{"id":"https://openalex.org/W4296070203","doi":"https://doi.org/10.21437/interspeech.2022-10629","title":"Multilingual and Multimodal Abuse Detection","display_name":"Multilingual and Multimodal Abuse Detection","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4296070203","doi":"https://doi.org/10.21437/interspeech.2022-10629"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-10629","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-10629","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063486485","display_name":"Rini Sharon","orcid":"https://orcid.org/0000-0002-4488-5061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rini Sharon","raw_affiliation_strings":["India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002046645","display_name":"Heet Shah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heet Shah","raw_affiliation_strings":["India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034682606","display_name":"Debdoot Mukherjee","orcid":"https://orcid.org/0009-0009-4424-4449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debdoot Mukherjee","raw_affiliation_strings":["India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084003807","display_name":"Vikram Gupta","orcid":"https://orcid.org/0000-0002-9147-365X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vikram Gupta","raw_affiliation_strings":["India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1808,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81136596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4631","last_page":"4635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.949400007724762,"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":0.949400007724762,"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/computer-science","display_name":"Computer science","score":0.608644962310791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3647870719432831},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34628090262413025}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.608644962310791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3647870719432831},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34628090262413025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2022-10629","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-10629","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.7799999713897705,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1619992285","https://openalex.org/W2005217041","https://openalex.org/W2191779130","https://openalex.org/W2295124130","https://openalex.org/W2340954483","https://openalex.org/W2595653137","https://openalex.org/W2796430037","https://openalex.org/W2799945256","https://openalex.org/W2804092916","https://openalex.org/W2963481894","https://openalex.org/W2966172639","https://openalex.org/W2970641574","https://openalex.org/W2973159684","https://openalex.org/W3031668090","https://openalex.org/W3035685359","https://openalex.org/W3036601975","https://openalex.org/W3099919888","https://openalex.org/W3104916697","https://openalex.org/W3113888624","https://openalex.org/W3116641301","https://openalex.org/W3134537256","https://openalex.org/W3182473939","https://openalex.org/W3189374329","https://openalex.org/W3192799006","https://openalex.org/W3198429080","https://openalex.org/W3207431783","https://openalex.org/W4221166074","https://openalex.org/W4225286302","https://openalex.org/W4226389797","https://openalex.org/W4226450814","https://openalex.org/W4235075173","https://openalex.org/W4249272528","https://openalex.org/W4287075881","https://openalex.org/W4287173589"],"related_works":["https://openalex.org/W2611614995","https://openalex.org/W2368651715","https://openalex.org/W2789919619","https://openalex.org/W1552159754","https://openalex.org/W2148757832","https://openalex.org/W4321496520","https://openalex.org/W2293457016","https://openalex.org/W3169305685","https://openalex.org/W1515542156","https://openalex.org/W3107474891"],"abstract_inverted_index":{"The":[0],"presence":[1],"of":[2,64,151],"abusive":[3,99,181],"content":[4],"on":[5,84,119,127],"social":[6,18,53],"media":[7,19,54],"platforms":[8],"is":[9,58,173],"undesirable":[10],"as":[11],"it":[12],"severely":[13],"impedes":[14],"healthy":[15],"and":[16,101,131,154,180],"safe":[17],"interactions.While":[20],"automatic":[21],"abuse":[22,32,41],"detection":[23,33,42],"has":[24],"been":[25],"widely":[26],"explored":[27],"in":[28,43,50,97,106,135],"textual":[29,109],"domain,":[30],"audio":[31,45,90,100],"still":[34],"remains":[35],"unexplored.In":[36],"this":[37,77],"paper,":[38],"we":[39,165],"attempt":[40],"conversational":[44],"from":[46,69],"a":[47,51,174],"multimodal":[48],"perspective":[49],"multilingual":[52],"setting.Our":[55],"key":[56],"hypothesis":[57],"that":[59,112,171],"along":[60],"with":[61],"the":[62,89,93,98,102,107,120,124,136,149,156,162],"modelling":[63],"audio,":[65],"incorporating":[66],"discriminative":[67],"information":[68,104],"other":[70,87],"modalities":[71,86,163],"can":[72],"be":[73],"highly":[74],"beneficial":[75],"for":[76,147],"task.Our":[78],"proposed":[79,125],"method,":[80],"MADA,":[81],"explicitly":[82],"focuses":[83],"two":[85],"than":[88],"itself,":[91],"namely,":[92],"underlying":[94,178],"emotions":[95,179],"expressed":[96],"semantic":[103],"encapsulated":[105],"corresponding":[108],"form.Observations":[110],"prove":[111],"MADA":[113],"demonstrates":[114],"gains":[115,134],"over":[116],"audio-only":[117],"approaches":[118],"ADIMA":[121],"dataset.We":[122],"test":[123],"approach":[126],"10":[128],"different":[129],"languages":[130],"observe":[132,155],"consistent":[133],"range":[137],"0.6%-5.2%by":[138],"leveraging":[139,160],"multiple":[140],"modalities.We":[141],"also":[142],"perform":[143,166],"extensive":[144],"ablation":[145],"experiments":[146,167],"studying":[148],"contributions":[150],"every":[152],"modality":[153],"best":[157],"results":[158],"while":[159],"all":[161],"together.Additionally,":[164],"to":[168],"empirically":[169],"confirm":[170],"there":[172],"strong":[175],"correlation":[176],"between":[177],"behaviour.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
