{"id":"https://openalex.org/W4293023479","doi":"https://doi.org/10.1145/3487553.3524926","title":"Improving Linguistic Bias Detection in Wikipedia using Cross-Domain Adaptive Pre-Training","display_name":"Improving Linguistic Bias Detection in Wikipedia using Cross-Domain Adaptive Pre-Training","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4293023479","doi":"https://doi.org/10.1145/3487553.3524926"},"language":"en","primary_location":{"id":"doi:10.1145/3487553.3524926","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524926","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524926","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524926","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015986042","display_name":"Karthic Madanagopal","orcid":"https://orcid.org/0000-0001-8060-7985"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karthic Madanagopal","raw_affiliation_strings":["Texas A&M University, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048489384","display_name":"James Caverlee","orcid":"https://orcid.org/0000-0001-8350-8528"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Texas A&M University, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015986042"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.5716,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8442029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1301","last_page":"1309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.998199999332428,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9814000129699707,"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/T10028","display_name":"Topic Modeling","score":0.9793999791145325,"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/computer-science","display_name":"Computer science","score":0.7563443779945374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5544384121894836},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5424810647964478},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5071713924407959},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47998377680778503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47678565979003906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42455506324768066},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11780780553817749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563443779945374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5544384121894836},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5424810647964478},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5071713924407959},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47998377680778503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47678565979003906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42455506324768066},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11780780553817749},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487553.3524926","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524926","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524926","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3487553.3524926","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524926","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524926","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","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":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293023479.pdf","grobid_xml":"https://content.openalex.org/works/W4293023479.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1493379323","https://openalex.org/W1516184288","https://openalex.org/W1570771333","https://openalex.org/W2048679005","https://openalex.org/W2053617566","https://openalex.org/W2129250947","https://openalex.org/W2250539671","https://openalex.org/W2563178664","https://openalex.org/W2620867994","https://openalex.org/W2759083144","https://openalex.org/W2798279345","https://openalex.org/W2898966467","https://openalex.org/W2901215301","https://openalex.org/W2963716420","https://openalex.org/W2980708516","https://openalex.org/W3034238904","https://openalex.org/W3094045953","https://openalex.org/W3103670089","https://openalex.org/W3174745742"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2358580169","https://openalex.org/W2111347279","https://openalex.org/W2110696645","https://openalex.org/W2487211728","https://openalex.org/W2378096925","https://openalex.org/W2348031209","https://openalex.org/W2485376993"],"abstract_inverted_index":{"Wikipedia":[0,24,58],"is":[1,25],"a":[2,28,134],"collective":[3],"intelligence":[4],"platform":[5],"that":[6,99,123],"helps":[7],"contributors":[8,40],"to":[9,26,53,72,92],"collaborate":[10],"efficiently":[11],"for":[12,38],"creating":[13],"and":[14,17,41,83,144],"disseminating":[15],"knowledge":[16],"content.":[18],"A":[19],"key":[20],"guiding":[21],"principle":[22],"of":[23,31,69,97,111,117,136,142,149],"maintain":[27],"neutral":[29],"point":[30],"view":[32],"(NPOV),":[33],"which":[34],"can":[35,145],"be":[36,101],"challenging":[37],"new":[39],"experienced":[42],"editors":[43],"alike.":[44],"Hence,":[45],"several":[46],"previous":[47],"studies":[48],"have":[49],"proposed":[50],"automated":[51],"systems":[52],"detect":[54,146],"biased":[55],"statements":[56,85],"on":[57],"with":[59,128,138,151],"mixed":[60],"results.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,107],"investigate":[66],"the":[67,109,124],"potential":[68],"cross-domain":[70,95,115,125],"pre-training":[71,116],"learn":[73,93],"bias":[74,98,112,126,150],"features":[75],"from":[76,86],"multiple":[77],"sources,":[78],"including":[79],"Wikipedia,":[80],"news":[81],"articles,":[82],"ideological":[84],"political":[87],"figures":[88],"in":[89],"an":[90,139],"effort":[91],"richer":[94],"indicators":[96],"may":[100],"missed":[102],"by":[103],"existing":[104,155],"methods.":[105,156],"Concretely,":[106],"study":[108],"effectiveness":[110],"detection":[113],"via":[114],"deep":[118],"transformer":[119],"models.":[120],"We":[121],"find":[122],"classifier":[127],"continually":[129],"pre-trained":[130],"RoBERTa":[131],"model":[132],"achieves":[133],"precision":[135],"89%":[137],"F1":[140],"score":[141],"87%,":[143],"subtle":[147],"forms":[148],"higher":[152],"accuracy":[153],"than":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}