{"id":"https://openalex.org/W4412888132","doi":"https://doi.org/10.18653/v1/2025.findings-acl.667","title":"Towards Explainable Hate Speech Detection","display_name":"Towards Explainable Hate Speech Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888132","doi":"https://doi.org/10.18653/v1/2025.findings-acl.667"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.667","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.667","pdf_url":"https://aclanthology.org/2025.findings-acl.667.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.667.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181342","display_name":"Happy Khairunnisa Sariyanto","orcid":null},"institutions":[{"id":"https://openalex.org/I2799318839","display_name":"Universit\u00e4tsmedizin Greifswald","ror":"https://ror.org/025vngs54","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799318839"]},{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Happy Khairunnisa Sariyanto","raw_affiliation_strings":["Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany","institution_ids":["https://openalex.org/I2799318839","https://openalex.org/I36522303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078715565","display_name":"Diclehan Ulucan","orcid":"https://orcid.org/0000-0002-7059-302X"},"institutions":[{"id":"https://openalex.org/I2799318839","display_name":"Universit\u00e4tsmedizin Greifswald","ror":"https://ror.org/025vngs54","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799318839"]},{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diclehan Ulucan","raw_affiliation_strings":["Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany","institution_ids":["https://openalex.org/I2799318839","https://openalex.org/I36522303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050177044","display_name":"Oguzhan Ulucan","orcid":"https://orcid.org/0000-0003-2077-9691"},"institutions":[{"id":"https://openalex.org/I2799318839","display_name":"Universit\u00e4tsmedizin Greifswald","ror":"https://ror.org/025vngs54","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799318839"]},{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oguzhan Ulucan","raw_affiliation_strings":["Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany","institution_ids":["https://openalex.org/I2799318839","https://openalex.org/I36522303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023822326","display_name":"Marc Ebner","orcid":"https://orcid.org/0000-0003-2725-2454"},"institutions":[{"id":"https://openalex.org/I2799318839","display_name":"Universit\u00e4tsmedizin Greifswald","ror":"https://ror.org/025vngs54","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799318839"]},{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Ebner","raw_affiliation_strings":["Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Computer Science , University of Greifswald 17489 Greifswald , Germany","institution_ids":["https://openalex.org/I2799318839","https://openalex.org/I36522303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.673,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83344545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"12883","last_page":"12893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9437000155448914,"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":0.9437000155448914,"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":0.6918073296546936},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34868261218070984},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3456302881240845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918073296546936},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34868261218070984},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3456302881240845}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.667","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.667","pdf_url":"https://aclanthology.org/2025.findings-acl.667.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.667","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.667","pdf_url":"https://aclanthology.org/2025.findings-acl.667.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888132.pdf","grobid_xml":"https://content.openalex.org/works/W4412888132.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"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":{"Recent":[0],"advancements":[1],"in":[2,136],"deep":[3,33],"learning":[4,34],"have":[5],"significantly":[6],"enhanced":[7],"the":[8,30,68,97],"efficiency":[9],"and":[10,36,90,100,107,116],"accuracy":[11],"of":[12,32,70,87],"natural":[13],"language":[14],"processing":[15],"(NLP)":[16],"tasks.However,":[17],"these":[18],"models":[19],"often":[20],"require":[21],"substantial":[22],"computational":[23],"resources,":[24],"which":[25],"remains":[26],"a":[27,50,58,80,84],"major":[28],"drawback.Reducing":[29],"complexity":[31],"architectures,":[35],"exploring":[37],"simpler":[38],"yet":[39],"effective":[40],"approaches":[41],"can":[42,126],"lead":[43],"to":[44],"cost-efficient":[45],"NLP":[46],"solutions.This":[47],"is":[48,61],"also":[49],"step":[51],"towards":[52],"explainable":[53],"AI,":[54],"i.e.,":[55],"uncovering":[56],"how":[57],"particular":[59],"task":[60,69],"carried":[62],"out.For":[63],"this":[64,123],"analysis,":[65],"we":[66,103],"chose":[67],"hate":[71,75,105,138],"speech":[72,76,106,109],"detection.We":[73],"address":[74],"detection":[77],"by":[78],"introducing":[79],"model":[81],"that":[82,122],"employs":[83],"weighted":[85],"sum":[86],"valence,":[88],"arousal,":[89],"dominance":[91],"(VAD)":[92],"scores":[93],"for":[94],"classification.To":[95],"determine":[96],"optimal":[98],"weights":[99],"classification":[101],"strategies,":[102],"analyze":[104],"non-hate":[108],"words":[110],"based":[111],"on":[112],"both":[113],"their":[114],"individual":[115],"summed":[117],"VAD-values.Our":[118],"experimental":[119],"results":[120],"demonstrate":[121],"straightforward":[124],"approach":[125],"compete":[127],"with":[128],"state-of-the-art":[129],"neural":[130],"network":[131],"methods,":[132],"including":[133],"GPT-based":[134],"models,":[135],"detecting":[137],"speech.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
