{"id":"https://openalex.org/W3175547999","doi":"https://doi.org/10.1145/3462741.3466676","title":"Recognizing Hate-prone Characteristics of Online Hate Speech Targets","display_name":"Recognizing Hate-prone Characteristics of Online Hate Speech Targets","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3175547999","doi":"https://doi.org/10.1145/3462741.3466676","mag":"3175547999"},"language":"en","primary_location":{"id":"doi:10.1145/3462741.3466676","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3462741.3466676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"},"type":"article","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/A5053742061","display_name":"Raneem Alharthi","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Raneem Alharthi","raw_affiliation_strings":["Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053742061"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53163915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940999746322632,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/context","display_name":"Context (archaeology)","score":0.6459606885910034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6414300203323364},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.569729208946228},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5693373680114746},{"id":"https://openalex.org/keywords/online-discussion","display_name":"Online discussion","score":0.4683759808540344},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3351359963417053},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23069050908088684}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6459606885910034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6414300203323364},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.569729208946228},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5693373680114746},{"id":"https://openalex.org/C2780656832","wikidata":"https://www.wikidata.org/wiki/Q796573","display_name":"Online discussion","level":2,"score":0.4683759808540344},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3351359963417053},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23069050908088684},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3462741.3466676","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3462741.3466676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2616679324","https://openalex.org/W2796881724","https://openalex.org/W2797630160","https://openalex.org/W4307858169"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4312622923","https://openalex.org/W1977056376","https://openalex.org/W2728430307","https://openalex.org/W1990545028","https://openalex.org/W2107786128","https://openalex.org/W2735469505","https://openalex.org/W2048368023","https://openalex.org/W2484264353","https://openalex.org/W4237944947"],"abstract_inverted_index":{"Recognizing":[0],"the":[1,22,29,36,80,122,130,134,142,149,160],"characteristics":[2,27,101,125,139],"of":[3,24,31,45,65,79,110],"online":[4,25,51,66,81,105,136,143,155],"hate":[5,26,37,67,82,99,106,123,137,144,156],"speech":[6],"targets":[7,17,23],"can":[8,13,42],"provide":[9],"important":[10,70],"information,":[11],"which":[12,53,108],"help":[14],"predict":[15],"potential":[16,161],"and":[18,76,121,147],"protect":[19],"them.":[20],"Understanding":[21],"in":[28,72,89,165],"context":[30],"social":[32],"media":[33],"platforms":[34],"where":[35],"is":[38],"dramatically":[39],"increasing":[40],"lately":[41],"improve":[43],"awareness":[44],"how":[46],"different":[47,61],"people":[48],"react":[49],"to":[50,132,140,162],"hate,":[52],"we":[54,96],"anticipate":[55],"will":[56],"be":[57,163],"manifested":[58],"differently":[59],"for":[60,104],"demographic":[62],"groups.":[63],"Targets":[64],"play":[68],"an":[69,74],"role":[71],"providing":[73],"extensive":[75],"informative":[77],"explanation":[78],"event.":[83],"This":[84,154],"has":[85,129,159],"been":[86],"barely":[87],"studied":[88],"previous":[90],"research.":[91],"In":[92],"this":[93],"PhD":[94],"research,":[95],"propose":[97],"a":[98],"prone":[100,124,138],"recognition":[102,126],"framework":[103],"targets,":[107],"consists":[109],"several":[111],"modules,":[112],"including":[113],"data":[114,116],"collection,":[115],"pre-processing,":[117],"feature":[118],"extraction,":[119],"contextualisation":[120],"model":[127,158],"that":[128],"ability":[131],"recognise":[133],"common":[135],"enhance":[141],"prevention":[145],"services,":[146],"finally,":[148],"hateful":[150],"replies":[151],"prediction":[152,157],"model.":[153],"personalised/adaptive":[164],"future":[166],"applications.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
