{"id":"https://openalex.org/W4380318756","doi":"https://doi.org/10.1145/3593013.3594013","title":"Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?","display_name":"Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380318756","doi":"https://doi.org/10.1145/3593013.3594013"},"language":"en","primary_location":{"id":"doi:10.1145/3593013.3594013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3593013.3594013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3593013.3594013","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3593013.3594013","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057996561","display_name":"Terrence S. Neumann","orcid":"https://orcid.org/0000-0001-5662-6705"},"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"],"raw_orcid":"https://orcid.org/0000-0001-5662-6705","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028830706","display_name":"Nicholas Wolczynski","orcid":"https://orcid.org/0000-0003-4502-3452"},"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":"Nicholas Wolczynski","raw_affiliation_strings":["University of Texas at Austin, USA"],"raw_orcid":"https://orcid.org/0000-0003-4502-3452","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057996561"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":2.816,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.91306477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"480","last_page":"490"},"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/T10557","display_name":"Social Media and Politics","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.8538357019424438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7983652353286743},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5255523920059204},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.501317024230957},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.4713693857192993},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4634295403957367},{"id":"https://openalex.org/keywords/model-checking","display_name":"Model checking","score":0.4609120488166809},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.41325467824935913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4101952612400055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3757467269897461},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32021191716194153},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2471320927143097}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8538357019424438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983652353286743},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5255523920059204},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.501317024230957},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.4713693857192993},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4634295403957367},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.4609120488166809},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.41325467824935913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4101952612400055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3757467269897461},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32021191716194153},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2471320927143097},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3593013.3594013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3593013.3594013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3593013.3594013","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3593013.3594013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3593013.3594013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3593013.3594013","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4380318756.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W638849767","https://openalex.org/W646237081","https://openalex.org/W1984490314","https://openalex.org/W1989298268","https://openalex.org/W2027180569","https://openalex.org/W2034379621","https://openalex.org/W2076718192","https://openalex.org/W2131681506","https://openalex.org/W2132070354","https://openalex.org/W2150704630","https://openalex.org/W2175932111","https://openalex.org/W2178843456","https://openalex.org/W2295598076","https://openalex.org/W2589710249","https://openalex.org/W2743800013","https://openalex.org/W2790166049","https://openalex.org/W2936655406","https://openalex.org/W2945941328","https://openalex.org/W3055079984","https://openalex.org/W3099768174","https://openalex.org/W3133423348","https://openalex.org/W3185692625","https://openalex.org/W4226412112","https://openalex.org/W4232523802","https://openalex.org/W4282962000","https://openalex.org/W4283168161","https://openalex.org/W4315588263"],"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/W4388798880"],"abstract_inverted_index":{"In":[0,70],"recent":[1],"years,":[2],"algorithms":[3,57],"have":[4,42,50],"been":[5],"incorporated":[6],"into":[7,181],"fact-checking":[8,33,93,144,211,217],"pipelines.":[9],"They":[10],"are":[11,64],"used":[12],"not":[13],"only":[14],"to":[15,22,62,120,171,201],"flag":[16],"previously":[17],"fact-checked":[18],"misinformation,":[19],"but":[20],"also":[21],"provide":[23],"suggestions":[24],"about":[25],"which":[26],"trending":[27],"claims":[28],"should":[29],"be":[30],"prioritized":[31],"for":[32,94,149,161],"-":[34],"a":[35,114,137],"paradigm":[36],"called":[37],"\u2018check-worthiness.\u2019":[38],"While":[39],"several":[40],"studies":[41],"examined":[43],"the":[44,53,82,87,103,206],"accuracy":[45],"of":[46,81,89,124,151,209],"these":[47,56],"algorithms,":[48],"none":[49],"investigated":[51],"how":[52,75,182],"benefits":[54,90,192],"from":[55,91],"(via":[58],"reduction":[59],"in":[60,175,191],"exposure":[61],"misinformation)":[63],"distributed":[65],"amongst":[66],"various":[67],"online":[68,96],"communities.":[69,97,197],"this":[71],"paper,":[72],"we":[73,140],"investigate":[74],"diverse":[76],"representation":[77],"across":[78,129],"multiple":[79,130],"stages":[80],"AI":[83],"development":[84],"pipeline":[85],"affects":[86],"distribution":[88],"AI-assisted":[92,210],"different":[95],"We":[98,153],"simulate":[99],"information":[100,128],"propagation":[101],"through":[102],"network":[104],"using":[105,133],"our":[106],"novel":[107],"Topic-Aware,":[108],"Community-Impacted":[109],"Twitter":[110,116],"(TACIT)":[111],"simulator":[112],"on":[113],"large":[115],"followers":[117],"network,":[118],"tuned":[119],"produce":[121],"realistic":[122],"cascades":[123],"true":[125],"and":[126,158,163,195,216],"false":[127],"topics.":[131],"Finally,":[132],"simulated":[134],"data":[135,168],"as":[136],"test":[138],"bed,":[139],"implement":[141],"numerous":[142],"algorithmic":[143,185],"interventions":[145],"that":[146,155],"explicitly":[147],"account":[148],"notions":[150],"diversity.":[152],"find":[154],"both":[156],"representative":[157],"egalitarian":[159],"methods":[160],"sampling":[162],"labeling":[164],"check-worthiness":[165],"model":[166],"training":[167],"can":[169,187],"lead":[170],"network-wide":[172],"benefit":[173],"concentrated":[174],"majority":[176,194],"communities,":[177],"while":[178],"incorporating":[179],"diversity":[180],"fact-checkers":[183],"use":[184],"recommendations":[186],"actively":[188],"reduce":[189],"inequalities":[190],"between":[193],"minority":[196],"These":[198],"findings":[199],"contribute":[200],"an":[202],"important":[203],"conversation":[204],"around":[205],"responsible":[207],"implementation":[208],"by":[212],"social":[213],"media":[214],"platforms":[215],"organizations.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
