., Datar, M., Garg, A., et\u00a0al.: Google news personalization: scalable online collaborative filtering. Association for Computing Machinery, New York, NY, USA, WWW \u201907. https:\/\/doi.org\/10.1145\/1242572.1242610 (2007)","DOI":"10.1145\/1242572.1242610"},{"key":"9399_CR19","unstructured":"De Bruyne, L., De Clercq, O., Hoste, V.: Emotional RobBERT and insensitive BERTje : combining transformers and affect lexica for Dutch emotion detection. In: Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (EACL 2021). Association for Computational Linguistics, pp. 257\u2013263. https:\/\/aclanthology.org\/2021.wassa-1.27\/ (2021)"},{"key":"9399_CR20","first-page":"37","volume":"10","author":"O De Clercq","year":"2020","unstructured":"De Clercq, O., De Bruyne, L., Hoste, V.: News topic classification as a first step towards diverse news recommendation. Comput. Linguist. Netherlands J. 10, 37\u201355 (2020)","journal-title":"Comput. Linguist. Netherlands J."},{"key":"9399_CR21","unstructured":"de Vries, W., van Cranenburgh, A., Bisazza, A., et\u00a0al.: Bertje: A dutch bert model. arXiv arXiv:abs\/1912.09582 (2019)"},{"issue":"2\u20133","key":"9399_CR22","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1080\/19312458.2016.1150441","volume":"10","author":"CH de Vreese","year":"2016","unstructured":"de Vreese, C.H., Neijens, P.: Measuring media exposure in a changing communications environment. Commun. Methods Meas. 10(2\u20133), 69\u201380 (2016). https:\/\/doi.org\/10.1080\/19312458.2016.1150441","journal-title":"Commun. Methods Meas."},{"key":"9399_CR23","doi-asserted-by":"publisher","unstructured":"Debnath, S., Ganguly, N., Mitra, P.: Feature weighting in content based recommendation system using social network analysis. In: Proceedings of the 17th International Conference on World Wide Web. Association for Computing Machinery, New York, NY, USA, WWW \u201908, pp. 1041\u20131042. https:\/\/doi.org\/10.1145\/1367497.1367646 (2008)","DOI":"10.1145\/1367497.1367646"},{"key":"9399_CR24","doi-asserted-by":"publisher","unstructured":"Desot, T., De\u00a0Clercq, O., Hoste, V.: Event prominence extraction combining a knowledge-based syntactic parser and a Bert classifier for dutch. In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021). INCOMA, pp. 346\u2013357. https:\/\/doi.org\/10.26615\/978-954-452-072-4_040 (2021)","DOI":"10.26615\/978-954-452-072-4_040"},{"key":"9399_CR25","doi-asserted-by":"publisher","unstructured":"Epure, E.V., Kille, B., Ingvaldsen, J.E., et\u00a0al.: Recommending personalized news in short user sessions. Association for Computing Machinery, New York, NY, USA, RecSys \u201917, pp. 121\u2013129. https:\/\/doi.org\/10.1145\/3109859.3109894 (2017)","DOI":"10.1145\/3109859.3109894"},{"key":"9399_CR26","doi-asserted-by":"publisher","unstructured":"Frey, D.: Recent research on selective exposure to information. In: Advances in Experimental Social Psychology, vol.\u00a019. Academic Press, New York, pp. 41\u201380. https:\/\/doi.org\/10.1016\/S0065-2601(08)60212-9. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0065260108602129 (1986)","DOI":"10.1016\/S0065-2601(08)60212-9"},{"issue":"2","key":"9399_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103205","volume":"60","author":"S Geng","year":"2023","unstructured":"Geng, S., He, X., Liang, G., et al.: Accuracy-diversity optimization in personalized recommender system via trajectory reinforcement based bacterial colony optimization. Inf. Process. Manag. 60(2), 103,205 (2023). https:\/\/doi.org\/10.1016\/j.ipm.2022.103205","journal-title":"Inf. Process. Manag."},{"key":"9399_CR28","doi-asserted-by":"publisher","unstructured":"Goossen, F., IJntema, W., Frasincar, F., et\u00a0al.: News personalization using the CF-IDF semantic recommender. In: Proceedings of the International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery, New York, NY, USA, WIMS \u201911. https:\/\/doi.org\/10.1145\/1988688.1988701 (2011)","DOI":"10.1145\/1988688.1988701"},{"issue":"10","key":"9399_CR29","doi-asserted-by":"publisher","first-page":"1710","DOI":"10.1080\/21670811.2021.2021804","volume":"10","author":"L Heitz","year":"2022","unstructured":"Heitz, L., Lischka, J.A., Birrer, A., et al.: Benefits of diverse news recommendations for democracy: a user study. Digit. J. 10(10), 1710\u20131730 (2022). https:\/\/doi.org\/10.1080\/21670811.2021.2021804","journal-title":"Digit. J."},{"issue":"8","key":"9399_CR30","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1080\/21670811.2019.1623700","volume":"7","author":"N Helberger","year":"2019","unstructured":"Helberger, N.: On the democratic role of news recommenders. Digit. J. 7(8), 993\u20131012 (2019). https:\/\/doi.org\/10.1080\/21670811.2019.1623700","journal-title":"Digit. J."},{"issue":"2","key":"9399_CR31","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1080\/1369118X.2016.1271900","volume":"21","author":"N Helberger","year":"2018","unstructured":"Helberger, N., Karppinen, K., D\u2019Acunto, L.: Exposure diversity as a design principle for recommender systems. Inf. Commun. Soc. 21(2), 191\u2013207 (2018). https:\/\/doi.org\/10.1080\/1369118X.2016.1271900","journal-title":"Inf. Commun. Soc."},{"key":"9399_CR32","doi-asserted-by":"publisher","unstructured":"Jia, Q., Li, J., Zhang, Q., et\u00a0al.: RMBERT: news recommendation via recurrent reasoning memory network over Bert. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, USA, SIGIR \u201921, pp. 1773\u20131777. https:\/\/doi.org\/10.1145\/3404835.3463234 (2021)","DOI":"10.1145\/3404835.3463234"},{"issue":"101","key":"9399_CR33","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1016\/j.inffus.2023.101906","volume":"100","author":"D Jin","year":"2023","unstructured":"Jin, D., Wang, L., Zhang, H., et al.: A survey on fairness-aware recommender systems. Inf. Fus. 100(101), 906 (2023). https:\/\/doi.org\/10.1016\/j.inffus.2023.101906","journal-title":"Inf. Fus."},{"issue":"5649","key":"9399_CR34","doi-asserted-by":"publisher","first-page":"1338","DOI":"10.1126\/science.1091721","volume":"302","author":"EJ Johnson","year":"2003","unstructured":"Johnson, E.J., Goldstein, D.: Do defaults save lives? Science 302(5649), 1338\u20131339 (2003). https:\/\/doi.org\/10.1126\/science.1091721","journal-title":"Science"},{"issue":"8","key":"9399_CR35","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1080\/21670811.2019.1609371","volume":"7","author":"B Jones","year":"2019","unstructured":"Jones, B., Jones, R.: Public service chatbots: Automating conversation with BBC news. Digit. J. 7(8), 1032\u20131053 (2019). https:\/\/doi.org\/10.1080\/21670811.2019.1609371","journal-title":"Digit. J."},{"key":"9399_CR36","doi-asserted-by":"publisher","unstructured":"Jonnalagedda, N., Gauch, S.: Personalized news recommendation using twitter. In: 2013 IEEE\/WIC\/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), pp. 21\u201325, https:\/\/doi.org\/10.1109\/WI-IAT.2013.144 (2013)","DOI":"10.1109\/WI-IAT.2013.144"},{"key":"9399_CR37","doi-asserted-by":"publisher","DOI":"10.1080\/21670811.2022.2106445","author":"G Joris","year":"2022","unstructured":"Joris, G., Vercoutere, S., Clercq, O.D., et al.: Nudging towards exposure diversity: examining the effects of news recommender design on audiences\u2019 news exposure behaviours and perceptions. Digital J. (2022). https:\/\/doi.org\/10.1080\/21670811.2022.2106445","journal-title":"Digital J."},{"key":"9399_CR38","doi-asserted-by":"publisher","unstructured":"Juarto, B., Girsang, A.: Neural collaborative with sentence bert for news recommender system. JOIV Int. J. Inform. Visual. 5:448. https:\/\/doi.org\/10.30630\/joiv.5.4.678 (2021)","DOI":"10.30630\/joiv.5.4.678"},{"issue":"6","key":"9399_CR39","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1016\/j.ipm.2018.04.008","volume":"54","author":"M Karimi","year":"2018","unstructured":"Karimi, M., Jannach, D., Jugovac, M.: News recommender systems\u2014survey and roads ahead. Inf. Process. Manag. 54(6), 1203\u20131227 (2018). https:\/\/doi.org\/10.1016\/j.ipm.2018.04.008","journal-title":"Inf. Process. Manag."},{"key":"9399_CR40","doi-asserted-by":"publisher","unstructured":"Karvelis, P., Gavrilis, D., Georgoulas, G., et\u00a0al.: Topic recommendation using doc2vec. In: 2018 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20136. https:\/\/doi.org\/10.1109\/IJCNN.2018.8489513 (2018)","DOI":"10.1109\/IJCNN.2018.8489513"},{"issue":"4","key":"9399_CR41","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1348\/014466609X478988","volume":"49","author":"A Kastenm\u00fcller","year":"2010","unstructured":"Kastenm\u00fcller, A., Greitemeyer, T., Jonas, E., et al.: Selective exposure: the impact of collectivism and individualism. Br. J. Soc. Psychol. 49(4), 745\u2013763 (2010). https:\/\/doi.org\/10.1348\/014466609X478988","journal-title":"Br. J. Soc. Psychol."},{"key":"9399_CR42","doi-asserted-by":"publisher","unstructured":"Kuhlman, C., Gerych, W., Rundensteiner, E.: Measuring group advantage: a comparative study of fair ranking metrics. In: Proceedings of the 2021 AAAI\/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, New York, NY, USA, AIES \u201921, pp. 674\u2013682. https:\/\/doi.org\/10.1145\/3461702.3462588 (2021)","DOI":"10.1145\/3461702.3462588"},{"key":"9399_CR43","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.knosys.2017.02.009","volume":"123","author":"M Kunaver","year":"2017","unstructured":"Kunaver, M., Po\u017erl, T.: Diversity in recommender systems\u2013a survey. Knowl. Based Syst. 123, 154\u2013162 (2017). https:\/\/doi.org\/10.1016\/j.knosys.2017.02.009","journal-title":"Knowl. Based Syst."},{"key":"9399_CR44","doi-asserted-by":"publisher","DOI":"10.7312\/laza93930","volume-title":"The people\u2019s choice","author":"PF Lazarsfeld","year":"1968","unstructured":"Lazarsfeld, P.F., Berelson, B., Gaudet, H.: The people\u2019s choice. Columbia University Press, New York (1968)"},{"issue":"2","key":"9399_CR45","doi-asserted-by":"publisher","first-page":"684","DOI":"10.1016\/j.eswa.2012.08.004","volume":"40","author":"S Lee","year":"2013","unstructured":"Lee, S., Park, S., Kahng, M., et al.: PathRank: ranking nodes on a heterogeneous graph for flexible hybrid recommender systems. Expert Syst. Appl. 40(2), 684\u2013697 (2013). https:\/\/doi.org\/10.1016\/j.eswa.2012.08.004","journal-title":"Expert Syst. Appl."},{"key":"9399_CR46","doi-asserted-by":"publisher","unstructured":"Li, L., Wang, D., Li, T., et\u00a0al.: Scene: a scalable two-stage personalized news recommendation system. Association for Computing Machinery, New York, NY, USA, SIGIR \u201911, pp. 125\u2013134. https:\/\/doi.org\/10.1145\/2009916.2009937 (2011)","DOI":"10.1145\/2009916.2009937"},{"key":"9399_CR47","doi-asserted-by":"publisher","unstructured":"Liang, Y., Qian, T., Li, Q., et\u00a0al.: Enhancing domain-level and user-level adaptivity in diversified recommendation. Association for Computing Machinery, New York, NY, USA, SIGIR \u201921, pp. 747\u2013756. https:\/\/doi.org\/10.1145\/3404835.3462957 (2021)","DOI":"10.1145\/3404835.3462957"},{"key":"9399_CR48","doi-asserted-by":"publisher","unstructured":"Liu, J., Dolan, P., Pedersen, E.R.: Personalized news recommendation based on click behavior. In: Proceedings of the 15th International Conference on Intelligent User Interfaces. Association for Computing Machinery, New York, NY, USA, IUI \u201910, pp. 31\u201340. https:\/\/doi.org\/10.1145\/1719970.1719976 (2010)","DOI":"10.1145\/1719970.1719976"},{"key":"9399_CR49","doi-asserted-by":"publisher","unstructured":"Lommatzsch, A., Kille, B., Albayrak, S.: Incorporating context and trends in news recommender systems. In: Proceedings of the International Conference on Web Intelligence. Association for Computing Machinery, New York, NY, USA, WI \u201917, pp. 1062\u20131068. https:\/\/doi.org\/10.1145\/3106426.3109433 (2017)","DOI":"10.1145\/3106426.3109433"},{"issue":"3","key":"9399_CR50","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1177\/001654928303100301","volume":"31","author":"D McQuail","year":"1983","unstructured":"McQuail, D., Cuilenburg, J.J.V.: Diversity as a media policy goal: a strategy for evaluative research and a Netherlands case study. Gazette (Leiden, Netherlands) 31(3), 145\u2013162 (1983). https:\/\/doi.org\/10.1177\/001654928303100301","journal-title":"Gazette (Leiden, Netherlands)"},{"key":"9399_CR51","unstructured":"McQuail, D.V.: Media Performance: Mass Communication and the Public Interest. Sage, London. http:\/\/lib.ugent.be\/catalog\/rug01:000268322 (1992)"},{"issue":"5","key":"9399_CR52","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1080\/21670811.2014.937149","volume":"3","author":"IC Meijer","year":"2015","unstructured":"Meijer, I.C., Kormelink, T.G.: Checking, sharing, clicking and linking. Digit. J. 3(5), 664\u2013679 (2015). https:\/\/doi.org\/10.1080\/21670811.2014.937149","journal-title":"Digit. J."},{"key":"9399_CR53","unstructured":"Mikolov, T., Yih, W.t., Zweig, G.: Linguistic regularities in continuous space word representations. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Atlanta, Georgia, pp. 746\u2013751. https:\/\/aclanthology.org\/N13-1090 (2013)"},{"key":"9399_CR54","unstructured":"Mohamed, H. A., Sansonetti, G., Gasparetti, F., et al.: BERT, ELMo, USE and InferSent sentence encoders: the panacea for research-paper recommendation? In: ACM conference on recommender systems. https:\/\/api.semanticscholar.org\/CorpusID:201672031 (2019)"},{"key":"9399_CR55","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-024-00518-9","author":"J Noel","year":"2024","unstructured":"Noel, J., Monterola, C., Tan, D.S.: Improving recommendation diversity without retraining from scratch. Int. J. Data Sci. Anal. (2024). https:\/\/doi.org\/10.1007\/s41060-024-00518-9","journal-title":"Int. J. Data Sci. Anal."},{"issue":"11","key":"9399_CR56","doi-asserted-by":"publisher","first-page":"1535","DOI":"10.1038\/s41562-021-01117-5","volume":"5","author":"DA Parry","year":"2021","unstructured":"Parry, D.A., Davidson, B.I., Sewall, C.J.R., et al.: A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nat. Hum. Behav. 5(11), 1535\u20131547 (2021). https:\/\/doi.org\/10.1038\/s41562-021-01117-5","journal-title":"Nat. Hum. Behav."},{"issue":"4","key":"9399_CR57","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1080\/1461670032000136596","volume":"4","author":"H Pottker","year":"2003","unstructured":"Pottker, H.: News and its communicative quality: the inverted pyramid-when and why did it appear? J. Stud. 4(4), 501\u2013511 (2003). https:\/\/doi.org\/10.1080\/1461670032000136596","journal-title":"J. Stud."},{"key":"9399_CR58","doi-asserted-by":"publisher","unstructured":"Premchaiswadi, W., Poompuang, P., Jongswat, N., et\u00a0al.: Enhancing diversity-accuracy technique on user-based top-n recommendation algorithms. In: 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops, pp. 403\u2013408. https:\/\/doi.org\/10.1109\/COMPSACW.2013.68 (2013)","DOI":"10.1109\/COMPSACW.2013.68"},{"issue":"3","key":"9399_CR59","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1017\/S0022381609090781","volume":"71","author":"M Prior","year":"2009","unstructured":"Prior, M.: Improving media effects research through better measurement of news exposure. J. Polit. 71(3), 893\u2013908 (2009). https:\/\/doi.org\/10.1017\/S0022381609090781","journal-title":"J. Polit."},{"key":"9399_CR60","doi-asserted-by":"publisher","unstructured":"Radlinski, F., Kleinberg, R., Joachims, T.: Learning diverse rankings with multi-armed bandits. Association for Computing Machinery, New York, NY, USA, ICML \u201908, pp. 784\u2013791. https:\/\/doi.org\/10.1145\/1390156.1390255 (2008)","DOI":"10.1145\/1390156.1390255"},{"key":"9399_CR61","doi-asserted-by":"publisher","unstructured":"Raj, A., Ekstrand, M.D.: Measuring fairness in ranked results: an analytical and empirical comparison. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, USA, SIGIR \u201922, pp. 726\u2013736. https:\/\/doi.org\/10.1145\/3477495.3532018 (2022)","DOI":"10.1145\/3477495.3532018"},{"key":"9399_CR62","doi-asserted-by":"publisher","unstructured":"Schelenz, L: Diversity-aware recommendations for social justice? exploring user diversity and fairness in recommender systems. In: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, New York, NY, USA, UMAP \u201921, pp. 404\u2013410. https:\/\/doi.org\/10.1145\/3450614.3463293 (2021)","DOI":"10.1145\/3450614.3463293"},{"key":"9399_CR63","doi-asserted-by":"publisher","unstructured":"Steck, H.: Calibrated recommendations. In: Proceedings of the 12th ACM Conference on Recommender Systems. Association for Computing Machinery, New York, NY, USA, RecSys \u201918, pp. 154\u2013162. https:\/\/doi.org\/10.1145\/3240323.3240372 (2018)","DOI":"10.1145\/3240323.3240372"},{"key":"9399_CR64","doi-asserted-by":"publisher","unstructured":"Treuillier, C., Brun, A., Castagnos, S.: A multi-factorial analysis of polarization on social media. In: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, New York, NY, USA, UMAP \u201923 Adjunct, pp. 1\u20136. https:\/\/doi.org\/10.1145\/3563359.3597393 (2023)","DOI":"10.1145\/3563359.3597393"},{"key":"9399_CR65","doi-asserted-by":"publisher","first-page":"157","DOI":"10.2307\/41410412","volume":"36","author":"V Venkatesh","year":"2012","unstructured":"Venkatesh, V., Thong, J., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36, 157\u2013178 (2012). https:\/\/doi.org\/10.2307\/41410412","journal-title":"MIS Q."},{"key":"9399_CR66","doi-asserted-by":"publisher","unstructured":"Wang, H., Zhang, F., Xie, X., et\u00a0al.: DKN: Deep knowledge-aware network for news recommendation. In: Proceedings of the 2018 World Wide Web Conference. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, WWW \u201918, pp. 1835\u20131844. https:\/\/doi.org\/10.1145\/3178876.3186175 (2018)","DOI":"10.1145\/3178876.3186175"},{"issue":"3","key":"9399_CR67","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3547333","volume":"41","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Ma, W., Zhang, M., et al.: A survey on the fairness of recommender systems. ACM Trans. Inf. Syst. 41(3), 1 (2023). https:\/\/doi.org\/10.1145\/3547333","journal-title":"ACM Trans. Inf. Syst."},{"issue":"2","key":"9399_CR68","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1111\/j.1467-9248.2012.00974.x","volume":"61","author":"TM Wilkinson","year":"2013","unstructured":"Wilkinson, T.M.: Nudging and manipulation. Polit. Stud. 61(2), 341\u2013355 (2013). https:\/\/doi.org\/10.1111\/j.1467-9248.2012.00974.x","journal-title":"Polit. Stud."},{"key":"9399_CR69","doi-asserted-by":"publisher","unstructured":"Wu, C., Wu, F., Wang, X., et al.: Fairness-aware news recommendation with decomposed adversarial learning. Proceedings of the AAAI Conference on Artificial Intelligence 35(5), 4462\u20134469 (2021) https:\/\/doi.org\/10.1609\/aaai.v35i5.16573,","DOI":"10.1609\/aaai.v35i5.16573"},{"issue":"101","key":"9399_CR70","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.elerap.2022.101235","volume":"57","author":"Q Yin","year":"2023","unstructured":"Yin, Q., Zhang, D., Fang, H., et al.: Purpose tendency-aware diversified strategy for effective session-based recommendation. Electron. Commerce Res. Appl. 57(101), 235 (2023). https:\/\/doi.org\/10.1016\/j.elerap.2022.101235","journal-title":"Electron. Commerce Res. Appl."},{"key":"9399_CR71","doi-asserted-by":"publisher","unstructured":"Zhang, Q., Li, J., Jia, Q., et\u00a0al.: Unbert: User-news matching bert for news recommendation. In: Zhou, Z. H. (ed.) Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. International Joint Conferences on Artificial Intelligence Organization, pp. 3356\u20133362, https:\/\/doi.org\/10.24963\/ijcai.2021\/462, main Track (2021)","DOI":"10.24963\/ijcai.2021\/462"},{"key":"9399_CR72","doi-asserted-by":"publisher","unstructured":"Ziegler, C.N., McNee, S.M., Konstan, J.A., et\u00a0al.: Improving recommendation lists through topic diversification. Association for Computing Machinery, New York, NY, USA, WWW \u201905, pp. 22\u201332. https:\/\/doi.org\/10.1145\/1060745.1060754 (2005)","DOI":"10.1145\/1060745.1060754"}],"container-title":["User Modeling and User-Adapted Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11257-024-09399-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11257-024-09399-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11257-024-09399-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T21:11:19Z","timestamp":1727298679000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11257-024-09399-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,12]]},"references-count":72,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["9399"],"URL":"https:\/\/doi.org\/10.1007\/s11257-024-09399-w","relation":{},"ISSN":["0924-1868","1573-1391"],"issn-type":[{"type":"print","value":"0924-1868"},{"type":"electronic","value":"1573-1391"}],"subject":[],"published":{"date-parts":[[2024,6,12]]},"assertion":[{"value":"28 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 June 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}