{"id":"https://openalex.org/W7126422327","doi":"https://doi.org/10.18653/v1/2024.case-1.11","title":"JRC at ClimateActivism 2024: Lexicon-based Detection of Hate Speech","display_name":"JRC at ClimateActivism 2024: Lexicon-based Detection of Hate Speech","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126422327","doi":"https://doi.org/10.18653/v1/2024.case-1.11"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.case-1.11","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.11","pdf_url":"https://aclanthology.org/2024.case-1.11.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":"Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.case-1.11.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014266613","display_name":"Hristo Tanev","orcid":null},"institutions":[{"id":"https://openalex.org/I2800387288","display_name":"European Commission","ror":"https://ror.org/00k4n6c32","country_code":"BE","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Hristo Tanev","raw_affiliation_strings":["European Commission , Joint Research Centre , via Enrico Fermi 2749 , Ispra 21020 , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Commission , Joint Research Centre , via Enrico Fermi 2749 , Ispra 21020 , Italy","institution_ids":["https://openalex.org/I2800387288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014266613"],"corresponding_institution_ids":["https://openalex.org/I2800387288"],"apc_list":null,"apc_paid":null,"fwci":0.3252,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62874183,"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":"85","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9688000082969666,"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":0.9688000082969666,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.00559999980032444,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.0024999999441206455,"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/noise","display_name":"Noise (video)","score":0.25600001215934753},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.21140000224113464},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.20409999787807465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41019999980926514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2847000062465668},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25600001215934753},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24879999458789825},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24609999358654022},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.22849999368190765},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.21140000224113464},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.20409999787807465},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20389999449253082}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.case-1.11","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.11","pdf_url":"https://aclanthology.org/2024.case-1.11.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":"Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.case-1.11","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.case-1.11","pdf_url":"https://aclanthology.org/2024.case-1.11.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":"Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7675601243972778,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126422327.pdf","grobid_xml":"https://content.openalex.org/works/W7126422327.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"describe":[4],"the":[5,8,12,19,34,76],"participation":[6],"of":[7,55,60,75],"JRC":[9],"team":[10],"in":[11,18,27],"Sub-task":[13],"A:":[14],"\"Hate":[15],"Speech":[16],"Detection\"":[17],"Shared":[20],"task":[21],"Stance":[22],"and":[23,44],"Hate":[24],"Event":[25],"Detection":[26],"Tweets":[28],"Related":[29],"to":[30],"Climate":[31],"Activism":[32],"at":[33],"CASE":[35],"2024":[36],"workshop.Our":[37],"system":[38,51,71],"is":[39],"purely":[40],"lexicon":[41],"(keyword)":[42],"based":[43,68],"does":[45],"not":[46],"use":[47],"any":[48],"statistical":[49],"classifier.The":[50],"ranked":[52],"18":[53],"out":[54],"22":[56],"participants":[57],"with":[58],"F1":[59],"0.83,":[61],"only":[62],"one":[63,74],"point":[64],"below":[65],"a":[66],"system,":[67],"on":[69],"LLM.Our":[70],"also":[72],"obtained":[73],"highest":[77],"achieved":[78],"precision":[79],"scores":[80],"among":[81],"all":[82],"participating":[83],"algorithms.":[84]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-02-02T00:00:00"}
