{"id":"https://openalex.org/W4396843601","doi":"https://doi.org/10.1145/3589335.3652502","title":"Deep Learning for Hate Speech Detection: A Personality-based Approach","display_name":"Deep Learning for Hate Speech Detection: A Personality-based Approach","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843601","doi":"https://doi.org/10.1145/3589335.3652502"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3652502","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3652502","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3652502","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3652502","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044030732","display_name":"Kyuhan Lee","orcid":"https://orcid.org/0000-0002-1029-161X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyuhan Lee","raw_affiliation_strings":["Information Systems Korea University Business School Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Information Systems Korea University Business School Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044250210","display_name":"Sudha Ram","orcid":"https://orcid.org/0000-0001-6053-1311"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudha Ram","raw_affiliation_strings":["Management Information Systems University of Arizona Tucson, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Management Information Systems University of Arizona Tucson, Arizona, USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044030732"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73781274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1667","last_page":"1671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":1.0,"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":1.0,"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":0.688208818435669},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5208500027656555},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.5203335285186768},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49939608573913574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4487709105014801},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41255903244018555},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24664553999900818},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11757737398147583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688208818435669},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5208500027656555},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.5203335285186768},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49939608573913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4487709105014801},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41255903244018555},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24664553999900818},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11757737398147583}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3652502","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3652502","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3652502","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3652502","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3652502","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3652502","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843601.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2119592058","https://openalex.org/W2149886468","https://openalex.org/W2164944700","https://openalex.org/W2612690371","https://openalex.org/W2613977835","https://openalex.org/W2796881724","https://openalex.org/W3029245643","https://openalex.org/W3125162565","https://openalex.org/W4311537406","https://openalex.org/W6739901393","https://openalex.org/W6754527574"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"A":[0],"crucial":[1],"element":[2],"in":[3,42,45,67,105,117,190],"the":[4,10,29,35,83,134,158,168],"combat":[5],"against":[6],"hate":[7,18,46,59,98,122,140,172,193],"speech":[8,47,60,99,123,173],"is":[9,103],"development":[11],"of":[12,31,85,170],"efficient":[13],"algorithms":[14],"for":[15,57,80,97,131,160],"automatically":[16],"detecting":[17,58],"speech.":[19,194],"Previous":[20],"research,":[21],"however,":[22],"has":[23,72],"primarily":[24],"neglected":[25,116],"important":[26],"insights":[27],"from":[28,88],"field":[30],"psychology":[32],"literature,":[33,119],"particularly":[34],"relationship":[36,136],"between":[37,137],"personality":[38,64,86,110,138,143,165],"and":[39,90,125,139,185],"hate,":[40],"resulting":[41],"suboptimal":[43],"performance":[44],"detection.":[48,100,174],"To":[49],"this":[50],"end,":[51],"we":[52],"propose":[53],"a":[54,76,92],"novel":[55,127],"framework":[56,71],"focusing":[61],"on":[62],"people's":[63],"factors":[65],"reflected":[66],"their":[68],"writing.":[69],"Our":[70,101,155],"two":[73],"components:":[74],"(i)":[75],"knowledge":[77],"distillation":[78],"model":[79,96,150],"fully":[81,132],"automating":[82],"process":[84],"inference":[87],"text":[89],"(ii)":[91],"personality-based":[93],"deep":[94,128],"learning":[95,129],"approach":[102],"unique":[104],"that":[106,148],"it":[107,177],"incorporates":[108],"low-level":[109],"factors,":[111],"which":[112],"have":[113],"been":[114],"largely":[115],"prior":[118],"into":[120,167],"automated":[121,171],"detection":[124],"proposes":[126],"components":[130],"exploiting":[133],"intricate":[135],"(i.e.,":[141],"intermediate":[142],"factors).":[144],"The":[145],"evaluation":[146],"shows":[147],"our":[149],"significantly":[151],"outperforms":[152],"state-of-the-art":[153],"baselines.":[154],"study":[156],"paves":[157],"way":[159],"future":[161],"research":[162],"by":[163],"incorporating":[164],"aspects":[166],"design":[169],"In":[175],"addition,":[176],"offers":[178],"substantial":[179],"assistance":[180],"to":[181],"online":[182],"social":[183],"platforms":[184],"governmental":[186],"authorities":[187],"facing":[188],"challenges":[189],"effectively":[191],"moderating":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
