{"id":"https://openalex.org/W1999194276","doi":"https://doi.org/10.1109/isi.2012.6284099","title":"Partially supervised learning for radical opinion identification in hate group web forums","display_name":"Partially supervised learning for radical opinion identification in hate group web forums","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1999194276","doi":"https://doi.org/10.1109/isi.2012.6284099","mag":"1999194276"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2012.6284099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2012.6284099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Intelligence and Security Informatics","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/A5100721448","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0002-0020-8683"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Department Management Science and Engineering, Harbin Institute of Technology, Harbin, China","Dept. Management Science and Engineering, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Department Management Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Dept. Management Science and Engineering, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109924510","display_name":"Hsinchun Chen","orcid":null},"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":"Hsinchun Chen","raw_affiliation_strings":["Artificial Intelligent Laboratory, University of Arizona Tucson, Tucson, USA","Artificial Intelligent Laboratory, University of Arizona, Tucson, USA"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligent Laboratory, University of Arizona Tucson, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Artificial Intelligent Laboratory, University of Arizona, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100721448"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.8563,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78119484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11644","display_name":"Spam and Phishing Detection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7091200351715088},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7043702602386475},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6540577411651611},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6274827718734741},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.45698028802871704},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4111173450946808},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40120843052864075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29769760370254517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0988512635231018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091200351715088},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7043702602386475},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6540577411651611},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6274827718734741},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.45698028802871704},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4111173450946808},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40120843052864075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29769760370254517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0988512635231018},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2012.6284099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2012.6284099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Intelligence and Security Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320337390","display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems","ror":"https://ror.org/0471zv972"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W47086209","https://openalex.org/W1525123548","https://openalex.org/W1539818275","https://openalex.org/W1971609128","https://openalex.org/W2005624335","https://openalex.org/W2009312480","https://openalex.org/W2043976122","https://openalex.org/W2072099238","https://openalex.org/W2108693588","https://openalex.org/W2135756832","https://openalex.org/W2136504847","https://openalex.org/W2138789038","https://openalex.org/W2145695178","https://openalex.org/W2146807976","https://openalex.org/W2150102617","https://openalex.org/W2153149612","https://openalex.org/W2158295279","https://openalex.org/W2158295392","https://openalex.org/W2164109595","https://openalex.org/W3151491250","https://openalex.org/W4231779508","https://openalex.org/W4238183243","https://openalex.org/W6681875376"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Web":[0,47,95,121,150],"forums":[1,151],"are":[2],"frequently":[3],"used":[4],"as":[5,14,16,31],"platforms":[6],"for":[7,79],"the":[8,26,112,159],"exchange":[9],"of":[10,69,91],"information":[11,27],"and":[12,44,54,61,74,102,135,162],"opinions,":[13,33],"well":[15],"propaganda":[17],"dissemination.":[18],"But":[19],"online":[20],"content":[21,51,71,76,93],"can":[22],"be":[23],"misused":[24],"when":[25],"being":[28],"distributed,":[29],"such":[30],"radical":[32,39,70,115],"is":[34,41,52,59,85],"unsolicited":[35],"or":[36],"inappropriate.":[37],"However,":[38],"opinion":[40,116],"highly":[42],"hidden":[43],"distributed":[45],"in":[46,94,114,118],"forums,":[48],"while":[49],"non-radical":[50,75],"unspecific":[53],"topically":[55],"more":[56,164],"diverse.":[57],"It":[58],"costly":[60],"time":[62],"consuming":[63],"to":[64,87,110,129],"label":[65],"a":[66,104,126],"large":[67,89,147],"amount":[68],"(positive":[72],"examples)":[73,78],"(negative":[77],"training":[80],"classification":[81],"systems.":[82],"Nevertheless,":[83],"it":[84],"easy":[86],"obtain":[88],"volumes":[90],"unlabeled":[92,139],"forums.":[96,122],"In":[97],"this":[98],"paper,":[99],"we":[100,124],"propose":[101],"develop":[103],"topic-sensitive":[105],"partially":[106],"supervised":[107],"learning":[108],"approach":[109,156],"address":[111],"difficulties":[113],"identification":[117],"hate":[119,148],"group":[120,149],"Specifically,":[123],"design":[125],"labeling":[127],"heuristic":[128],"extract":[130],"high":[131],"quality":[132],"positive":[133],"examples":[134,137],"negative":[136],"from":[138,145],"datasets.":[140],"The":[141],"empirical":[142],"evaluation":[143],"results":[144],"two":[146],"suggest":[152],"that":[153],"our":[154],"proposed":[155],"generally":[157],"outperforms":[158],"benchmark":[160],"techniques":[161],"exhibits":[163],"stable":[165],"performance":[166],"than":[167],"its":[168],"counterparts.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
