{"id":"https://openalex.org/W4288739408","doi":"https://doi.org/10.1177/20539517221113772","title":"Feeling fixes: Mess and emotion in algorithmic audits","display_name":"Feeling fixes: Mess and emotion in algorithmic audits","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4288739408","doi":"https://doi.org/10.1177/20539517221113772"},"language":"en","primary_location":{"id":"doi:10.1177/20539517221113772","is_oa":true,"landing_page_url":"https://doi.org/10.1177/20539517221113772","pdf_url":null,"source":{"id":"https://openalex.org/S2736409588","display_name":"Big Data & Society","issn_l":"2053-9517","issn":["2053-9517"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data & Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/20539517221113772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038810932","display_name":"Os Keyes","orcid":"https://orcid.org/0000-0001-5196-609X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Os Keyes","raw_affiliation_strings":["Human-Centered Design & Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5196-609X","affiliations":[{"raw_affiliation_string":"Human-Centered Design & Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021901501","display_name":"Jeanie Austin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107496","display_name":"San Francisco Public Library","ror":"https://ror.org/013v4ng57","country_code":"US","type":"archive","lineage":["https://openalex.org/I4210107496"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeanie Austin","raw_affiliation_strings":["San Francisco Public Library, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Francisco Public Library, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210107496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038810932"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":{"value":800,"currency":"USD","value_usd":800},"apc_paid":{"value":800,"currency":"USD","value_usd":800},"fwci":2.2737,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88909608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"2","first_page":null,"last_page":null},"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":0.9873999953269958,"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":0.9873999953269958,"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/T12501","display_name":"Digital Economy and Work Transformation","score":0.9401000142097473,"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/audit","display_name":"Audit","score":0.7657979726791382},{"id":"https://openalex.org/keywords/emotive","display_name":"Emotive","score":0.7550480365753174},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6080353260040283},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.5027780532836914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48609066009521484},{"id":"https://openalex.org/keywords/autoethnography","display_name":"Autoethnography","score":0.4701188802719116},{"id":"https://openalex.org/keywords/corporate-governance","display_name":"Corporate governance","score":0.4499094784259796},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.400960773229599},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.338697612285614},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22266149520874023},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2153436541557312},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1470789909362793},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.1414623260498047},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.1407867968082428},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12899520993232727},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.09122976660728455}],"concepts":[{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.7657979726791382},{"id":"https://openalex.org/C2776215170","wikidata":"https://www.wikidata.org/wiki/Q5373820","display_name":"Emotive","level":2,"score":0.7550480365753174},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6080353260040283},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.5027780532836914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48609066009521484},{"id":"https://openalex.org/C2776225092","wikidata":"https://www.wikidata.org/wiki/Q4826265","display_name":"Autoethnography","level":2,"score":0.4701188802719116},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.4499094784259796},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.400960773229599},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.338697612285614},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22266149520874023},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2153436541557312},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1470789909362793},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.1414623260498047},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.1407867968082428},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12899520993232727},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.09122976660728455},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/20539517221113772","is_oa":true,"landing_page_url":"https://doi.org/10.1177/20539517221113772","pdf_url":null,"source":{"id":"https://openalex.org/S2736409588","display_name":"Big Data & Society","issn_l":"2053-9517","issn":["2053-9517"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data & Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:37273cfd04a04034a81d31d4db76bb53","is_oa":true,"landing_page_url":"https://doaj.org/article/37273cfd04a04034a81d31d4db76bb53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data & Society, Vol 9 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/20539517221113772","is_oa":true,"landing_page_url":"https://doi.org/10.1177/20539517221113772","pdf_url":null,"source":{"id":"https://openalex.org/S2736409588","display_name":"Big Data & Society","issn_l":"2053-9517","issn":["2053-9517"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data & Society","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W156665005","https://openalex.org/W814872039","https://openalex.org/W1515490832","https://openalex.org/W1977768580","https://openalex.org/W2001126447","https://openalex.org/W2021370805","https://openalex.org/W2027306029","https://openalex.org/W2038789605","https://openalex.org/W2045314956","https://openalex.org/W2052448616","https://openalex.org/W2071207495","https://openalex.org/W2096029063","https://openalex.org/W2111155984","https://openalex.org/W2136732773","https://openalex.org/W2154079209","https://openalex.org/W2159954676","https://openalex.org/W2169992639","https://openalex.org/W2312578238","https://openalex.org/W2315938100","https://openalex.org/W2479254478","https://openalex.org/W2589022383","https://openalex.org/W2701757763","https://openalex.org/W2752430014","https://openalex.org/W2775223645","https://openalex.org/W2792825861","https://openalex.org/W2800671728","https://openalex.org/W2807937048","https://openalex.org/W2809167795","https://openalex.org/W2898906236","https://openalex.org/W2899306192","https://openalex.org/W2903241438","https://openalex.org/W2944619733","https://openalex.org/W2957654274","https://openalex.org/W2977380590","https://openalex.org/W2995866332","https://openalex.org/W3001807593","https://openalex.org/W3010724792","https://openalex.org/W3013769762","https://openalex.org/W3037287473","https://openalex.org/W3045417466","https://openalex.org/W3082771380","https://openalex.org/W3087639409","https://openalex.org/W3088021047","https://openalex.org/W3124604646","https://openalex.org/W3125702700","https://openalex.org/W3127162919","https://openalex.org/W3135371071","https://openalex.org/W3137983208","https://openalex.org/W3139232402","https://openalex.org/W3158479996","https://openalex.org/W3159032225","https://openalex.org/W3186813321","https://openalex.org/W4205375736","https://openalex.org/W4232883390","https://openalex.org/W4235092092","https://openalex.org/W4235975748","https://openalex.org/W4237692465","https://openalex.org/W4238558194","https://openalex.org/W4239419707","https://openalex.org/W4241835763","https://openalex.org/W4242910500","https://openalex.org/W4243652901","https://openalex.org/W4246687634","https://openalex.org/W4250503870","https://openalex.org/W4251158164","https://openalex.org/W4254492082"],"related_works":["https://openalex.org/W3136158623","https://openalex.org/W2883334074","https://openalex.org/W2790092585","https://openalex.org/W2184029765","https://openalex.org/W2608886080","https://openalex.org/W3132190833","https://openalex.org/W4379740325","https://openalex.org/W3004257401","https://openalex.org/W3001651055","https://openalex.org/W4377001492"],"abstract_inverted_index":{"Efforts":[0],"to":[1,113,117,137],"address":[2,120],"algorithmic":[3,88,143],"harms":[4,122],"have":[5],"gathered":[6],"particular":[7],"steam":[8],"over":[9],"the":[10,20,74,95,138,152,163,170],"last":[11],"few":[12],"years.":[13],"One":[14],"area":[15],"of":[16,22,68,78,87,97,103,140,154,162,166,172,175],"proposed":[17],"opportunity":[18],"is":[19,99],"notion":[21],"an":[23,27,63,66],"\u201calgorithmic":[24],"audit,\u201d":[25,29],"specifically":[26],"\u201cinternal":[28],"a":[30,34,79,158,173],"process":[31,96],"in":[32,48,54,128,145],"which":[33],"system\u2019s":[35],"developers":[36],"evaluate":[37],"its":[38],"construction":[39],"and":[40,76,105],"likely":[41],"consequences.":[42],"These":[43],"processes":[44,111,134,156],"are":[45],"broadly":[46],"endorsed":[47],"theory\u2014but":[49],"how":[50],"do":[51],"they":[52],"work":[53],"practice?":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,83,91,130],"conduct":[60],"not":[61,118,149],"only":[62,119,150],"audit":[64,110,155],"but":[65,123],"autoethnography":[67],"our":[69],"experiences":[70],"doing":[71],"so.":[72],"Exploring":[73],"history":[75],"legacy":[77],"facial":[80],"recognition":[81],"dataset,":[82],"find":[84,93],"paradigmatic":[85],"examples":[86],"injustices.":[89],"But":[90],"also":[92],"that":[94,108,132,167],"discovery":[98],"interwoven":[100],"with":[101,142],"questions":[102],"affect":[104],"infrastructural":[106],"brittleness":[107],"internal":[109],"fail":[112],"articulate.":[114],"For":[115],"auditing":[116],"existing":[121],"avoid":[124],"producing":[125],"new":[126],"ones":[127],"turn,":[129],"argue":[131],"these":[133],"must":[135],"attend":[136],"\u201cmess\u201d":[139],"engaging":[141],"systems":[144],"practice.":[146],"Doing":[147],"so":[148],"reduces":[151],"risks":[153],"but\u2014through":[157],"more":[159],"nuanced":[160],"consideration":[161],"emotive":[164],"parts":[165],"mess\u2014may":[168],"enhance":[169],"benefits":[171],"form":[174],"governance":[176],"premised":[177],"entirely":[178],"on":[179],"altering":[180],"future":[181],"practices.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}