{"id":"https://openalex.org/W3106791618","doi":"https://doi.org/10.1145/3402883","title":"Fairness of Scoring in Online Job Marketplaces","display_name":"Fairness of Scoring in Online Job Marketplaces","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3106791618","doi":"https://doi.org/10.1145/3402883","mag":"3106791618"},"language":"en","primary_location":{"id":"doi:10.1145/3402883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402883","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402883","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM/IMS Transactions on Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3402883","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018343355","display_name":"Shady Elbassuoni","orcid":"https://orcid.org/0000-0002-3491-6311"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Shady Elbassuoni","raw_affiliation_strings":["American University of Beirut, Hamra, Beirut, Lebanon"],"raw_orcid":"https://orcid.org/0000-0002-3491-6311","affiliations":[{"raw_affiliation_string":"American University of Beirut, Hamra, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081664259","display_name":"Sihem Amer-Yahia","orcid":"https://orcid.org/0000-0002-6194-4502"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sihem Amer-Yahia","raw_affiliation_strings":["CNRS, University of Grenoble Alpes, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I899635006","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059707076","display_name":"Ahmad Ghizzawi","orcid":"https://orcid.org/0000-0002-7773-4294"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ahmad Ghizzawi","raw_affiliation_strings":["American University of Beirut, Hamra, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American University of Beirut, Hamra, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.48,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86396866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"1","issue":"4","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965000152587891,"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/T11182","display_name":"Auction Theory and Applications","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6602218151092529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022583246231079},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5523161888122559},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45197296142578125},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4516529142856598},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.41689634323120117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26272010803222656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2232387661933899},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.087940514087677}],"concepts":[{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6602218151092529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022583246231079},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5523161888122559},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45197296142578125},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4516529142856598},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.41689634323120117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26272010803222656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2232387661933899},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.087940514087677},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3402883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402883","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402883","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM/IMS Transactions on Data Science","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03183931v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03183931","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM/IMS Transactions on Data Science, 2020, 1 (4), pp.1-30. ⟨10.1145/3402883⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1145/3402883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3402883","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3402883","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM/IMS Transactions on Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5299999713897705,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1041279674","display_name":"MIAI @ Grenoble Alpes","funder_award_id":"ANR-19-P3IA-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5035777455","display_name":null,"funder_award_id":"103603","funder_id":"https://openalex.org/F4320309999","funder_display_name":"American University of Beirut"}],"funders":[{"id":"https://openalex.org/F4320309999","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3106791618.pdf","grobid_xml":"https://content.openalex.org/works/W3106791618.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1780185704","https://openalex.org/W1877906231","https://openalex.org/W1973264045","https://openalex.org/W2083429555","https://openalex.org/W2097246321","https://openalex.org/W2119067110","https://openalex.org/W2140384255","https://openalex.org/W2144416034","https://openalex.org/W2158701542","https://openalex.org/W2159024459","https://openalex.org/W2222460899","https://openalex.org/W2472335231","https://openalex.org/W2507358938","https://openalex.org/W2513067047","https://openalex.org/W2522882154","https://openalex.org/W2524301210","https://openalex.org/W2544318541","https://openalex.org/W2554204551","https://openalex.org/W2560674852","https://openalex.org/W2588799281","https://openalex.org/W2591809179","https://openalex.org/W2605285312","https://openalex.org/W2605800822","https://openalex.org/W2704480242","https://openalex.org/W2729398129","https://openalex.org/W2787991113","https://openalex.org/W2799201010","https://openalex.org/W2953001331","https://openalex.org/W3102518922","https://openalex.org/W3121916548","https://openalex.org/W3123029532","https://openalex.org/W3123295577","https://openalex.org/W4372267129","https://openalex.org/W6748190420"],"related_works":["https://openalex.org/W4382930947","https://openalex.org/W3152382318","https://openalex.org/W3004686567","https://openalex.org/W2738656338","https://openalex.org/W2555400967","https://openalex.org/W3214759741","https://openalex.org/W3081288631","https://openalex.org/W3174876210","https://openalex.org/W2388458847","https://openalex.org/W2086121498"],"abstract_inverted_index":{"We":[0,9,111,246,269],"study":[1],"fairness":[2,13,38,76,142,297],"of":[3,79,85,98,126,143,146,149,160,184,211,221,234,253,265,277,292,298],"scoring":[4,21,106,145,176,179,267,299],"in":[5,115,218,280,295,300],"online":[6,307],"job":[7,308],"marketplaces.":[8],"focus":[10],"on":[11,36,41,133,163,192],"group":[12,148],"and":[14,104,118,129,189,257,284],"aim":[15],"to":[16,74,122,136,156,174,202,205,213,230,238,273],"algorithmically":[17],"explore":[18],"how":[19],"a":[20,54,144,147,158,196,227,251,254,301],"function,":[22],"through":[23],"which":[24],"individuals":[25,162,215],"are":[26,46,51],"ranked":[27],"for":[28,71,77],"jobs,":[29],"treats":[30],"different":[31,127],"demographic":[32],"groups.":[33],"Previous":[34],"work":[35,93,117],"group-level":[37],"has":[39],"focused":[40],"the":[42,72,96,105,124,134,141,169,175,209,219,232,240,243,275,290,306],"case":[43],"where":[44,49],"groups":[45,78],"pre-defined":[47],"or":[48,62],"they":[50],"defined":[52,81],"using":[53,250],"single":[55],"protected":[56,86,165,223],"attribute":[57],"(e.g.,":[58],"whites":[59],"vs.":[60,64],"blacks":[61],"males":[63],"females).":[65],"In":[66],"this":[67,116],"article,":[68],"we":[69,151,190,225,288],"argue":[70],"need":[73],"examine":[75],"people":[80],"with":[82,172,242],"any":[83],"combination":[84],"attributes":[87,166],"(the-so":[88],"called":[89],"subgroup":[90],"fairness).":[91],"Existing":[92],"also":[94],"assumes":[95],"availability":[97],"worker\u2019s":[99],"data":[100,102,128,283],"(i.e.,":[101,108],"transparency)":[103],"function":[107,180],"process":[109,130,285],"transparency).":[110],"relax":[112],"that":[113,167,198,259],"assumption":[114],"run":[119,271],"user":[120],"studies":[121],"assess":[123,137,274],"effect":[125],"transparency":[131],"settings":[132],"ability":[135],"fairness.":[138],"To":[139],"quantify":[140,206,263],"individuals,":[150],"formulate":[152],"an":[153],"optimization":[154],"problem":[155],"find":[157],"partitioning":[159],"those":[161],"their":[164,222],"exhibits":[168],"highest":[170,244],"unfairness":[171,264],"respect":[173],"function.":[177],"The":[178],"yields":[181],"one":[182,241],"histogram":[183],"score":[185],"distributions":[186],"per":[187],"partition":[188,214],"rely":[191],"Earth":[193],"Mover\u2019s":[194],"Distance,":[195],"measure":[197],"is":[199,216],"commonly":[200],"used":[201],"compare":[203],"histograms,":[204],"unfairness.":[207,245],"Since":[208],"number":[210,220],"ways":[212],"exponential":[217],"attributes,":[224],"propose":[226],"heuristic":[228],"algorithm":[229,249],"navigate":[231],"space":[233],"all":[235],"possible":[236],"partitionings":[237],"identify":[239],"evaluate":[247],"our":[248,278,293],"simulation":[252],"crowdsourcing":[255],"platform":[256],"show":[258],"it":[260],"can":[261],"effectively":[262],"various":[266],"functions.":[268],"additionally":[270],"experiments":[272],"applicability":[276],"approach":[279,294],"other":[281],"less-transparent":[282],"settings.":[286],"Finally,":[287],"demonstrate":[289],"effectiveness":[291],"assessing":[296],"real":[302],"dataset":[303],"crawled":[304],"from":[305],"marketplace":[309],"TaskRabbit.":[310]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-12-07T00:00:00"}