{"id":"https://openalex.org/W4319778858","doi":"https://doi.org/10.1109/dsaa54385.2022.10032389","title":"minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices","display_name":"minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4319778858","doi":"https://doi.org/10.1109/dsaa54385.2022.10032389"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa54385.2022.10032389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032389","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.17984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067545356","display_name":"Animesh Chaturvedi","orcid":"https://orcid.org/0000-0002-9058-9052"},"institutions":[{"id":"https://openalex.org/I4210152718","display_name":"Indian Institute of Technology Dharwad","ror":"https://ror.org/0509djg30","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152718"]},{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"id":"https://openalex.org/I4387153068","display_name":"Indian Institute of Information Technology Dharwad","ror":"https://ror.org/0237jt454","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153068"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Animesh Chaturvedi","raw_affiliation_strings":["Indian Institute of Information Technology Dharwad,Dharwad,Karnataka,India","Indian Institute of Information Technology Dharwad, Dharwad, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Dharwad,Dharwad,Karnataka,India","institution_ids":["https://openalex.org/I4210152718","https://openalex.org/I26072440","https://openalex.org/I4387153068"]},{"raw_affiliation_string":"Indian Institute of Information Technology Dharwad, Dharwad, Karnataka, India","institution_ids":["https://openalex.org/I4210152718","https://openalex.org/I26072440","https://openalex.org/I4387153068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011512226","display_name":"Rajesh Sharma","orcid":"https://orcid.org/0000-0003-3581-1332"},"institutions":[{"id":"https://openalex.org/I56085075","display_name":"University of Tartu","ror":"https://ror.org/03z77qz90","country_code":"EE","type":"education","lineage":["https://openalex.org/I56085075"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Rajesh Sharma","raw_affiliation_strings":["University of Tartu,Tartu,Estonia","University of Tartu, Tartu, Estonia"],"affiliations":[{"raw_affiliation_string":"University of Tartu,Tartu,Estonia","institution_ids":["https://openalex.org/I56085075"]},{"raw_affiliation_string":"University of Tartu, Tartu, Estonia","institution_ids":["https://openalex.org/I56085075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067545356"],"corresponding_institution_ids":["https://openalex.org/I26072440","https://openalex.org/I4210152718","https://openalex.org/I4387153068"],"apc_list":null,"apc_paid":null,"fwci":0.9424,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77537499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9419999718666077,"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/T10557","display_name":"Social Media and Politics","score":0.921999990940094,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717631220817566},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6516566872596741},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6279298067092896},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5932862162590027},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5706547498703003},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5621138215065002},{"id":"https://openalex.org/keywords/agreement","display_name":"Agreement","score":0.43750616908073425},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32905372977256775},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3252471685409546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22746345400810242},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18211650848388672},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09853452444076538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717631220817566},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6516566872596741},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6279298067092896},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5932862162590027},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5706547498703003},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5621138215065002},{"id":"https://openalex.org/C2776818064","wikidata":"https://www.wikidata.org/wiki/Q829903","display_name":"Agreement","level":2,"score":0.43750616908073425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32905372977256775},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3252471685409546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22746345400810242},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18211650848388672},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09853452444076538},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsaa54385.2022.10032389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032389","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2305.17984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.17984","pdf_url":"https://arxiv.org/pdf/2305.17984","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.17984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.17984","pdf_url":"https://arxiv.org/pdf/2305.17984","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"},{"id":"https://openalex.org/F4320320285","display_name":"King's College London","ror":"https://ror.org/0220mzb33"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319778858.pdf","grobid_xml":"https://content.openalex.org/works/W4319778858.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1990142825","https://openalex.org/W2102297485","https://openalex.org/W2595653137","https://openalex.org/W2596413131","https://openalex.org/W2767245172","https://openalex.org/W2774215862","https://openalex.org/W2803765190","https://openalex.org/W2810302094","https://openalex.org/W2896457183","https://openalex.org/W2903822854","https://openalex.org/W2909310985","https://openalex.org/W2922580172","https://openalex.org/W2927326319","https://openalex.org/W2954633389","https://openalex.org/W2956090150","https://openalex.org/W2962977603","https://openalex.org/W2963532322","https://openalex.org/W2963854351","https://openalex.org/W2973159684","https://openalex.org/W3133980122","https://openalex.org/W3168261013","https://openalex.org/W3176580738","https://openalex.org/W4300337452","https://openalex.org/W4319586096","https://openalex.org/W6755207826","https://openalex.org/W6777831904"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W4236261679","https://openalex.org/W4233863677","https://openalex.org/W2387011115","https://openalex.org/W1965066623","https://openalex.org/W2807886783","https://openalex.org/W2501040892","https://openalex.org/W788508752","https://openalex.org/W1990501105","https://openalex.org/W4234808182"],"abstract_inverted_index":{"Hate":[0,24,29,63,80,184,209],"speech":[1,14,46,125,157],"classification":[2,73],"has":[3],"become":[4],"an":[5,69,111,119,167],"important":[6],"problem":[7],"due":[8],"to":[9,36,53,100,109,143,171,176,188,206,219],"the":[10,42,59,72,102,116,130,177,221],"spread":[11],"of":[12,23,74,104,118,134,192,223],"hate":[13,39,45,121,124,156,161],"on":[15],"social":[16],"media":[17],"platforms.":[18],"For":[19],"a":[20,78,137,145],"given":[21],"set":[22],"Terms":[25,64,81],"lists":[26],"(HTs-lists)":[27],"and":[28,56,98,159,211,215,225],"Speech":[30],"data":[31],"(HS-data),":[32],"it":[33],"is":[34],"challenging":[35],"understand":[37],"which":[38,114],"term":[40,122],"contributes":[41,50],"most":[43],"for":[44,71],"classification.":[47,126],"This":[48],"paper":[49],"two":[51],"approaches":[52],"quantitatively":[54],"measure":[55,101],"qualitatively":[57],"visualise":[58,220],"relationship":[60],"between":[61],"co-occurring":[62,204],"(HTs).":[65],"Firstly,":[66],"we":[67,92,128,153,180],"propose":[68],"approach":[70,165],"hate-speech":[75],"by":[76,228],"producing":[77],"Severe":[79,147],"list":[82],"(Severe":[83],"HTs-list)":[84],"from":[85,169],"existing":[86],"HTs-lists.":[87],"To":[88,149],"achieve":[89],"our":[90,151],"goal,":[91],"proposed":[93,138,182],"three":[94,155],"metrics":[95,107],"(Hatefulness,":[96],"Relativeness,":[97],"Offensiveness)":[99],"severity":[103],"HTs.":[105,229],"These":[106,213],"assist":[108],"create":[110],"Inter-agreement":[112],"HTs-list,":[113],"explains":[115],"contribution":[117],"individual":[120],"toward":[123],"Then,":[127],"used":[129,154,218],"Offensiveness":[131],"metric":[132],"values":[133],"HTs":[135,194,205],"above":[136],"threshold":[139],"minimum":[140,196],"Offense":[141],"(minOffense)":[142],"generate":[144],"new":[146],"HTs-list.":[148],"evaluate":[150],"approach,":[152],"datasets":[158],"six":[160],"terms":[162],"lists.":[163],"Our":[164],"shown":[166],"improvement":[168],"0.845":[170],"0.923":[172],"(best)":[173],"as":[174],"compared":[175],"baseline.":[178],"Secondly,":[179],"also":[181],"Stable":[183,208],"Rule":[185],"(SHR)":[186],"mining":[187,201],"provide":[189],"ordered":[190],"co-occurrence":[191],"various":[193],"with":[195],"Stability":[197],"(minStab).":[198],"The":[199],"SHR":[200],"detects":[202],"frequently":[203],"form":[207],"Rules":[210],"Concepts.":[212],"rules":[214],"concepts":[216],"are":[217],"graphs":[222],"Transitivities":[224],"Lattices":[226],"formed":[227]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}