{"id":"https://openalex.org/W4404820837","doi":"https://doi.org/10.1108/dta-02-2024-0211","title":"TCE-DBF: textual context enhanced dynamic bimodal fusion for hate video detection","display_name":"TCE-DBF: textual context enhanced dynamic bimodal fusion for hate video detection","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4404820837","doi":"https://doi.org/10.1108/dta-02-2024-0211"},"language":"en","primary_location":{"id":"doi:10.1108/dta-02-2024-0211","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-02-2024-0211","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-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/A5083236268","display_name":"Haitao Xiong","orcid":"https://orcid.org/0000-0003-3505-4925"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Xiong","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3505-4925","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604946","display_name":"Wei Jiao","orcid":"https://orcid.org/0009-0005-3319-1100"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiao","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-3319-1100","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103246852","display_name":"Yuanyuan Cai","orcid":"https://orcid.org/0000-0002-1310-033X"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Cai","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.303,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66986081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"59","issue":"2","first_page":"201","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9980999827384949,"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":0.9980999827384949,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9811999797821045,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9689000248908997,"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/context","display_name":"Context (archaeology)","score":0.6118654012680054},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5381131768226624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5299084186553955},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10679525136947632},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.10075461864471436},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.05361276865005493},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.052297443151474}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6118654012680054},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5381131768226624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5299084186553955},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10679525136947632},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.10075461864471436},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.05361276865005493},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.052297443151474}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-02-2024-0211","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-02-2024-0211","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W154472438","https://openalex.org/W1968380849","https://openalex.org/W2183341477","https://openalex.org/W2250539671","https://openalex.org/W2290438959","https://openalex.org/W2412400526","https://openalex.org/W2481240925","https://openalex.org/W2546696630","https://openalex.org/W2556418146","https://openalex.org/W2767290858","https://openalex.org/W2889256693","https://openalex.org/W2946165673","https://openalex.org/W3036601975","https://openalex.org/W3094502228","https://openalex.org/W3115453555","https://openalex.org/W3134392554","https://openalex.org/W3135752549","https://openalex.org/W3175462521","https://openalex.org/W4226332745","https://openalex.org/W4226450814","https://openalex.org/W4308672431","https://openalex.org/W4311000453","https://openalex.org/W4312653797","https://openalex.org/W4313178214","https://openalex.org/W4313408276","https://openalex.org/W4360612651","https://openalex.org/W4380302040","https://openalex.org/W4385764438","https://openalex.org/W4385767874","https://openalex.org/W4388320747","https://openalex.org/W4390810330"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Purpose":[0],"The":[1,78,129,174,186,300],"occurrence":[2],"and":[3,19,46,87,144,222,284,297,315],"dissemination":[4],"of":[5,24,31,107,118,161,195,307],"hate":[6,26,56,74,179,211,236,257,321],"videos":[7,27,50,182,258],"in":[8,39,44,49,55,97,103,126,135,164,181,184,235,247,267,305],"social":[9,260],"media":[10],"platform":[11],"could":[12],"pose":[13],"serious":[14,172],"harm":[15],"to":[16,92,99,149,191,204,243,254,276,289,294],"both":[17],"society":[18],"individuals.":[20],"However,":[21,167],"the":[22,25,29,111,116,141,146,162,178,193,219,223,245,312],"characteristics":[23],"increase":[28],"difficulty":[30],"detection":[32,157,272,318],"task.":[33],"Hate":[34,155],"content":[35,48,180],"is":[36,121,131,177,189,241,303],"usually":[37],"presented":[38,183],"a":[40,64,231],"relatively":[41],"covert":[42],"manner":[43],"videos,":[45,104],"textual":[47,65,101,108,228,313],"plays":[51,230],"an":[52],"important":[53,233],"role":[54,234],"video":[57,75,112,124,156,212,237,268,322],"detection.":[58,76,238,323],"In":[59],"this":[60],"work,":[61],"we":[62],"propose":[63],"context":[66,109],"enhanced":[67],"dynamic":[68,83],"bimodal":[69,88,285],"fusion":[70,89,200,286],"(TCE-DBF)":[71],"method":[72,80],"for":[73,198,320],"Design/methodology/approach":[77],"proposed":[79,301],"TCE-DBF":[81,139,202,217,250,264,281,302],"introduces":[82],"modality":[84,102,229,314],"gate":[85],"(DMG)":[86],"transformer":[90,287],"network":[91,288],"dynamically":[93,290],"integrate":[94,298],"multimodalities.":[95,185],"Moreover,":[96],"order":[98],"enhance":[100],"two":[105,171],"types":[106],"from":[110,123,133],"are":[113],"taken":[114],"as":[115],"input":[117],"TCE-DBF.":[119],"One":[120],"extracted":[122,132],"frames":[125],"visual":[127],"modality.":[128,137],"other":[130],"audio":[134,143],"acoustic":[136,151],"Specially,":[138],"splits":[140],"original":[142],"learns":[145],"sequence":[147],"representation":[148],"capture":[150],"temporal":[152],"information.":[153],"Findings":[154],"has":[158],"been":[159],"one":[160],"hotspots":[163],"recent":[165],"works.":[166],"it":[168,240],"still":[169],"faces":[170],"challenges.":[173,207],"first":[175],"challenge":[176,188],"second":[187],"how":[190],"evaluate":[192],"importance":[194],"different":[196,292],"modalities":[197,296],"multimodal":[199,279,309],"modeling.":[201],"aims":[203],"tackle":[205],"these":[206],"Experimental":[208],"results":[209,225],"on":[210,259],"dataset":[213],"HateMM":[214],"demonstrate":[215],"that":[216,227],"outperforms":[218],"state-of-the-art":[220],"methods,":[221],"visualization":[224],"show":[226],"more":[232,273],"Therefore,":[239],"vital":[242],"consider":[244],"text":[246,266],"videos.":[248],"Originality/value":[249],"can":[251],"be":[252],"utilized":[253],"effectively":[255],"detect":[256],"media.":[261],"Besides":[262],"transcript,":[263],"considers":[265],"frames,":[269],"which":[270],"makes":[271],"accurate.":[274],"Meanwhile,":[275],"better":[277],"achieve":[278],"fusion,":[280],"uses":[282],"DMG":[283],"assign":[291],"weights":[293],"three":[295],"them.":[299],"novel":[304],"terms":[306],"capturing":[308],"features,":[310],"enhancing":[311],"achieving":[316],"high":[317],"performance":[319]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}