{"id":"https://openalex.org/W4412673555","doi":"https://doi.org/10.1145/3731120.3744620","title":"Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement","display_name":"Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412673555","doi":"https://doi.org/10.1145/3731120.3744620"},"language":"en","primary_location":{"id":"doi:10.1145/3731120.3744620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.22372","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119079168","display_name":"Maryam Mousavian","orcid":null},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Maryam Mousavian","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana, Lugano, Switzerland and University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana, Lugano, Switzerland and University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I57201433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078071076","display_name":"Zahra Abbasiantaeb","orcid":"https://orcid.org/0000-0002-4046-3419"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zahra Abbasiantaeb","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063466614","display_name":"Mohammad Aliannejadi","orcid":"https://orcid.org/0000-0002-9447-4172"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mohammad Aliannejadi","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012367814","display_name":"F\u00e1bio Crestani","orcid":"https://orcid.org/0000-0001-8672-0700"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fabio Crestani","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana, Lugano, Switzerland"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119079168"],"corresponding_institution_ids":["https://openalex.org/I57201433"],"apc_list":null,"apc_paid":null,"fwci":2.3431,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90147208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.925000011920929,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9093000292778015,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4976828396320343},{"id":"https://openalex.org/keywords/gender-bias","display_name":"Gender bias","score":0.4424532353878021},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2509651482105255},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1774677336215973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4976828396320343},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.4424532353878021},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2509651482105255},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1774677336215973}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3731120.3744620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.22372","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.22372","pdf_url":"https://arxiv.org/pdf/2506.22372","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dare.uva.nl:openaire/25853566-e8d0-40e2-90f6-4cfa24d53042","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/towards-fair-rankings-leveraging-llms-for-gender-bias-detection-and-measurement(25853566-e8d0-40e2-90f6-4cfa24d53042).html","pdf_url":"https://pure.uva.nl/ws/files/308243551/3731120.3744620.pdf","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mousavian, M, Abbasiantaeb, Z, Aliannejadi, M & Crestani, F 2025, Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement. in ICTIR '25 : Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) : July 18, 2025, Padua, Italy. Association for Computing Machinery, New York, NY, pp. 56-66, 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, Padua, Italy, 18/07/25. https://doi.org/10.1145/3731120.3744620","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.22372","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.22372","pdf_url":"https://arxiv.org/pdf/2506.22372","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320321008","display_name":"Universiteit van Amsterdam","ror":"https://ror.org/04dkp9463"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2796402109","https://openalex.org/W2912638141","https://openalex.org/W2950173087","https://openalex.org/W2963078909","https://openalex.org/W2963612262","https://openalex.org/W2970641574","https://openalex.org/W2971307358","https://openalex.org/W2972413484","https://openalex.org/W2997588435","https://openalex.org/W3024308166","https://openalex.org/W3034115845","https://openalex.org/W3034775979","https://openalex.org/W3035680038","https://openalex.org/W3039559565","https://openalex.org/W3081529310","https://openalex.org/W3088059392","https://openalex.org/W3101767999","https://openalex.org/W3102961637","https://openalex.org/W3103891807","https://openalex.org/W3105042180","https://openalex.org/W3105882417","https://openalex.org/W3123340107","https://openalex.org/W3135734416","https://openalex.org/W3152733223","https://openalex.org/W3156204678","https://openalex.org/W3157975787","https://openalex.org/W3168584517","https://openalex.org/W3176477796","https://openalex.org/W3180230246","https://openalex.org/W3185212449","https://openalex.org/W3207316473","https://openalex.org/W4206285331","https://openalex.org/W4231165370","https://openalex.org/W4284672647","https://openalex.org/W4287887312","https://openalex.org/W4327644549","https://openalex.org/W4327909986","https://openalex.org/W4365816059","https://openalex.org/W4378189609","https://openalex.org/W4385571370","https://openalex.org/W4385688511","https://openalex.org/W4386876121","https://openalex.org/W4392737032","https://openalex.org/W4400526284","https://openalex.org/W4403662541"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"presence":[1],"of":[2,23,108,124,165],"social":[3],"biases":[4],"in":[5,56,144,193,224],"Natural":[6],"Language":[7,45],"Processing":[8],"(NLP)":[9],"and":[10,29,52,66,112,131,180,204,221],"Information":[11],"Retrieval":[12],"(IR)":[13],"systems":[14],"is":[15],"an":[16,200,209],"ongoing":[17],"challenge,":[18],"which":[19],"underlines":[20],"the":[21,106,125],"importance":[22],"developing":[24],"robust":[25,217],"approaches":[26],"to":[27,38,50,70,100,140,168,174],"identifying":[28],"evaluating":[30],"such":[31],"biases.":[32],"In":[33],"this":[34,40,145,212],"paper,":[35],"we":[36,86,120],"aim":[37],"address":[39,101],"issue":[41],"by":[42],"leveraging":[43],"Large":[44],"Models":[46],"(":[47,97],"LLM":[48],"s)":[49],"detect":[51],"measure":[53,105],"gender":[54,60,76,82,90,118,135,191,205],"bias":[55,83,136,192,198,206,223],"passage":[57],"ranking.":[58,194],"Existing":[59],"fairness":[61,91,166,202],"metrics":[62],"rely":[63],"on":[64,79,116,151],"lexical-":[65],"frequency-based":[67],"measures,":[68],"leading":[69],"various":[71,152],"limitations,":[72],"e.g.,":[73],"missing":[74],"subtle":[75],"disparities.":[77],"Building":[78],"our":[80,109,133,157],"LLM-based":[81],"detection":[84],"method,":[85],"introduce":[87],"a":[88,122,161,215],"novel":[89],"metric,":[92,203],"named":[93],"Class-wise":[94],"Weighted":[95],"Exposure":[96],"CWEx),":[98],"aiming":[99],"existing":[102],"limitations.":[103],"To":[104],"effectiveness":[107,115],"proposed":[110,158],"metric":[111,159],"study":[113],"LLMs'":[114],"detecting":[117],"bias,":[119],"annotate":[121],"subset":[123],"MS":[126],"MARCO":[127],"Passage":[128],"Ranking":[129],"collection":[130],"release":[132],"new":[134],"collection,":[137],"called":[138],"MSMGenderBias,":[139,183],"foster":[141],"future":[142],"research":[143],"area.":[146],"Our":[147],"extensive":[148],"experimental":[149],"results":[150],"ranking":[153],"models":[154],"show":[155],"that":[156],"offers":[160],"more":[162,216],"detailed":[163],"evaluation":[164],"compared":[167],"previous":[169],"metrics,":[170],"with":[171],"improved":[172,201],"alignment":[173],"human":[175],"labels":[176],"(58.77%":[177],"for":[178,182,208,219],"Grep-BiasIR,":[179],"18.51%":[181],"measured":[184],"using":[185],"Cohen's":[186],"\u03ba":[187],"agreement),":[188],"effectively":[189],"distinguishing":[190],"By":[195],"integrating":[196],"LLM-driven":[197],"detection,":[199],"annotations":[207],"established":[210],"dataset,":[211],"work":[213],"provides":[214],"framework":[218],"analyzing":[220],"mitigating":[222],"IR":[225],"systems.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}