{"id":"https://openalex.org/W4412170821","doi":"https://doi.org/10.1109/tnse.2025.3586247","title":"Two-Stage Knowledge Distillation Network With Multi-Teacher Self-Training for Semi-Supervised Multi-Modal Fake News Detection","display_name":"Two-Stage Knowledge Distillation Network With Multi-Teacher Self-Training for Semi-Supervised Multi-Modal Fake News Detection","publication_year":2025,"publication_date":"2025-07-10","ids":{"openalex":"https://openalex.org/W4412170821","doi":"https://doi.org/10.1109/tnse.2025.3586247"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3586247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3586247","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","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/A5039792198","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0001-5498-4947"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Wu","raw_affiliation_strings":["College of Automation &amp; College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation &amp; College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319279","display_name":"Xiaofan Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Yue","raw_affiliation_strings":["College of Automation &amp; College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation &amp; College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053206926","display_name":"Yimu Ji","orcid":"https://orcid.org/0000-0001-7019-3942"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimu Ji","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029691902","display_name":"Xiao\u2010Yuan Jing","orcid":"https://orcid.org/0000-0002-0392-8475"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Yuan Jing","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, School of Computer, Guangdong University of Petrochemical Technology, Maoming, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis, School of Computer, Guangdong University of Petrochemical Technology, Maoming, China","institution_ids":["https://openalex.org/I4210128140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005382201","display_name":"Guo\u2010Ping Jiang","orcid":"https://orcid.org/0000-0001-9448-0989"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Ping Jiang","raw_affiliation_strings":["College of Automation &amp; College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation &amp; College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039792198"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":8.8715,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97278139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"639","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.996999979019165,"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":0.996999979019165,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9803000092506409,"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"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9538000226020813,"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":0.6815814971923828},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6651917695999146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650488376617432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460677981376648},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5551763772964478},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5106351971626282},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.47176650166511536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37248361110687256}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6815814971923828},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6651917695999146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650488376617432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460677981376648},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5551763772964478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5106351971626282},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.47176650166511536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37248361110687256},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3586247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3586247","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8569679628","display_name":null,"funder_award_id":"2023YFB2904000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2522375107","https://openalex.org/W2737907513","https://openalex.org/W2742330194","https://openalex.org/W2766462585","https://openalex.org/W2790072370","https://openalex.org/W2809476703","https://openalex.org/W2883797404","https://openalex.org/W2896457183","https://openalex.org/W2925285378","https://openalex.org/W2952926846","https://openalex.org/W2984353870","https://openalex.org/W2994071599","https://openalex.org/W2997546679","https://openalex.org/W3034368386","https://openalex.org/W3036178765","https://openalex.org/W3080524877","https://openalex.org/W3089691460","https://openalex.org/W3093863666","https://openalex.org/W3111397073","https://openalex.org/W3152994406","https://openalex.org/W3156558703","https://openalex.org/W3166931231","https://openalex.org/W3176969075","https://openalex.org/W4221159530","https://openalex.org/W4224324956","https://openalex.org/W4229004535","https://openalex.org/W4281898186","https://openalex.org/W4308497888","https://openalex.org/W4368340926","https://openalex.org/W4372349532","https://openalex.org/W4378377690","https://openalex.org/W4382318241","https://openalex.org/W4384819716","https://openalex.org/W4385443992","https://openalex.org/W4385571026","https://openalex.org/W4385764327","https://openalex.org/W4387682030","https://openalex.org/W4388090747","https://openalex.org/W4388348903","https://openalex.org/W4388458669","https://openalex.org/W4389160627","https://openalex.org/W4390421839","https://openalex.org/W4390849973","https://openalex.org/W4391925691","https://openalex.org/W4392908959","https://openalex.org/W4393147144","https://openalex.org/W4393174501","https://openalex.org/W4394597871","https://openalex.org/W4396758724","https://openalex.org/W4399423024","https://openalex.org/W4400927874"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W2329386257","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611"],"abstract_inverted_index":{"Acquiring":[0],"news":[1,23,33,57,63,77,87,242],"on":[2,24,237],"social":[3,25,31],"media":[4],"has":[5],"become":[6],"the":[7,20,28,46,60,69,75,98,155,180,188,198,210,213,219,223,231],"main":[8],"way":[9],"for":[10,51,118],"people":[11],"to":[12,18,68,170,179,197,229],"stay":[13],"informed,":[14],"making":[15],"it":[16],"crucial":[17],"verify":[19],"credibility":[21],"of":[22,30,37,48,56,62,121,212,233],"media.":[26],"With":[27],"diversification":[29],"media,":[32],"is":[34],"often":[35],"composed":[36],"multi-modal":[38,85,173],"data.":[39,105],"Additionally,":[40],"in":[41,103],"practical":[42],"applications,":[43],"we":[44,145,217],"face":[45],"challenge":[47],"owning":[49],"labels":[50],"only":[52],"a":[53,108,122,130,136],"small":[54],"set":[55],"data,":[58],"with":[59,113,154,226],"majority":[61],"data":[64],"remaining":[65],"unlabeled":[66,104],"due":[67],"substantial":[70],"labeling":[71],"cost.":[72],"We":[73,106],"define":[74],"fake":[76,86,241],"detection":[78,88],"problem":[79],"under":[80],"this":[81],"scenario":[82],"as":[83],"semi-supervised":[84],"(SMFND).":[89],"However,":[90],"current":[91],"SMFND":[92],"methods":[93],"do":[94],"not":[95],"fully":[96],"explore":[97],"semantic":[99,123,174],"and":[100,124,135,150,175,208],"structural":[101,125],"information":[102],"propose":[107],"two-stage":[109],"knowledge":[110,126,178,185],"distillation":[111,127],"network":[112,157],"multi-teacher":[114,202],"self-training":[115,137],"(TKDN)":[116],"method":[117,248],"SMFND,":[119],"consisting":[120],"(SSKD)":[128],"module,":[129,134],"joint":[131],"supervision":[132],"(JS)":[133],"based":[138],"teacher":[139,148,168,220,234],"model":[140,153,200,203,221],"updating":[141],"(STMU)":[142],"mechanism.":[143],"Firstly,":[144],"construct":[146],"two":[147],"models":[149,169],"one":[151],"student":[152,181,189,199,214],"same":[156],"structure":[158,177],"but":[159],"different":[160],"initialization":[161],"parameters.":[162],"The":[163,191],"SSKD":[164],"module":[165,193],"leverages":[166],"multiple":[167],"transfer":[171],"both":[172],"adjacency":[176],"model,":[182],"effectively":[183],"enriching":[184],"learned":[186],"by":[187],"model.":[190,215,235],"JS":[192],"provides":[194],"high-quality":[195,227],"pseudo-labels":[196,228],"through":[201],"collaboration,":[204],"improving":[205],"identification":[206],"ability":[207],"accelerating":[209],"convergence":[211],"Finally,":[216],"pre-train":[218],"using":[222],"STMU":[224],"mechanism":[225],"enhance":[230],"reliability":[232],"Experiments":[236],"three":[238],"widely":[239],"used":[240],"datasets":[243],"have":[244],"shown":[245],"that":[246],"our":[247],"outperforms":[249],"state-of-the-art":[250],"related":[251],"works.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-23T05:10:03.516525","created_date":"2025-10-10T00:00:00"}
