{"id":"https://openalex.org/W2962959442","doi":"https://doi.org/10.1109/iwbf.2019.8739202","title":"Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons","display_name":"Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2962959442","doi":"https://doi.org/10.1109/iwbf.2019.8739202","mag":"2962959442"},"language":"en","primary_location":{"id":"doi:10.1109/iwbf.2019.8739202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2019.8739202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International Workshop on Biometrics and Forensics (IWBF)","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/A5108659310","display_name":"Akari Ishikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Akari Ishikawa","raw_affiliation_strings":["RECOD Lab., University of Campinas (UNICAMP), Brazil"],"affiliations":[{"raw_affiliation_string":"RECOD Lab., University of Campinas (UNICAMP), Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085487887","display_name":"Edson Bollis","orcid":"https://orcid.org/0000-0002-0993-784X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edson Bollis","raw_affiliation_strings":["RECOD Lab., University of Campinas (UNICAMP), Brazil"],"affiliations":[{"raw_affiliation_string":"RECOD Lab., University of Campinas (UNICAMP), Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057680257","display_name":"Sandra Avila","orcid":"https://orcid.org/0000-0001-9068-938X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sandra Avila","raw_affiliation_strings":["RECOD Lab., University of Campinas (UNICAMP), Brazil"],"affiliations":[{"raw_affiliation_string":"RECOD Lab., University of Campinas (UNICAMP), Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108659310"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":1.8244,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86025531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12335","display_name":"Sexuality, Behavior, and Technology","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9684000015258789,"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/pornography","display_name":"Pornography","score":0.8195942640304565},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.7730932235717773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097072601318359},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4980602264404297},{"id":"https://openalex.org/keywords/social-phenomenon","display_name":"Social phenomenon","score":0.4565353989601135},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4536716938018799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4245151877403259},{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.41844531893730164},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38087722659111023},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3603881597518921},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.333395779132843},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15557646751403809},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.12148347496986389},{"id":"https://openalex.org/keywords/psychoanalysis","display_name":"Psychoanalysis","score":0.10812649130821228},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.10344263911247253},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07782027125358582}],"concepts":[{"id":"https://openalex.org/C2781301322","wikidata":"https://www.wikidata.org/wiki/Q291","display_name":"Pornography","level":2,"score":0.8195942640304565},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.7730932235717773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097072601318359},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4980602264404297},{"id":"https://openalex.org/C2779784881","wikidata":"https://www.wikidata.org/wiki/Q602884","display_name":"Social phenomenon","level":2,"score":0.4565353989601135},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4536716938018799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4245151877403259},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.41844531893730164},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38087722659111023},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3603881597518921},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.333395779132843},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15557646751403809},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.12148347496986389},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.10812649130821228},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.10344263911247253},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07782027125358582},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbf.2019.8739202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2019.8739202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International Workshop on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4000000059604645,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2130287785","https://openalex.org/W2141423371","https://openalex.org/W2163605009","https://openalex.org/W2279098554","https://openalex.org/W2295144887","https://openalex.org/W2364255476","https://openalex.org/W2521373549","https://openalex.org/W2560838595","https://openalex.org/W2586254711","https://openalex.org/W2612693684","https://openalex.org/W2780678160","https://openalex.org/W2811288179","https://openalex.org/W2886554762","https://openalex.org/W2900026217","https://openalex.org/W2908327111","https://openalex.org/W2914279369","https://openalex.org/W2919115771","https://openalex.org/W2962697884","https://openalex.org/W2963163009","https://openalex.org/W2964081807","https://openalex.org/W2964350391","https://openalex.org/W6679195402","https://openalex.org/W6684191040","https://openalex.org/W6694260854","https://openalex.org/W6695314431","https://openalex.org/W6755670861","https://openalex.org/W6759525833","https://openalex.org/W7052679027"],"related_works":["https://openalex.org/W4388064163","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W3178836970"],"abstract_inverted_index":{"Watching":[0],"cartoons":[1],"can":[2],"be":[3],"useful":[4],"for":[5,50],"children's":[6],"intellectual,":[7],"social":[8],"and":[9,88,101],"emotional":[10],"development.":[11],"However,":[12],"the":[13,57,60,63,74,92,113,121],"most":[14,75],"popular":[15],"video":[16],"sharing":[17],"platform":[18],"today":[19],"provides":[20],"many":[21],"videos":[22],"with":[23,45,86,98],"Elsagate":[24,26],"content.":[25],"is":[27,53,96,108],"a":[28],"phenomenon":[29],"that":[30],"depicts":[31],"childhood":[32],"characters":[33],"in":[34,56,69],"disturbing":[35,67],"circumstances":[36],"(e.g.,":[37],"gore,":[38],"toilet":[39],"humor,":[40],"drinking":[41],"urine,":[42],"stealing).":[43],"Even":[44],"this":[46],"threat":[47],"easily":[48],"available":[49],"children,":[51],"there":[52],"no":[54],"work":[55],"literature":[58,79],"addressing":[59],"problem.":[61],"As":[62],"first":[64,114],"to":[65,111,118],"explore":[66],"content":[68],"cartoons,":[70],"we":[71],"proceed":[72],"from":[73],"recent":[76],"pornography":[77],"detection":[78],"applying":[80],"deep":[81],"convolutional":[82],"neural":[83],"networks":[84],"combined":[85],"static":[87],"motion":[89],"information":[90],"of":[91,104],"video.":[93],"Our":[94,106],"solution":[95,115],"compatible":[97],"mobile":[99],"platforms":[100],"achieved":[102],"92.6%":[103],"accuracy.":[105],"goal":[107],"not":[109],"only":[110],"introduce":[112],"but":[116],"also":[117],"bring":[119],"up":[120],"discussion":[122],"around":[123],"Elsagate.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}