{"id":"https://openalex.org/W4309374292","doi":"https://doi.org/10.1109/smc53654.2022.9945303","title":"Using ALBERT and Multi-modal Circulant Fusion for Fake News Detection","display_name":"Using ALBERT and Multi-modal Circulant Fusion for Fake News Detection","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309374292","doi":"https://doi.org/10.1109/smc53654.2022.9945303"},"language":"en","primary_location":{"id":"doi:10.1109/smc53654.2022.9945303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945303","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026151620","display_name":"Xingang Wang","orcid":"https://orcid.org/0000-0002-6851-0109"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Wang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422232","display_name":"Xiaomin Li","orcid":"https://orcid.org/0000-0002-7098-4071"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Li","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455531","display_name":"Xiaoyu Liu","orcid":"https://orcid.org/0009-0005-6402-3855"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Liu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067126494","display_name":"Honglu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglu Cheng","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2936","last_page":"2942"},"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":0.982200026512146,"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/T10028","display_name":"Topic Modeling","score":0.9771000146865845,"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/modal","display_name":"Modal","score":0.7934163808822632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7533251047134399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6003963351249695},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5419321060180664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49151167273521423},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4452454447746277},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4251781702041626},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4122639298439026},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3780078589916229},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35105252265930176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10052517056465149}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7934163808822632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533251047134399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003963351249695},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5419321060180664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49151167273521423},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4452454447746277},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4251781702041626},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4122639298439026},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3780078589916229},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35105252265930176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10052517056465149},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53654.2022.9945303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945303","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2041614930","https://openalex.org/W2084591134","https://openalex.org/W2097117768","https://openalex.org/W2124637344","https://openalex.org/W2194775991","https://openalex.org/W2296241532","https://openalex.org/W2531862055","https://openalex.org/W2577888896","https://openalex.org/W2609512471","https://openalex.org/W2612179682","https://openalex.org/W2741930413","https://openalex.org/W2763572884","https://openalex.org/W2766462585","https://openalex.org/W2808647806","https://openalex.org/W2809476703","https://openalex.org/W2896457183","https://openalex.org/W2912305564","https://openalex.org/W2982137384","https://openalex.org/W2996428491","https://openalex.org/W3012090365","https://openalex.org/W3089691460","https://openalex.org/W3153567752","https://openalex.org/W3157731560","https://openalex.org/W3159686626","https://openalex.org/W3185106195","https://openalex.org/W3195314408","https://openalex.org/W3206237685","https://openalex.org/W4205579485","https://openalex.org/W6678444979","https://openalex.org/W6697226171","https://openalex.org/W6755207826","https://openalex.org/W6768021236","https://openalex.org/W6775245906"],"related_works":["https://openalex.org/W1979583797","https://openalex.org/W3082848404","https://openalex.org/W2953302367","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W2114169842","https://openalex.org/W2535808783","https://openalex.org/W3183408266","https://openalex.org/W2971551846","https://openalex.org/W1941834444"],"abstract_inverted_index":{"Fake":[0],"news":[1,28,129,147,273],"that":[2,258],"combines":[3],"text":[4,65,166,179],"and":[5,20,53,82,87,101,123,149,168,181,205],"images":[6],"has":[7,30,50],"a":[8,32,54,77,137,141,145,150,160,169,188],"better":[9],"story-telling":[10],"ability":[11],"than":[12],"text-only":[13],"fake":[14,27,128,146,219,272],"news,":[15,86],"making":[16],"it":[17],"more":[18,51,265],"deceptive":[19],"easier":[21],"to":[22,94,108,113,164,173,217,229],"spread":[23],"maliciously.":[24],"Therefore,":[25],"multi-modal":[26,70,90,99,138,142,155,189,210,263],"detection":[29,110,148,242],"become":[31],"new":[33],"hot":[34],"topic.":[35],"There":[36],"are":[37,92,185,212],"two":[38,252],"main":[39,135],"challenges":[40],"in":[41,68,203],"this":[42],"task.":[43],"First,":[44],"the":[45,61,69,72,88,96,115,154,178,182,196,209,215,224,269],"traditional":[46],"pre-training":[47],"model":[48,163,172,260],"BERT":[49],"parameters":[52,204],"relatively":[55],"slow":[56],"training":[57],"speed,":[58],"which":[59,194],"limits":[60],"level":[62],"of":[63,80,85,133,223,243,271],"extracted":[64],"features.":[66,176],"Second,":[67],"form,":[71],"fusion":[73,197],"process":[74],"is":[75,227],"only":[76],"simple":[78],"splicing":[79],"visual":[81,175,183],"textual":[83],"features":[84,91,167,180,184,211,232,236],"obtained":[89],"insufficient":[93],"express":[95],"complementarity":[97],"between":[98,237],"data":[100,264],"may":[102],"have":[103,247],"redundant":[104],"information,":[105],"potentially":[106],"leading":[107],"biased":[109],"results.In":[111],"order":[112],"solve":[114],"above":[116],"issues,":[117],"we":[118],"propose":[119],"ALB-MCF,":[120],"using":[121],"ALBERT":[122,162],"Multi-modal":[124],"Circulant":[125],"Fusion(MCF)":[126],"for":[127],"detection.":[130,274],"ALB-MCF":[131],"consists":[132],"four":[134],"modules:":[136],"feature":[139,143,156,190],"extractor,":[140],"fusion,":[144],"domain":[151,225],"classifier.":[152],"Specifically,":[153],"extractor":[157],"innovatively":[158],"uses":[159],"pre-trained":[161,170],"extract":[165,174],"VGG19":[171],"Then,":[177],"fused":[186],"into":[187,214],"representation":[191],"by":[192],"MCF,":[193],"improves":[195],"capability":[198],"while":[199,233],"avoiding":[200],"an":[201],"increase":[202],"computational":[206],"cost.":[207],"Finally,":[208],"fed":[213],"detector":[216],"detect":[218],"news.":[220],"The":[221,255],"role":[222],"classifier":[226],"mainly":[228],"remove":[230],"event-specific":[231],"retaining":[234],"shared":[235],"events,":[238],"thus":[239,267],"providing":[240],"effective":[241],"emerging":[244],"events.":[245],"We":[246],"conducted":[248],"extensive":[249],"experiments":[250],"on":[251],"real-world":[253],"datasets.":[254],"results":[256],"demonstrated":[257],"our":[259],"can":[261],"handle":[262],"effectively,":[266],"improving":[268],"accuracy":[270]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
