{"id":"https://openalex.org/W3031292160","doi":"https://doi.org/10.1145/3318464.3384689","title":"MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness","display_name":"MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3031292160","doi":"https://doi.org/10.1145/3318464.3384689","mag":"3031292160"},"language":"en","primary_location":{"id":"doi:10.1145/3318464.3384689","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3384689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089174137","display_name":"Zhongjun Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongjun Jin","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112012073","display_name":"Mengjing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengjing Xu","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076375048","display_name":"Chenkai Sun","orcid":"https://orcid.org/0000-0002-7999-6933"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenkai Sun","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027319416","display_name":"Abolfazl Asudeh","orcid":"https://orcid.org/0000-0002-5251-6186"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abolfazl Asudeh","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087012731","display_name":"H. V. Jagadish","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. V. Jagadish","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8363,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.96430706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2721","last_page":"2724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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":0.7331552505493164},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6248300075531006},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5629645586013794},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5417294502258301},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4571745991706848},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4082106351852417},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10919442772865295},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07570186257362366},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0719711184501648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7331552505493164},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6248300075531006},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5629645586013794},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5417294502258301},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4571745991706848},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4082106351852417},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10919442772865295},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07570186257362366},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0719711184501648},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318464.3384689","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3384689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G8053517942","display_name":null,"funder_award_id":"1934565,1741022","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1819662813","https://openalex.org/W2563852449","https://openalex.org/W2788481061","https://openalex.org/W2888424849","https://openalex.org/W2896331720","https://openalex.org/W2901823434","https://openalex.org/W2963104135","https://openalex.org/W3032340379","https://openalex.org/W3123374861","https://openalex.org/W6638208828","https://openalex.org/W6753332166"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W3000105423","https://openalex.org/W2350688482","https://openalex.org/W2122135111","https://openalex.org/W2053575972"],"abstract_inverted_index":{"Data-driven":[0],"technologies":[1],"are":[2],"only":[3],"as":[4,6,39],"good":[5],"the":[7,13,24,65,72,84,102],"data":[8,16,25,98],"they":[9],"work":[10],"with.":[11],"On":[12],"other":[14],"hand,":[15],"scientists":[17,99],"have":[18],"often":[19],"limited":[20],"control":[21],"on":[22],"how":[23],"is":[26,42,87],"collected.":[27],"Failing":[28],"to":[29,100],"contain":[30],"adequate":[31],"number":[32],"of":[33,67,74],"instances":[34],"from":[35],"minority":[36],"(sub)groups,":[37],"known":[38],"population":[40,62],"bias,":[41],"a":[43,58,88],"major":[44],"reason":[45],"for":[46,60,76],"model":[47],"unfairness":[48],"and":[49,104],"disparate":[50],"performance":[51],"across":[52],"different":[53],"groups.":[54],"We":[55,70],"demonstrate":[56],"MithraCoverage,":[57],"system":[59],"investigating":[61],"bias":[63],"over":[64],"intersection":[66],"multiple":[68],"attributes.":[69],"use":[71],"concept":[73],"coverage":[75],"identifying":[77],"intersectional":[78],"subgroups":[79,106],"with":[80,91,107],"inadequate":[81],"representation":[82],"in":[83],"dataset.":[85],"MithraCoverage":[86],"web":[89],"application":[90],"an":[92],"interactive":[93],"visual":[94],"interface":[95],"that":[96],"allows":[97],"explore":[101],"dataset":[103],"identify":[105],"poor":[108],"coverage.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
