{"id":"https://openalex.org/W4393902395","doi":"https://doi.org/10.1093/llc/fqae016","title":"Finding common features in multilingual fake news: a quantitative clustering approach","display_name":"Finding common features in multilingual fake news: a quantitative clustering approach","publication_year":2024,"publication_date":"2024-04-03","ids":{"openalex":"https://openalex.org/W4393902395","doi":"https://doi.org/10.1093/llc/fqae016"},"language":"en","primary_location":{"id":"doi:10.1093/llc/fqae016","is_oa":false,"landing_page_url":"https://doi.org/10.1093/llc/fqae016","pdf_url":null,"source":{"id":"https://openalex.org/S2734814886","display_name":"Digital Scholarship in the Humanities","issn_l":"2055-7671","issn":["2055-7671","2055-768X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Scholarship in the Humanities","raw_type":"journal-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/A5101848260","display_name":"Wei Yuan","orcid":"https://orcid.org/0009-0004-2498-9447"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Yuan","raw_affiliation_strings":["School of International Relations, National University of Defense Technology , Nanjing, 210039, China"],"affiliations":[{"raw_affiliation_string":"School of International Relations, National University of Defense Technology , Nanjing, 210039, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413180","display_name":"Haitao Liu","orcid":"https://orcid.org/0000-0003-1724-4418"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]},{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Liu","raw_affiliation_strings":["Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies , Guangzhou, 510420, China","Department of Linguistics, Zhejiang University , Hangzhou, 310058, China","Institute of Quantitative Linguistics, Beijing Language and Culture University , Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies , Guangzhou, 510420, China","institution_ids":["https://openalex.org/I186272606"]},{"raw_affiliation_string":"Department of Linguistics, Zhejiang University , Hangzhou, 310058, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Institute of Quantitative Linguistics, Beijing Language and Culture University , Beijing, 100083, China","institution_ids":["https://openalex.org/I115212828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101848260"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2522,"currency":"GBP","value_usd":3093},"apc_paid":null,"fwci":2.3307,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88273396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"39","issue":"2","first_page":"790","last_page":"804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6440877914428711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.580048680305481},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.5443060994148254},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36695563793182373},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.348630428314209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3114140033721924},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.18626224994659424}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6440877914428711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.580048680305481},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.5443060994148254},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36695563793182373},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.348630428314209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3114140033721924},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.18626224994659424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/llc/fqae016","is_oa":false,"landing_page_url":"https://doi.org/10.1093/llc/fqae016","pdf_url":null,"source":{"id":"https://openalex.org/S2734814886","display_name":"Digital Scholarship in the Humanities","issn_l":"2055-7671","issn":["2055-7671","2055-768X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Digital Scholarship in the Humanities","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5645603446","display_name":null,"funder_award_id":"20AZD130","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G6784665442","display_name":null,"funder_award_id":"20&ZD140","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G8388656762","display_name":null,"funder_award_id":"19ZDA317","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G962164137","display_name":null,"funder_award_id":"18BYY235","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"}],"funders":[{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1514681859","https://openalex.org/W2035896792","https://openalex.org/W2040288513","https://openalex.org/W2158600149","https://openalex.org/W2338397756","https://openalex.org/W2582561810","https://openalex.org/W2742330194","https://openalex.org/W2768755876","https://openalex.org/W2790166049","https://openalex.org/W2790829410","https://openalex.org/W2908056578","https://openalex.org/W3020963228","https://openalex.org/W3022731820","https://openalex.org/W3034020579","https://openalex.org/W4211009335","https://openalex.org/W4226016355","https://openalex.org/W4253928666","https://openalex.org/W4284973576","https://openalex.org/W4294636810","https://openalex.org/W6669113257"],"related_works":["https://openalex.org/W2890339288","https://openalex.org/W2966672946","https://openalex.org/W3137554057","https://openalex.org/W3205414356","https://openalex.org/W3015693164","https://openalex.org/W2942388309","https://openalex.org/W2996237090","https://openalex.org/W3137972732","https://openalex.org/W3166592327","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Abstract":[0],"Since":[1],"the":[2,29,54,65,108],"Internet":[3],"is":[4,130],"a":[5,99,117],"breeding":[6],"ground":[7],"for":[8,152],"unconfirmed":[9],"fake":[10,34,59,125,128,153],"news,":[11],"its":[12],"automatic":[13,104],"detection":[14,155],"and":[15,28,46,50,69,85,122,134,157],"clustering":[16,87,106],"studies":[17,23],"have":[18],"become":[19],"crucial.":[20],"Most":[21],"current":[22],"focus":[24],"on":[25,52],"English":[26],"texts,":[27],"common":[30,55,94],"features":[31,57,73,95,109,151],"of":[32,58],"multilingual":[33],"news":[35,60,129,143,154],"are":[36,74],"not":[37],"sufficiently":[38],"studied.":[39],"Therefore,":[40],"this":[41],"article":[42],"uses":[43,135],"English,":[44],"Russian,":[45],"Chinese":[47],"as":[48],"examples":[49],"focuses":[51],"identifying":[53],"quantitative":[56],"in":[61,77,102,111,124,139],"different":[62],"languages":[63],"at":[64],"word,":[66],"sentence,":[67],"readability,":[68],"sentiment":[70],"levels.":[71],"These":[72],"then":[75],"utilized":[76],"principal":[78],"component":[79],"analysis,":[80],"K-means":[81],"clustering,":[82,84],"hierarchical":[83],"two-step":[86],"experiments,":[88],"which":[89],"achieved":[90],"satisfactory":[91],"results.":[92],"The":[93],"we":[96,115],"proposed":[97,110],"play":[98],"greater":[100],"role":[101],"achieving":[103],"cross-lingual":[105],"than":[107],"previous":[112],"studies.":[113],"Simultaneously,":[114],"discovered":[116],"trend":[118],"toward":[119],"linguistic":[120,162],"simplification":[121],"economy":[123],"news.":[126],"Furthermore,":[127],"easier":[131],"to":[132],"understand":[133],"negative":[136],"emotional":[137],"expressions":[138],"ways":[140],"that":[141],"real":[142],"does":[144],"not.":[145],"Our":[146],"research":[147,159],"provides":[148],"new":[149],"reference":[150],"tasks":[156],"facilitates":[158],"into":[160],"their":[161],"characteristics.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}