{"id":"https://openalex.org/W7207655280","doi":"https://doi.org/10.61628/jsce.v7i3.2759","title":"DNN vs CNN for YouTube Shorts Abusive Word Classification","display_name":"DNN vs CNN for YouTube Shorts Abusive Word Classification","publication_year":2026,"publication_date":"2026-07-30","ids":{"openalex":"https://openalex.org/W7207655280","doi":"https://doi.org/10.61628/jsce.v7i3.2759"},"language":"en","primary_location":{"id":"doi:10.61628/jsce.v7i3.2759","doi":"https://doi.org/10.61628/jsce.v7i3.2759","is_oa":true,"landing_page_url":"https://doi.org/10.61628/jsce.v7i3.2759","pdf_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2759/1419","source":{"id":"https://openalex.org/S4210237971","display_name":"Journal of System and Computer Engineering (JSCE)","issn_l":"2723-1240","issn":["2723-1240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210150415","host_organization_name":"Universitas Pancasakti Makassar","host_organization_lineage":["https://openalex.org/I4210150415"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of System and Computer Engineering (JSCE)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2759/1419","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5149803797","display_name":"Evan Febditya Pratama","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210147524","display_name":"Janabadra University","ror":"https://ror.org/05j20qz36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147524"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Evan Febditya Pratama","raw_affiliation_strings":["Department of Informatics, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I4210147524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049830620","display_name":"Ryan Ari Setyawan","orcid":"https://orcid.org/0000-0001-9782-250X","observed_orcids":["https://orcid.org/0000-0001-9782-250X"]},"institutions":[{"id":"https://openalex.org/I4210147524","display_name":"Janabadra University","ror":"https://ror.org/05j20qz36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147524"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ryan Ari Setyawan","raw_affiliation_strings":["Department of Informatics, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I4210147524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048486040","display_name":"Jemmy Edwin Bororing","orcid":"https://orcid.org/0000-0001-7913-9782","observed_orcids":["https://orcid.org/0000-0001-7913-9782"]},"institutions":[{"id":"https://openalex.org/I4210147524","display_name":"Janabadra University","ror":"https://ror.org/05j20qz36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147524"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Jemmy Edwin Bororing","raw_affiliation_strings":["Department of Informatics, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I4210147524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210147524"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"3","first_page":"334","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0003000000142492354,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/youtube-shorts","display_name":"YouTube Shorts","score":0.9929999709129333},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.6539999842643738},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":1.0},{"id":"https://openalex.org/keywords/multimodal-classification","display_name":"multimodal classification","score":0.6650000214576721},{"id":"https://openalex.org/keywords/content-moderation","display_name":"content moderation","score":0.5490000247955322},{"id":"https://openalex.org/keywords/harmful-content-detection","display_name":"harmful content detection","score":0.6809999942779541},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"optical character recognition","score":0.6370000243186951}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.786899983882904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592999935150146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6722000241279602},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6015999913215637},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.48809999227523804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4361000061035156},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4187000095844269},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.41519999504089355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.388700008392334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26159998774528503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.61628/jsce.v7i3.2759","doi":"https://doi.org/10.61628/jsce.v7i3.2759","is_oa":true,"landing_page_url":"https://doi.org/10.61628/jsce.v7i3.2759","pdf_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2759/1419","source":{"id":"https://openalex.org/S4210237971","display_name":"Journal of System and Computer Engineering (JSCE)","issn_l":"2723-1240","issn":["2723-1240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210150415","host_organization_name":"Universitas Pancasakti Makassar","host_organization_lineage":["https://openalex.org/I4210150415"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of System and Computer Engineering (JSCE)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.61628/jsce.v7i3.2759","doi":"https://doi.org/10.61628/jsce.v7i3.2759","is_oa":true,"landing_page_url":"https://doi.org/10.61628/jsce.v7i3.2759","pdf_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2759/1419","source":{"id":"https://openalex.org/S4210237971","display_name":"Journal of System and Computer Engineering (JSCE)","issn_l":"2723-1240","issn":["2723-1240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210150415","host_organization_name":"Universitas Pancasakti Makassar","host_organization_lineage":["https://openalex.org/I4210150415"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of System and Computer Engineering (JSCE)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7207655280.pdf","grobid_xml":"https://content.openalex.org/works/W7207655280.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2566079294","https://openalex.org/W2619383789","https://openalex.org/W2889171966","https://openalex.org/W2973089652","https://openalex.org/W2979791645","https://openalex.org/W3153990350","https://openalex.org/W3176937211","https://openalex.org/W4253406917","https://openalex.org/W4317566631","https://openalex.org/W4380302040","https://openalex.org/W4385336434","https://openalex.org/W4385805046","https://openalex.org/W4409475578"],"related_works":["https://openalex.org/W3016463114","https://openalex.org/W2790670377","https://openalex.org/W3096284134","https://openalex.org/W3201752972","https://openalex.org/W4414882210","https://openalex.org/W4403985111","https://openalex.org/W2891961174","https://openalex.org/W3046236286","https://openalex.org/W3127365535","https://openalex.org/W2511794618"],"abstract_inverted_index":{"Abusive":[0],"words":[1,170],"in":[2,14,171],"YouTube":[3,49,172],"Shorts":[4,50,173],"are":[5],"difficult":[6],"to":[7,92],"moderate":[8],"because":[9],"harmful":[10],"expressions":[11],"may":[12],"appear":[13],"captions,":[15],"comments,":[16],"or":[17],"embedded":[18],"text":[19,44,73],"within":[20],"visual":[21],"frames.":[22],"This":[23],"study":[24],"compares":[25],"the":[26,72],"performance":[27,166],"of":[28,55,108,138,143,149,154],"a":[29,35],"Deep":[30],"Neural":[31,37],"Network":[32,38],"(DNN)":[33],"and":[34,45,65,78,104,111,125,140,151],"Convolutional":[36],"(CNN)":[39],"for":[40,167],"abusive-word":[41],"classification":[42,165],"using":[43,119],"image":[46,84,126],"features":[47,68,85],"from":[48,71,88],"content.":[51,174],"The":[52,97,128],"dataset":[53,98],"consisted":[54],"1,013":[56],"image-text":[57],"samples":[58],"labeled":[59],"into":[60,80,101],"two":[61],"binary":[62],"classes:":[63],"abusive":[64,169],"non-abusive.":[66],"Textual":[67],"were":[69,86,117],"derived":[70],"column":[74],"representing":[75],"OCR/caption":[76],"information":[77],"transformed":[79],"2,500-dimensional":[81],"features,":[82],"while":[83],"obtained":[87],"RGB":[89],"images":[90],"resized":[91],"96":[93,95],"by":[94],"pixels.":[96],"was":[99],"divided":[100],"training,":[102],"validation,":[103],"testing":[105],"subsets":[106],"consisting":[107],"658,":[109],"202,":[110],"153":[112],"samples,":[113],"respectively.":[114],"Both":[115],"models":[116],"trained":[118],"dropout,":[120],"L2":[121],"regularization,":[122],"early":[123],"stopping,":[124],"augmentation.":[127],"results":[129],"show":[130],"that":[131,159],"CNN":[132,160],"outperformed":[133],"DNN,":[134],"achieving":[135],"test":[136],"accuracy":[137,148],"0.8627":[139],"macro":[141,152],"F1-score":[142,153],"0.8527,":[144],"compared":[145],"with":[146],"DNN":[147],"0.8301":[150],"0.8195.":[155],"These":[156],"findings":[157],"indicate":[158],"provides":[161],"more":[162],"effective":[163],"multimodal":[164],"detecting":[168]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-04T00:00:00"}