{"id":"https://openalex.org/W3038236330","doi":"https://doi.org/10.1145/3378393.3402507","title":"The Role of In-Group Bias and Balanced Data","display_name":"The Role of In-Group Bias and Balanced Data","publication_year":2020,"publication_date":"2020-06-15","ids":{"openalex":"https://openalex.org/W3038236330","doi":"https://doi.org/10.1145/3378393.3402507","mag":"3038236330"},"language":"en","primary_location":{"id":"doi:10.1145/3378393.3402507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3378393.3402507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","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/A5083581537","display_name":"Arpita Biswas","orcid":"https://orcid.org/0000-0002-5720-013X"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpita Biswas","raw_affiliation_strings":["Indian Institute of Science, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008188662","display_name":"Marta Ko\u0142czy\u0144ska","orcid":"https://orcid.org/0000-0003-4981-0437"},"institutions":[{"id":"https://openalex.org/I4210159056","display_name":"Institute of Political Studies","ror":"https://ror.org/05tkv2291","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210159056","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marta Kolczynska","raw_affiliation_strings":["Institute of Political Studies of the Polish Academy of Sciences, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Political Studies of the Polish Academy of Sciences, Poland","institution_ids":["https://openalex.org/I4210159056","https://openalex.org/I99542240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049363667","display_name":"Saana Rantanen","orcid":null},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Saana Rantanen","raw_affiliation_strings":["University of Turku, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036112257","display_name":"Polina Rozenshtein","orcid":"https://orcid.org/0000-0003-1714-5567"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Polina Rozenshtein","raw_affiliation_strings":["Institute of Data Science, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Science, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3876,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90107591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"104"},"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":0.9977999925613403,"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":0.9977999925613403,"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/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.9900000095367432,"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/T10574","display_name":"Crime Patterns and Interventions","score":0.9768999814987183,"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/recidivism","display_name":"Recidivism","score":0.8545824289321899},{"id":"https://openalex.org/keywords/vignette","display_name":"Vignette","score":0.8148748278617859},{"id":"https://openalex.org/keywords/respondent","display_name":"Respondent","score":0.7730070948600769},{"id":"https://openalex.org/keywords/comparability","display_name":"Comparability","score":0.6661403179168701},{"id":"https://openalex.org/keywords/survey-data-collection","display_name":"Survey data collection","score":0.5341042280197144},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.5129282474517822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43572166562080383},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.42542874813079834},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.32150018215179443},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3162972927093506},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28429532051086426},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.24654275178909302},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.1868514120578766},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11335489153862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10039472579956055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09918618202209473},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09137082099914551},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08707743883132935}],"concepts":[{"id":"https://openalex.org/C2776090404","wikidata":"https://www.wikidata.org/wiki/Q1420643","display_name":"Recidivism","level":2,"score":0.8545824289321899},{"id":"https://openalex.org/C9719361","wikidata":"https://www.wikidata.org/wiki/Q7928967","display_name":"Vignette","level":2,"score":0.8148748278617859},{"id":"https://openalex.org/C2776640315","wikidata":"https://www.wikidata.org/wiki/Q7315941","display_name":"Respondent","level":2,"score":0.7730070948600769},{"id":"https://openalex.org/C197947376","wikidata":"https://www.wikidata.org/wiki/Q5155608","display_name":"Comparability","level":2,"score":0.6661403179168701},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.5341042280197144},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.5129282474517822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43572166562080383},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.42542874813079834},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.32150018215179443},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3162972927093506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28429532051086426},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.24654275178909302},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.1868514120578766},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11335489153862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10039472579956055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09918618202209473},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09137082099914551},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08707743883132935},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3378393.3402507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3378393.3402507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W64581525","https://openalex.org/W1819662813","https://openalex.org/W1831050183","https://openalex.org/W1961345416","https://openalex.org/W2014352947","https://openalex.org/W2097098436","https://openalex.org/W2100960835","https://openalex.org/W2116984840","https://openalex.org/W2123882742","https://openalex.org/W2149252982","https://openalex.org/W2584805976","https://openalex.org/W2599025709","https://openalex.org/W2604790242","https://openalex.org/W2605355783","https://openalex.org/W2748003190","https://openalex.org/W2772794881","https://openalex.org/W2785011159","https://openalex.org/W2786242872","https://openalex.org/W2790628304","https://openalex.org/W2890416412","https://openalex.org/W2945776595","https://openalex.org/W3083206818","https://openalex.org/W3123374861","https://openalex.org/W4249292692","https://openalex.org/W4254775441","https://openalex.org/W4288359825","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W604999504","https://openalex.org/W4247678151","https://openalex.org/W2051763384","https://openalex.org/W570394781","https://openalex.org/W2018637385","https://openalex.org/W2739622001","https://openalex.org/W2780186965","https://openalex.org/W4288695590","https://openalex.org/W2137370257","https://openalex.org/W1999073689"],"abstract_inverted_index":{"Fairness":[0],"and":[1,47,70,82,118,130,168,182,190,197,232,250],"bias":[2],"in":[3,14,137,145,159],"automated":[4,52],"decision-making":[5],"gain":[6],"importance":[7],"as":[8,78],"the":[9,24,58,61,71,88,115,157,163,180,209,212,220,240],"prevalence":[10],"of":[11,17,26,50,60,75,85,102,128,147,166,184,188,204,211],"algorithms":[12],"increases":[13],"different":[15],"areas":[16],"social":[18],"life.":[19],"This":[20],"paper":[21],"contributes":[22],"to":[23,41,48,114,156,174,201,219],"discussion":[25],"algorithmic":[27],"fairness":[28,183],"with":[29,87,112,229,234],"a":[30,79,100,124],"crowdsourced":[31],"vignette":[32],"survey":[33,122,160],"on":[34,44,243],"recidivism":[35,53,97],"risk":[36,54,98],"assessment,":[37],"which":[38],"we":[39,222],"compare":[40],"previous":[42,151],"studies":[43],"this":[45],"topic":[46],"predictions":[49,136,185],"an":[51],"tool.":[55],"We":[56,133,153,177,192,237],"use":[57],"case":[59],"Correctional":[62],"Offender":[63],"Management":[64],"Profiling":[65],"for":[66,83,99],"Alternative":[67],"Sanctions":[68],"(COMPAS)":[69],"Broward":[72],"County":[73],"dataset":[74],"pre-trial":[76],"defendants":[77,203],"data":[80,231,245],"source":[81],"purposes":[84],"comparability":[86],"earlier":[89],"analysis.":[90],"In":[91,217],"our":[92,138],"survey,":[93,221],"each":[94,108,175],"respondent":[95,189],"assessed":[96],"set":[101,109,165],"vignettes":[103,167],"describing":[104],"real":[105],"defendants,":[106],"where":[107],"was":[110],"balanced":[111,164,230,244],"regard":[113],"defendants'":[116],"race":[117,187],"re-offender":[119],"status.":[120],"The":[121],"ensured":[123],"50:":[125],"50":[126],"ratio":[127],"black":[129,198],"white":[131,196],"respondents.":[132],"found":[134,193],"that":[135,194,239],"survey---while":[139],"less":[140,252],"accurate---were":[141],"considerably":[142],"more":[143,248],"fair":[144,249],"terms":[146],"equalized":[148],"odds":[149],"than":[150],"surveys.":[152],"attribute":[154],"it":[155],"differences":[158],"design:":[161],"using":[162],"not":[169],"providing":[170],"feedback":[171],"after":[172],"responding":[173],"vignette.":[176],"also":[178],"analyzed":[179],"performance":[181],"by":[186],"defendant.":[191],"both":[195],"respondents":[199],"tend":[200],"favor":[202],"their":[205],"own":[206],"race,":[207],"but":[208],"magnitude":[210],"effect":[213],"is":[214,246],"relatively":[215],"small.":[216],"addition":[218],"train":[223],"two":[224],"statistical":[225],"models,":[226],"one":[227],"trained":[228,242],"other":[233],"unbalanced":[235],"data.":[236],"observe":[238],"model":[241],"substantially":[247],"possess":[251],"in-group":[253],"bias.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
