{"id":"https://openalex.org/W3031968722","doi":"https://doi.org/10.1145/3313831.3376488","title":"Detecting Gender Stereotypes: Lexicon vs. Supervised Learning Methods","display_name":"Detecting Gender Stereotypes: Lexicon vs. Supervised Learning Methods","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3031968722","doi":"https://doi.org/10.1145/3313831.3376488","mag":"3031968722"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068072432","display_name":"Jenna Cryan","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenna Cryan","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019926547","display_name":"Shiliang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiliang Tang","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381553","display_name":"Xinyi Zhang","orcid":"https://orcid.org/0000-0002-7144-5037"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyi Zhang","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048806623","display_name":"Miriam J. Metzger","orcid":"https://orcid.org/0000-0001-8433-8604"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miriam Metzger","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022672030","display_name":"Hai-Tao Zheng","orcid":"https://orcid.org/0000-0001-5128-5649"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitao Zheng","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108248360","display_name":"Ben Y. Zhao","orcid":"https://orcid.org/0009-0003-8909-0494"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Y. Zhao","raw_affiliation_strings":["University of Chicago, chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago, chicago, IL, USA","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3853,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93710801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9976999759674072,"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/T13173","display_name":"Gender Studies in Language","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T13718","display_name":"Media Influence and Politics","score":0.9476000070571899,"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/lexicon","display_name":"Lexicon","score":0.9136370420455933},{"id":"https://openalex.org/keywords/gender-bias","display_name":"Gender bias","score":0.6472601294517517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6208292841911316},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5622541904449463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5092922449111938},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42971354722976685},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4164227843284607},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.391762912273407},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3812967538833618},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.17669141292572021},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.08874779939651489}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.9136370420455933},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.6472601294517517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208292841911316},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5622541904449463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5092922449111938},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42971354722976685},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4164227843284607},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.391762912273407},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3812967538833618},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.17669141292572021},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.08874779939651489},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313831.3376488","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313831.3376488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G7167785048","display_name":null,"funder_award_id":"CNS-1923778, CNS-1705042","funder_id":"https://openalex.org/F4320309856","funder_display_name":"National Youth Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2027050656","https://openalex.org/W2031632721","https://openalex.org/W2074466695","https://openalex.org/W2084046180","https://openalex.org/W2099068279","https://openalex.org/W2102614574","https://openalex.org/W2105971942","https://openalex.org/W2114431494","https://openalex.org/W2124024291","https://openalex.org/W2153579005","https://openalex.org/W2166730164","https://openalex.org/W2250539671","https://openalex.org/W2336265596","https://openalex.org/W2435251607","https://openalex.org/W2483215953","https://openalex.org/W2493916176","https://openalex.org/W2560319724","https://openalex.org/W2595653137","https://openalex.org/W2613977835","https://openalex.org/W2740470375","https://openalex.org/W2750779823","https://openalex.org/W2760400867","https://openalex.org/W2771754551","https://openalex.org/W2798357113","https://openalex.org/W2889624842","https://openalex.org/W2893425640","https://openalex.org/W2953001331","https://openalex.org/W2962990575","https://openalex.org/W2963078909","https://openalex.org/W2963341956","https://openalex.org/W2963349562","https://openalex.org/W2963526187","https://openalex.org/W2963908579","https://openalex.org/W3103061166","https://openalex.org/W3125817989","https://openalex.org/W4256090461"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W2391730868","https://openalex.org/W2759814045","https://openalex.org/W4293870971","https://openalex.org/W1831473261","https://openalex.org/W3031968722","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Biases":[0],"in":[1,21,51],"language":[2,53],"influence":[3],"how":[4],"we":[5],"interact":[6],"with":[7,66],"each":[8],"other":[9],"and":[10,28,34],"society":[11],"at":[12],"large.":[13],"Language":[14],"affirming":[15],"gender":[16,49,68],"stereotypes":[17,50],"is":[18,41],"often":[19],"observed":[20],"various":[22],"contexts":[23],"today,":[24],"from":[25,82],"recommendation":[26],"letters":[27],"Wikipedia":[29],"entries":[30],"to":[31,38,47],"fiction":[32],"novels":[33],"movie":[35],"dialogue.":[36],"Yet":[37],"date,":[39],"there":[40],"little":[42],"agreement":[43],"on":[44,71,77],"the":[45,55,78],"methodology":[46,59],"quantify":[48],"natural":[52],"(specifically":[54],"English":[56],"language).":[57],"Common":[58],"(including":[60],"those":[61],"adopted":[62],"by":[63],"companies":[64],"tasked":[65],"detecting":[67],"bias)":[69],"rely":[70],"a":[72],"lexicon":[73],"approach":[74],"largely":[75],"based":[76],"original":[79],"BSRI":[80],"study":[81],"1974.":[83]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
