{"id":"https://openalex.org/W4291926487","doi":"https://doi.org/10.3390/info13080388","title":"A Rumor Detection Method Based on Adaptive Fusion of Statistical Features and Textual Features","display_name":"A Rumor Detection Method Based on Adaptive Fusion of Statistical Features and Textual Features","publication_year":2022,"publication_date":"2022-08-16","ids":{"openalex":"https://openalex.org/W4291926487","doi":"https://doi.org/10.3390/info13080388"},"language":"en","primary_location":{"id":"doi:10.3390/info13080388","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13080388","pdf_url":"https://www.mdpi.com/2078-2489/13/8/388/pdf?version=1660629304","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/13/8/388/pdf?version=1660629304","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100658081","display_name":"Ziyan Zhang","orcid":"https://orcid.org/0000-0002-3782-1414"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyan Zhang","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073685640","display_name":"Zhiping Dan","orcid":"https://orcid.org/0000-0002-2616-5730"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiping Dan","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102108271","display_name":"Fangmin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangmin Dong","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042411881","display_name":"Zhun Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhun Gao","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040901365","display_name":"Yanke Zhang","orcid":"https://orcid.org/0000-0003-4788-8708"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanke Zhang","raw_affiliation_strings":["College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang 443002, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073685640"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.5849,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86883244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"13","issue":"8","first_page":"388","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9711999893188477,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9696000218391418,"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/computer-science","display_name":"Computer science","score":0.803559422492981},{"id":"https://openalex.org/keywords/rumor","display_name":"Rumor","score":0.7154018878936768},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6112269759178162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6056949496269226},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.508468747138977},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44629085063934326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4280270040035248},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.41370221972465515},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.410852313041687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4064227044582367},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36384841799736023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34846413135528564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22616532444953918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09479588270187378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803559422492981},{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.7154018878936768},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6112269759178162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6056949496269226},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.508468747138977},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44629085063934326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4280270040035248},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.41370221972465515},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.410852313041687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4064227044582367},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36384841799736023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34846413135528564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22616532444953918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09479588270187378},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info13080388","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13080388","pdf_url":"https://www.mdpi.com/2078-2489/13/8/388/pdf?version=1660629304","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f3083f9c130b407088f4d8a9396ed426","is_oa":true,"landing_page_url":"https://doaj.org/article/f3083f9c130b407088f4d8a9396ed426","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 13, Iss 8, p 388 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/13/8/388/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info13080388","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 13; Issue 8; Pages: 388","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info13080388","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13080388","pdf_url":"https://www.mdpi.com/2078-2489/13/8/388/pdf?version=1660629304","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2241200393","display_name":null,"funder_award_id":"U1703261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334063","display_name":"National Natural Science Foundation of China-Xinjiang Joint Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4291926487.pdf","grobid_xml":"https://content.openalex.org/works/W4291926487.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1638051351","https://openalex.org/W2032897813","https://openalex.org/W2142869398","https://openalex.org/W2577888896","https://openalex.org/W2609512471","https://openalex.org/W2741930413","https://openalex.org/W2742144412","https://openalex.org/W2752195587","https://openalex.org/W2766462585","https://openalex.org/W2788235048","https://openalex.org/W2798787718","https://openalex.org/W2810047920","https://openalex.org/W2912078280","https://openalex.org/W2912305564","https://openalex.org/W3103872969","https://openalex.org/W3115830738","https://openalex.org/W3174820758","https://openalex.org/W3198319827","https://openalex.org/W4206218388","https://openalex.org/W4210683997","https://openalex.org/W6671933157","https://openalex.org/W6948207360"],"related_works":["https://openalex.org/W2372853429","https://openalex.org/W2793319716","https://openalex.org/W3110636174","https://openalex.org/W4210503589","https://openalex.org/W2908713064","https://openalex.org/W2810386322","https://openalex.org/W2801267666","https://openalex.org/W2188429085","https://openalex.org/W4389515667","https://openalex.org/W4289760503"],"abstract_inverted_index":{"Many":[0],"rumors":[1,13],"spread":[2],"quickly":[3],"and":[4,32,40,53,67,90,112,127,182,187,190,197],"widely":[5],"on":[6,81],"social":[7,10],"media,":[8],"affecting":[9],"stability.":[11],"The":[12,171],"of":[14,45,85,154,168,173,209],"most":[15],"current":[16],"detection":[17,38],"methods":[18],"only":[19,69,142],"use":[20,167],"textual":[21,73,91,116,148,155],"information":[22,27,31,103],"or":[23],"introduce":[24],"external":[25,57],"auxiliary":[26,58],"(such":[28],"as":[29,115],"user":[30],"propagation":[33],"information)":[34],"to":[35,93,141,151],"enhance":[36],"the":[37,41,46,56,82,152,160,165,174,191,202,207],"effect,":[39],"inherent":[42],"statistical":[43,62,102,145,169],"features":[44,63,89,92,97,111,114,117,146,149],"corpus":[47],"have":[48],"not":[49],"been":[50],"fully":[51],"used":[52],"compared":[54],"with":[55,147],"features;":[59],"in":[60,176],"addition,":[61,134],"are":[64],"more":[65],"certain":[66],"can":[68,158,204],"be":[70],"obtained":[71],"from":[72],"information.":[74],"Therefore,":[75],"we":[76,135],"adopted":[77],"a":[78,105,119,123,128],"method":[79],"based":[80],"adaptive":[83,139],"fusion":[84],"word":[86],"frequency":[87],"distribution":[88],"detect":[94],"rumors.":[95],"Statistical":[96],"were":[98],"extracted":[99,109],"by":[100,164],"encoding":[101],"through":[104,118],"variational":[106],"autoencoder.":[107],"We":[108],"semantic":[110],"sequence":[113],"parallel":[120],"network":[121,126],"comprising":[122],"convolutional":[124],"neural":[125],"bidirectional":[129],"long-term":[130],"memory":[131],"network.":[132],"In":[133],"also":[136],"designed":[137],"an":[138],"valve":[140],"fuse":[143],"useful":[144],"according":[150],"credibility":[153],"features,":[156],"which":[157],"solve":[159],"over-fitting":[161],"problem":[162],"caused":[163],"excessive":[166],"features.":[170],"accuracy":[172],"model":[175,203],"three":[177],"public":[178],"datasets":[179],"(Twitter15,":[180],"Twitter16,":[181],"Weibo)":[183],"reached":[184,194],"87.5%,":[185],"88.6%,":[186],"95.8%,":[188,198],"respectively,":[189,199],"F1":[192],"value":[193],"87.4%,":[195],"88.5%,":[196],"showing":[200],"that":[201],"effectively":[205],"improve":[206],"performance":[208],"rumor":[210],"detection.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
