{"id":"https://openalex.org/W4225147001","doi":"https://doi.org/10.1145/3531146.3533205","title":"Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms","display_name":"Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms","publication_year":2022,"publication_date":"2022-06-20","ids":{"openalex":"https://openalex.org/W4225147001","doi":"https://doi.org/10.1145/3531146.3533205"},"language":"en","primary_location":{"id":"doi:10.1145/3531146.3533205","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531146.3533205","pdf_url":null,"source":{"id":"https://openalex.org/S4363608463","display_name":"2022 ACM Conference on Fairness, Accountability, and Transparency","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 ACM Conference on Fairness Accountability and Transparency","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.13568","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088380658","display_name":"Terrence Neumann","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Terrence Neumann","raw_affiliation_strings":["University of Texas at Austin, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014101282","display_name":"Maria De\u2010Arteaga","orcid":"https://orcid.org/0000-0003-2297-3308"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria De-Arteaga","raw_affiliation_strings":["University of Texas at Austin, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003035955","display_name":"Sina Fazelpour","orcid":"https://orcid.org/0000-0002-4447-318X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sina Fazelpour","raw_affiliation_strings":["Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088380658"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":5.5673,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95983936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1504","last_page":"1515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9991999864578247,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.8729937076568604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651123046875},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.6291143894195557},{"id":"https://openalex.org/keywords/unintended-consequences","display_name":"Unintended consequences","score":0.5573042035102844},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5195181965827942},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.4440644383430481},{"id":"https://openalex.org/keywords/economic-justice","display_name":"Economic Justice","score":0.4290406107902527},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4215894937515259},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4125377833843231},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.34818094968795776},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3296772539615631},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.16125985980033875},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13100409507751465}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8729937076568604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651123046875},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.6291143894195557},{"id":"https://openalex.org/C2776889888","wikidata":"https://www.wikidata.org/wiki/Q1135789","display_name":"Unintended consequences","level":2,"score":0.5573042035102844},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5195181965827942},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.4440644383430481},{"id":"https://openalex.org/C139621336","wikidata":"https://www.wikidata.org/wiki/Q3190382","display_name":"Economic Justice","level":2,"score":0.4290406107902527},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4215894937515259},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4125377833843231},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34818094968795776},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3296772539615631},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.16125985980033875},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13100409507751465},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3531146.3533205","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531146.3533205","pdf_url":null,"source":{"id":"https://openalex.org/S4363608463","display_name":"2022 ACM Conference on Fairness, Accountability, and Transparency","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 ACM Conference on Fairness Accountability and Transparency","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2204.13568","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.13568","pdf_url":"https://arxiv.org/pdf/2204.13568","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.13568","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.13568","pdf_url":"https://arxiv.org/pdf/2204.13568","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1544935396","https://openalex.org/W1551678052","https://openalex.org/W1819662813","https://openalex.org/W1848672710","https://openalex.org/W2106836779","https://openalex.org/W2138424453","https://openalex.org/W2139419483","https://openalex.org/W2286559315","https://openalex.org/W2530395818","https://openalex.org/W2743800013","https://openalex.org/W2771938042","https://openalex.org/W2791170418","https://openalex.org/W2795908329","https://openalex.org/W2801971276","https://openalex.org/W2804927761","https://openalex.org/W2808309499","https://openalex.org/W2890662817","https://openalex.org/W2896536835","https://openalex.org/W2897702578","https://openalex.org/W2904687492","https://openalex.org/W2909212904","https://openalex.org/W2912457762","https://openalex.org/W2924947948","https://openalex.org/W2944575651","https://openalex.org/W2949678053","https://openalex.org/W2953243986","https://openalex.org/W2963961878","https://openalex.org/W2991138171","https://openalex.org/W2995006168","https://openalex.org/W3001629137","https://openalex.org/W3004975108","https://openalex.org/W3005222337","https://openalex.org/W3008596333","https://openalex.org/W3010579841","https://openalex.org/W3014487746","https://openalex.org/W3021955997","https://openalex.org/W3027705087","https://openalex.org/W3034195663","https://openalex.org/W3036619158","https://openalex.org/W3040042046","https://openalex.org/W3080519465","https://openalex.org/W3080696951","https://openalex.org/W3090760060","https://openalex.org/W3095651076","https://openalex.org/W3098075008","https://openalex.org/W3101206394","https://openalex.org/W3104209339","https://openalex.org/W3104239954","https://openalex.org/W3118637151","https://openalex.org/W3121385255","https://openalex.org/W3125778202","https://openalex.org/W3133874049","https://openalex.org/W3152711910","https://openalex.org/W3158897490","https://openalex.org/W3163464838","https://openalex.org/W3168799536","https://openalex.org/W3172129006","https://openalex.org/W3183404951","https://openalex.org/W3185692625","https://openalex.org/W3196041670","https://openalex.org/W3198893030","https://openalex.org/W3206428286","https://openalex.org/W3210599147","https://openalex.org/W4205941772","https://openalex.org/W4213009331","https://openalex.org/W4248403502","https://openalex.org/W4252177362","https://openalex.org/W4287774713","https://openalex.org/W4288079542","https://openalex.org/W4288334877","https://openalex.org/W4309416490","https://openalex.org/W6638208828"],"related_works":["https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4283459170","https://openalex.org/W4220949352","https://openalex.org/W4225301003","https://openalex.org/W4229014887","https://openalex.org/W4229067106","https://openalex.org/W2393480578"],"abstract_inverted_index":{"Faced":[0],"with":[1,44,141],"the":[2,34,38,59,85,91,106,149],"scale":[3],"and":[4,13,40,56,80,82,117,132,144],"surge":[5],"of":[6,24,36,61,71,78,123,151],"misinformation":[7,25,46,86],"on":[8,90],"social":[9],"media,":[10],"many":[11],"platforms":[12],"fact-checking":[14],"organizations":[15],"have":[16],"turned":[17],"to":[18,33,64,74],"algorithms":[19,143],"for":[20,68,99,113,148],"automating":[21],"key":[22],"parts":[23],"detection":[26,47,87],"pipelines.":[27],"While":[28],"offering":[29],"a":[30,66],"promising":[31],"solution":[32],"challenge":[35],"scale,":[37],"ethical":[39],"societal":[41],"risks":[42,139],"associated":[43,140],"algorithmic":[45,103,152],"are":[48],"not":[49],"well-understood.":[50],"In":[51],"this":[52,156],"paper,":[53],"we":[54,94,109,119],"employ":[55],"extend":[57],"upon":[58],"notion":[60],"informational":[62],"justice":[63,72],"develop":[65],"framework":[67,127],"explicating":[69],"issues":[70],"relating":[73],"representation,":[75],"participation,":[76],"distribution":[77],"benefits":[79],"burdens,":[81],"credibility":[83],"in":[84,105,155],"pipeline.":[88],"Drawing":[89],"framework:":[92],"(1)":[93],"show":[95],"how":[96],"injustices":[97],"materialize":[98],"stakeholders":[100],"across":[101],"three":[102],"stages":[104],"pipeline;":[107],"(2)":[108],"suggest":[110],"empirical":[111],"measures":[112],"assessing":[114],"these":[115,124,142],"injustices;":[116],"(3)":[118],"identify":[120],"potential":[121,136],"sources":[122],"harms.":[125],"This":[126],"should":[128],"help":[129],"researchers,":[130],"policymakers,":[131],"practitioners":[133],"reason":[134],"about":[135],"harms":[137],"or":[138],"provide":[145],"conceptual":[146],"guidance":[147],"design":[150],"fairness":[153],"audits":[154],"domain.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2022-05-01T00:00:00"}
