{"id":"https://openalex.org/W3202755633","doi":"https://doi.org/10.1109/besc53957.2021.9635182","title":"Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making","display_name":"Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W3202755633","doi":"https://doi.org/10.1109/besc53957.2021.9635182","mag":"3202755633"},"language":"en","primary_location":{"id":"doi:10.1109/besc53957.2021.9635182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc53957.2021.9635182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 8th International Conference on Behavioral and Social Computing (BESC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047165067","display_name":"Jianlong Zhou","orcid":"https://orcid.org/0000-0001-6034-644X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianlong Zhou","raw_affiliation_strings":["Data Science Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107747167","display_name":"Sunny Verma","orcid":"https://orcid.org/0000-0002-6768-4705"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sunny Verma","raw_affiliation_strings":["Data Science Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062982685","display_name":"Mudit Mittal","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mudit Mittal","raw_affiliation_strings":["Data Science Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083703240","display_name":"Fang Chen","orcid":"https://orcid.org/0000-0002-0326-8737"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fang Chen","raw_affiliation_strings":["Data Science Institute, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Institute, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":4.2524,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95654798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.993399977684021,"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":0.993399977684021,"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/T12520","display_name":"Psychology of Moral and Emotional Judgment","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12521","display_name":"Death Anxiety and Social Exclusion","score":0.9559000134468079,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.7336041331291199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709581732749939},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.6749961972236633},{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.6517335176467896},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19372960925102234}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7336041331291199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709581732749939},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.6749961972236633},{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.6517335176467896},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19372960925102234},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc53957.2021.9635182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc53957.2021.9635182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 8th International Conference on Behavioral and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1526225581","https://openalex.org/W1730560180","https://openalex.org/W1981856831","https://openalex.org/W1994171922","https://openalex.org/W1997311503","https://openalex.org/W2014352947","https://openalex.org/W2026835018","https://openalex.org/W2037710531","https://openalex.org/W2050415243","https://openalex.org/W2057523953","https://openalex.org/W2093766911","https://openalex.org/W2119434757","https://openalex.org/W2123001910","https://openalex.org/W2130369780","https://openalex.org/W2142175015","https://openalex.org/W2153680437","https://openalex.org/W2403343111","https://openalex.org/W2584805976","https://openalex.org/W2599025709","https://openalex.org/W2624319794","https://openalex.org/W2773101768","https://openalex.org/W2792183666","https://openalex.org/W2885659818","https://openalex.org/W2895471314","https://openalex.org/W2908730746","https://openalex.org/W2914202940","https://openalex.org/W2951501516","https://openalex.org/W2960745719","https://openalex.org/W2962977061","https://openalex.org/W2963453196","https://openalex.org/W2969380428","https://openalex.org/W2983996708","https://openalex.org/W3012094463","https://openalex.org/W3029022080","https://openalex.org/W3037383500","https://openalex.org/W3041909682","https://openalex.org/W3103751997","https://openalex.org/W3133543405","https://openalex.org/W3159056326","https://openalex.org/W4289438483","https://openalex.org/W6679399369","https://openalex.org/W6738844735","https://openalex.org/W6738870502","https://openalex.org/W6746180284","https://openalex.org/W6979783270"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1987888524","https://openalex.org/W2415594679","https://openalex.org/W2111385166","https://openalex.org/W2119108885","https://openalex.org/W3190981800","https://openalex.org/W2967105077","https://openalex.org/W2230884280","https://openalex.org/W1969053466","https://openalex.org/W2379331395"],"abstract_inverted_index":{"The":[0],"adoption":[1],"of":[2,22,114,123,152,159,170,178],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"is":[6,29,128],"currently":[7],"under":[8],"scrutiny":[9],"due":[10],"to":[11,32,39,92,120,132,148],"various":[12],"concerns":[13],"such":[14],"as":[15],"fairness,":[16,124],"and":[17,47,64,125,167],"how":[18,72],"does":[19,73],"the":[20,41,149,156,165],"fairness":[21,46,76,100,116,154],"an":[23],"AI":[24],"algorithm":[25],"affects":[26,77],"user's":[27],"trust":[28,79,134],"much":[30],"legitimate":[31],"pursue.":[33],"In":[34,52],"this":[35,171],"regard,":[36],"we":[37,54,69,87,140,163],"aim":[38],"understand":[40,85],"relationship":[42],"between":[43],"induced":[44,74],"algorithmic":[45,75,81,136],"its":[48],"perception":[49,122],"in":[50,57,80,101,135],"humans.":[51],"particular,":[53],"are":[55,61,117,145],"interested":[56],"whether":[58],"these":[59],"two":[60],"positively":[62,118,130],"correlated":[63],"reflect":[65],"substantive":[66],"fairness.":[67,161,179],"Furthermore,":[68],"also":[70,129,141],"study":[71,91],"user":[78,90,133],"decision":[82,137],"making.":[83,138],"To":[84],"this,":[86],"perform":[88],"a":[89,102,174],"simulate":[93],"candidate":[94],"shortlisting":[95],"by":[96],"introduced":[97,115,153,160],"(manipulating":[98],"mathematical)":[99],"human":[103,121],"resource":[104],"recruitment":[105],"setting.":[106],"Our":[107],"experimental":[108],"results":[109],"demonstrate":[110],"that":[111,143],"different":[112],"levels":[113,151,158],"related":[119,131],"simultaneously":[126],"it":[127],"Interestingly,":[139],"found":[142],"users":[144],"more":[146],"sensitive":[147],"higher":[150],"than":[155],"lower":[157],"Besides,":[162],"summarize":[164],"theoretical":[166],"practical":[168],"implications":[169],"research":[172],"with":[173],"discussion":[175],"on":[176],"nercention":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}