{"id":"https://openalex.org/W4394902678","doi":"https://doi.org/10.1145/3614419.3644028","title":"Accuracy and Fairness for Web-Based Content Analysis under Temporal Shifts and Delayed Labeling","display_name":"Accuracy and Fairness for Web-Based Content Analysis under Temporal Shifts and Delayed Labeling","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W4394902678","doi":"https://doi.org/10.1145/3614419.3644028"},"language":"en","primary_location":{"id":"doi:10.1145/3614419.3644028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614419.3644028","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Web Science Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3614419.3644028","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013442044","display_name":"Abdulaziz A. Almuzaini","orcid":"https://orcid.org/0000-0002-8003-6163"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdulaziz A. Almuzaini","raw_affiliation_strings":["Department of Computer Science, Rutgers University, United States"],"raw_orcid":"https://orcid.org/0000-0002-8003-6163","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, United States","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071634649","display_name":"David M. Pennock","orcid":"https://orcid.org/0000-0003-0522-4815"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David M. Pennock","raw_affiliation_strings":["Department of Computer Science, Rutgers University, United States"],"raw_orcid":"https://orcid.org/0000-0003-0522-4815","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, United States","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011229206","display_name":"Vivek K. Singh","orcid":"https://orcid.org/0000-0002-8194-2336"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek K. Singh","raw_affiliation_strings":["School of Communication and Information, Rutgers University, United States"],"raw_orcid":"https://orcid.org/0000-0002-8194-2336","affiliations":[{"raw_affiliation_string":"School of Communication and Information, Rutgers University, United States","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06937401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9950000047683716,"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":0.9950000047683716,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.8393913507461548},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5719575881958008},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.49594244360923767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45584529638290405},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44184964895248413},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.43386316299438477},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.415459007024765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36610913276672363},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09761273860931396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8393913507461548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5719575881958008},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.49594244360923767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45584529638290405},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44184964895248413},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.43386316299438477},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.415459007024765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36610913276672363},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09761273860931396},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":1,"locations":[{"id":"doi:10.1145/3614419.3644028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614419.3644028","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Web Science Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3614419.3644028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3614419.3644028","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Web Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2080083917","https://openalex.org/W2100960835","https://openalex.org/W2112299196","https://openalex.org/W2116984840","https://openalex.org/W2149298154","https://openalex.org/W2157664934","https://openalex.org/W2158243283","https://openalex.org/W2250539671","https://openalex.org/W2804927761","https://openalex.org/W2920807444","https://openalex.org/W2958942187","https://openalex.org/W2989114215","https://openalex.org/W3033305165","https://openalex.org/W3034700241","https://openalex.org/W3094450620","https://openalex.org/W3098037727","https://openalex.org/W3124833072","https://openalex.org/W3203313709","https://openalex.org/W3217756080","https://openalex.org/W4212866163","https://openalex.org/W4226021053","https://openalex.org/W4283453119","https://openalex.org/W4285289907","https://openalex.org/W4296548734","https://openalex.org/W4367046582","https://openalex.org/W6888840370"],"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":{"Web-based":[0],"content":[1,186],"analysis":[2,187],"tasks,":[3],"such":[4,35],"as":[5],"labeling":[6],"toxicity,":[7],"misinformation,":[8],"or":[9],"spam":[10],"often":[11,67],"rely":[12],"on":[13,143],"machine":[14,189],"learning":[15],"models":[16,25,36,45],"to":[17,52,117,160,168],"achieve":[18],"cost":[19],"and":[20,32,60,84,126,139,146,163,182,193],"scale":[21],"efficiencies.":[22],"As":[23],"these":[24,44,92],"impact":[26],"real":[27],"human":[28,72],"lives,":[29],"ensuring":[30],"accuracy":[31,162],"fairness":[33],"of":[34,43,87,103,122,184],"is":[37,66],"critical.":[38],"However,":[39],"maintaining":[40],"the":[41,53,57,61,76,81,88,115,119,128,152,169,180],"performance":[42,157],"over":[46],"time":[47],"can":[48],"be":[49],"challenging":[50],"due":[51],"temporal":[54],"shifts":[55],"in":[56,70,106],"application":[58],"context":[59],"sub-populations":[62],"represented.":[63],"Furthermore,":[64],"there":[65],"a":[68,96,175],"delay":[69],"obtaining":[71],"expert":[73],"labels":[74,116,123],"for":[75,178],"raw":[77],"data,":[78,104],"which":[79],"hinders":[80],"timely":[82],"adaptation":[83],"safe":[85],"deployment":[86],"models.":[89],"To":[90],"overcome":[91],"challenges,":[93],"we":[94],"propose":[95],"novel":[97,176],"approach":[98,134,154],"that":[99,151],"anticipates":[100],"future":[101,120],"distributions":[102],"especially":[105],"settings":[107],"where":[108],"unlabeled":[109],"data":[110],"becomes":[111],"available":[112,197],"earlier":[113],"than":[114],"estimate":[118],"distribution":[121],"per":[124],"sub-population":[125],"adapt":[127],"model":[129],"preemptively.":[130],"We":[131,149],"evaluate":[132],"our":[133],"using":[135,188],"multiple":[136],"temporally-shifting":[137],"datasets":[138,194],"consider":[140],"bias":[141],"based":[142],"racial,":[144],"political,":[145],"demographic":[147],"identities.":[148],"find":[150],"proposed":[153],"yields":[155],"promising":[156],"with":[158],"respect":[159],"both":[161],"fairness.":[164],"Our":[165],"paper":[166],"contributes":[167],"web":[170],"science":[171],"literature":[172],"by":[173],"proposing":[174],"method":[177],"enhancing":[179],"quality":[181],"equity":[183],"web-based":[185],"learning.":[190],"Experimental":[191],"code":[192],"are":[195],"publicly":[196],"at":[198],"https://github.com/Behavioral-Informatics-Lab/FAIRCAST.":[199]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
