{"id":"https://openalex.org/W2250959031","doi":"https://doi.org/10.18653/v1/d15-1234","title":"A quantitative analysis of gender differences in movies using psycholinguistic normatives","display_name":"A quantitative analysis of gender differences in movies using psycholinguistic normatives","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250959031","doi":"https://doi.org/10.18653/v1/d15-1234","mag":"2250959031"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d15-1234","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1234","pdf_url":"https://www.aclweb.org/anthology/D15-1234.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D15-1234.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072018684","display_name":"Anil Ramakrishna","orcid":"https://orcid.org/0000-0002-7999-0531"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anil Ramakrishna","raw_affiliation_strings":["Department of Computer Science,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035778334","display_name":"Nikolaos Malandrakis","orcid":"https://orcid.org/0000-0002-3667-7668"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikolaos Malandrakis","raw_affiliation_strings":["Department of Computer Science,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026003106","display_name":"Elizabeth Staruk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elizabeth Staruk","raw_affiliation_strings":["Department of Computer Science,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010028928","display_name":"Shrikanth Narayanan","orcid":"https://orcid.org/0000-0002-1052-6204"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrikanth Narayanan","raw_affiliation_strings":["Department of Computer Science,","Department of Electrical Engineering, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science,","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072018684"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2193,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92097334,"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":"1996","last_page":"2001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12908","display_name":"Media, Gender, and Advertising","score":0.9898999929428101,"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"}},"topics":[{"id":"https://openalex.org/T12908","display_name":"Media, Gender, and Advertising","score":0.9898999929428101,"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/T13173","display_name":"Gender Studies in Language","score":0.9865000247955322,"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/T12214","display_name":"Media Influence and Health","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7147616147994995},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6983155608177185},{"id":"https://openalex.org/keywords/linguistic-analysis","display_name":"Linguistic analysis","score":0.6149485111236572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6051434278488159},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6050271987915039},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5010998249053955},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4590553045272827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3433976471424103},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3219819664955139},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06787750124931335}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7147616147994995},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6983155608177185},{"id":"https://openalex.org/C2987219923","wikidata":"https://www.wikidata.org/wiki/Q777864","display_name":"Linguistic analysis","level":2,"score":0.6149485111236572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051434278488159},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6050271987915039},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5010998249053955},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4590553045272827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3433976471424103},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3219819664955139},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06787750124931335},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d15-1234","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1234","pdf_url":"https://www.aclweb.org/anthology/D15-1234.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d15-1234","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1234","pdf_url":"https://www.aclweb.org/anthology/D15-1234.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250959031.pdf","grobid_xml":"https://content.openalex.org/works/W2250959031.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W41404523","https://openalex.org/W1581462302","https://openalex.org/W1989581395","https://openalex.org/W1995726024","https://openalex.org/W2034995091","https://openalex.org/W2073679637","https://openalex.org/W2084090836","https://openalex.org/W2099469780","https://openalex.org/W2111975591","https://openalex.org/W2123682157","https://openalex.org/W2127194954","https://openalex.org/W2137370754","https://openalex.org/W2158382220","https://openalex.org/W2166164774","https://openalex.org/W2250895046","https://openalex.org/W2566113627","https://openalex.org/W4254877870","https://openalex.org/W4298089263"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W2391730868","https://openalex.org/W4394659737","https://openalex.org/W2759814045","https://openalex.org/W2118055728","https://openalex.org/W4399756845","https://openalex.org/W2736760277","https://openalex.org/W1831473261","https://openalex.org/W4293870971"],"abstract_inverted_index":{"Direct":[0],"content":[1],"analysis":[2,50],"reveals":[3],"important":[4],"details":[5],"about":[6],"movies":[7],"including":[8],"those":[9],"of":[10,31,41,60],"gender":[11,45,53],"representations":[12],"and":[13,22,55,69,72,80],"potential":[14],"biases.":[15],"We":[16,47],"investigate":[17,52],"the":[18,81],"differences":[19],"between":[20,67],"male":[21,68],"female":[23,70],"character":[24],"depictions":[25,54],"in":[26],"movies,":[27],"based":[28],"on":[29],"patterns":[30],"language":[32],"used.":[33],"Specifically,":[34],"we":[35],"use":[36,48],"an":[37],"automatically":[38],"generated":[39],"lexicon":[40],"linguistic":[42],"norms":[43],"characterizing":[44],"ladenness.":[46],"multivariate":[49],"to":[51],"correlate":[56],"them":[57],"with":[58,77],"elements":[59],"movie":[61,78],"production.":[62],"The":[63],"proposed":[64],"metric":[65],"differentiates":[66],"utterances":[71],"exhibits":[73],"some":[74],"interesting":[75],"interactions":[76],"genres":[79],"screenplay":[82],"writer":[83],"gender.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
