{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T05:24:44Z","timestamp":1781587484116,"version":"3.54.5"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031560651","type":"print"},{"value":"9783031560668","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-56066-8_26","type":"book-chapter","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T15:05:28Z","timestamp":1710428728000},"page":"336-350","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Study of\u00a0Pre-processing Fairness Intervention Methods for\u00a0Ranking People"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0944-5044","authenticated-orcid":false,"given":"Clara","family":"Rus","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5970-880X","authenticated-orcid":false,"given":"Andrew","family":"Yates","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1086-0202","authenticated-orcid":false,"given":"Maarten","family":"de Rijke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,15]]},"reference":[{"key":"26_CR1","unstructured":"General data protection regulation (GDPR). https:\/\/eur-lex.europa.eu\/eli\/reg\/2016\/679\/oj (2023), (Accessed 20 Oct 2023)"},{"issue":"5","key":"26_CR2","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1108\/SHR-04-2019-0024","volume":"18","author":"ET Albert","year":"2019","unstructured":"Albert, E.T.: AI in talent acquisition: a review of AI-applications used in recruitment and selection. Strateg. HR Rev. 18(5), 215\u2013221 (2019)","journal-title":"Strateg. HR Rev."},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Ali, M., Sapiezynski, P., Bogen, M., Korolova, A., Mislove, A., Rieke, A.: Discrimination through optimization: how Facebook\u2019s Ad delivery can lead to biased outcomes. Proc. ACM Hum. Comput. Interact. 3(CSCW), 1\u201330 (2019)","DOI":"10.1145\/3359301"},{"key":"26_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.clsr.2022.105770","volume":"48","author":"M van Bekkum","year":"2023","unstructured":"van Bekkum, M., Borgesius Zuiderveen, F.: Using sensitive data to prevent discrimination by artificial intelligence: does the GDPR need a new exception? Comput. Law Sec. Rev. 48, 105770 (2023)","journal-title":"Comput. Law Sec. Rev."},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Beutel, A., et al.: Fairness in recommendation ranking through pairwise comparisons. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2212\u20132220 (2019)","DOI":"10.1145\/3292500.3330745"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Biega, A.J., Gummadi, K.P., Weikum, G.: Equity of attention: amortizing individual fairness in rankings. In: The 41st international ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 405\u2013414 (2018)","DOI":"10.1145\/3209978.3210063"},{"issue":"4","key":"26_CR7","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/s10645-020-09375-w","volume":"168","author":"P Bisschop","year":"2020","unstructured":"Bisschop, P., ter Weel, B., Zwetsloot, J.: Ethnic employment gaps of graduates in the Netherlands. De Economist 168(4), 577\u2013598 (2020)","journal-title":"De Economist"},{"key":"26_CR8","unstructured":"Bolukbasi, T., Chang, K.W., Zou, J.Y., Saligrama, V., Kalai, A.T.: Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. In: Advances in Neural Information Processing Systems 29 (2016)"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., Hullender, G.: Learning to rank using gradient descent. In: Proceedings of the 22nd International Conference on Machine Learning, pp. 89\u201396 (2005)","DOI":"10.1145\/1102351.1102363"},{"issue":"2\u20133","key":"26_CR10","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1111\/1468-2389.00234","volume":"11","author":"DS Chapman","year":"2003","unstructured":"Chapman, D.S., Webster, J.: The use of technologies in the recruiting, screening, and selection processes for job candidates. Int. J. Sel. Assess. 11(2\u20133), 113\u2013120 (2003)","journal-title":"Int. J. Sel. Assess."},{"key":"26_CR11","unstructured":"Ciminelli, G., Schwellnus, C., Stadler, B.: Sticky floors or glass ceilings? The role of human capital, working time flexibility and discrimination in the gender wage gap. Tech. Rep. 1668, OECD Publishing (2021)"},{"key":"26_CR12","unstructured":"Dang, V., Ascent, C.: The Lemur project (2023). http:\/\/lemurproject.org"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Dastin, J.: Amazon scraps secret AI recruiting tool that showed bias against women. In: Ethics of Data and Analytics, pp. 296\u2013299. Auerbach Publications (2022)","DOI":"10.1201\/9781003278290-44"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"De-Arteaga, M., et al.: Bias in bios: a case study of semantic representation bias in a high-stakes setting. In: Proceedings of the Conference on Fairness, Accountability, and Transparency, pp. 120\u2013128 (2019)","DOI":"10.1145\/3287560.3287572"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Diaz, F., Mitra, B., Ekstrand, M.D., Biega, A.J., Carterette, B.: Evaluating stochastic rankings with expected exposure. In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 275\u2013284 (2020)","DOI":"10.1145\/3340531.3411962"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Dwork, C., Hardt, M., Pitassi, T., Reingold, O., Zemel, R.: Fairness through awareness. In: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, pp. 214\u2013226 (2012)","DOI":"10.1145\/2090236.2090255"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Granka, L.A., Joachims, T., Gay, G.: Eye-tracking analysis of user behavior in WWW search. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 478\u2013479 (2004)","DOI":"10.1145\/1008992.1009079"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Kurita, K., Vyas, N., Pareek, A., Black, A.W., Tsvetkov, Y.: Measuring bias in contextualized word representations. arXiv preprint arXiv:1906.07337 (2019)","DOI":"10.18653\/v1\/W19-3823"},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Lahoti, P., Gummadi, K.P., Weikum, G.: iFair: learning individually fair data representations for algorithmic decision making. In: 2019 IEEE 35th International Conference on Data Engineering (ICDE), pp. 1334\u20131345, IEEE (2019)","DOI":"10.1109\/ICDE.2019.00121"},{"issue":"3","key":"26_CR20","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1177\/0959680117738857","volume":"24","author":"E Matteazzi","year":"2018","unstructured":"Matteazzi, E., Pailh\u00e9, A., Solaz, A.: Part-time employment, the gender wage gap and the role of wage-setting institutions: evidence from 11 European countries. Eur. J. Ind. Relat. 24(3), 221\u2013241 (2018)","journal-title":"Eur. J. Ind. Relat."},{"key":"26_CR21","doi-asserted-by":"publisher","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of Workshop at ICLR 2013 (Jan 2013). https:\/\/doi.org\/10.48550\/arXiv.1301.3781","DOI":"10.48550\/arXiv.1301.3781"},{"key":"26_CR22","unstructured":"O\u2019Brien, M., Keane, M.T.: Modeling result-list searching in the world wide web: the role of relevance topologies and trust bias. In: Proceedings of the 28th Annual Conference of the Cognitive Science Society, vol. 28, pp. 1881\u20131886 (2006)"},{"key":"26_CR23","unstructured":"Rus, C., de Rijke, M., Yates, A.: Counterfactual representations for intersectional fair ranking in recruitment. In: RecSys in HR 2023: The 3rd Workshop on Recommender Systems for Human Resources, in conjunction with the 17th ACM Conference on Recommender Systems (2023)"},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Singh, A., Joachims, T.: Fairness of exposure in rankings. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2219\u20132228 (2018)","DOI":"10.1145\/3219819.3220088"},{"issue":"6","key":"26_CR25","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1080\/1369183X.2019.1622793","volume":"47","author":"L Thijssen","year":"2021","unstructured":"Thijssen, L., Lancee, B., Veit, S., Yemane, R.: Discrimination against Turkish minorities in Germany and the Netherlands: field experimental evidence on the effect of diagnostic information on labour market outcomes. J. Ethn. Migr. Stud. 47(6), 1222\u20131239 (2021)","journal-title":"J. Ethn. Migr. Stud."},{"key":"26_CR26","doi-asserted-by":"crossref","unstructured":"Yang, K., Gkatzelis, V., Stoyanovich, J.: Balanced ranking with diversity constraints. arXiv preprint arXiv:1906.01747 (2019)","DOI":"10.24963\/ijcai.2019\/836"},{"key":"26_CR27","unstructured":"Yang, K., Loftus, J.R., Stoyanovich, J.: Causal intersectionality for fair ranking. arXiv preprint arXiv:2006.08688 (2020)"},{"key":"26_CR28","doi-asserted-by":"crossref","unstructured":"Yu, Q., Li, B.: mma: An R package for mediation analysis with multiple mediators. J. Open Res. Softw. 5(1) (2017)","DOI":"10.5334\/jors.160"},{"key":"26_CR29","doi-asserted-by":"crossref","unstructured":"Zehlike, M., Bonchi, F., Castillo, C., Hajian, S., Megahed, M., Baeza-Yates, R.: FA*IR: A fair top-$$k$$ ranking algorithm. In: Proceedings of the 2017 ACM Conference on Information and Knowledge Management, pp. 1569\u20131578. ACM (2017)","DOI":"10.1145\/3132847.3132938"},{"key":"26_CR30","doi-asserted-by":"crossref","unstructured":"Zehlike, M., Castillo, C.: Reducing disparate exposure in ranking: a learning to rank approach. In: Proceedings of the Web Conference 2020, pp. 2849\u20132855 (2020)","DOI":"10.1145\/3366424.3380048"},{"issue":"1","key":"26_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102707","volume":"59","author":"M Zehlike","year":"2022","unstructured":"Zehlike, M., S\u00fchr, T., Baeza-Yates, R., Bonchi, F., Castillo, C., Hajian, S.: Fair top-$$k$$ ranking with multiple protected groups. Inform. Process. Manag. 59(1), 102707 (2022)","journal-title":"Inform. Process. Manag."},{"issue":"6","key":"26_CR32","first-page":"1","volume":"55","author":"M Zehlike","year":"2022","unstructured":"Zehlike, M., Yang, K., Stoyanovich, J.: Fairness in ranking, Part I: score-based ranking. ACM Comput. Surv. 55(6), 1\u201336 (2022)","journal-title":"ACM Comput. Surv."},{"issue":"6","key":"26_CR33","first-page":"1","volume":"55","author":"M Zehlike","year":"2022","unstructured":"Zehlike, M., Yang, K., Stoyanovich, J.: Fairness in ranking, Part II: learning-to-rank and recommender systems. ACM Comput. Surv. 55(6), 1\u201341 (2022)","journal-title":"ACM Comput. Surv."},{"key":"26_CR34","unstructured":"Zemel, R., Wu, Y., Swersky, K., Pitassi, T., Dwork, C.: Learning fair representations. In: International Conference on Machine Learning, pp. 325\u2013333. PMLR (2013)"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-56066-8_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T00:09:35Z","timestamp":1710461375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-56066-8_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031560651","9783031560668"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-56066-8_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"15 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 March 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ecir2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"578","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"110","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31 (Tracks: Workshop, Tutorial, Industry, Doctoral Consortium)","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}