{"id":"https://openalex.org/W4408311242","doi":"https://doi.org/10.1142/s0218001425520056","title":"JFD-GNN: A Joint Graph Neural Network Approach for Detecting Fake News","display_name":"JFD-GNN: A Joint Graph Neural Network Approach for Detecting Fake News","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408311242","doi":"https://doi.org/10.1142/s0218001425520056"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425520056","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425520056","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5072041767","display_name":"Soufiane Khedairia","orcid":"https://orcid.org/0000-0002-4285-179X"},"institutions":[{"id":"https://openalex.org/I1288970718","display_name":"Mohamed-Cherif Messaadia University","ror":"https://ror.org/04pn9tn44","country_code":"DZ","type":"education","lineage":["https://openalex.org/I1288970718"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Soufiane Khedairia","raw_affiliation_strings":["LiM Laboratory, Department of Computer Science, Faculty of Science and Technology, University of Souk Ahras, 41000, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-4285-179X","affiliations":[{"raw_affiliation_string":"LiM Laboratory, Department of Computer Science, Faculty of Science and Technology, University of Souk Ahras, 41000, Algeria","institution_ids":["https://openalex.org/I1288970718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064615228","display_name":"Hafed Zarzour","orcid":"https://orcid.org/0000-0001-9441-4842"},"institutions":[{"id":"https://openalex.org/I1288970718","display_name":"Mohamed-Cherif Messaadia University","ror":"https://ror.org/04pn9tn44","country_code":"DZ","type":"education","lineage":["https://openalex.org/I1288970718"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hafed Zarzour","raw_affiliation_strings":["LiM Laboratory, Department of Computer Science, Faculty of Science and Technology, University of Souk Ahras, 41000, Algeria"],"raw_orcid":"https://orcid.org/0000-0001-9441-4842","affiliations":[{"raw_affiliation_string":"LiM Laboratory, Department of Computer Science, Faculty of Science and Technology, University of Souk Ahras, 41000, Algeria","institution_ids":["https://openalex.org/I1288970718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084433229","display_name":"Djalel Chefrour","orcid":"https://orcid.org/0000-0001-7931-2354"},"institutions":[{"id":"https://openalex.org/I1288970718","display_name":"Mohamed-Cherif Messaadia University","ror":"https://ror.org/04pn9tn44","country_code":"DZ","type":"education","lineage":["https://openalex.org/I1288970718"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Djalel Chefrour","raw_affiliation_strings":["LiM Laboratory, Department of Computer Science, Faculty of Science and Technology, University of Souk Ahras, 41000, Algeria"],"raw_orcid":"https://orcid.org/0000-0001-7931-2354","affiliations":[{"raw_affiliation_string":"LiM Laboratory, Department of Computer Science, Faculty of Science and Technology, University of Souk Ahras, 41000, Algeria","institution_ids":["https://openalex.org/I1288970718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072041767"],"corresponding_institution_ids":["https://openalex.org/I1288970718"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05276745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"07","first_page":null,"last_page":null},"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":0.9761000275611877,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9678000211715698,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091525197029114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6464545130729675},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5785146951675415},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5481864809989929},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48628103733062744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43389853835105896},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14989924430847168},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0638745129108429}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091525197029114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6464545130729675},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5785146951675415},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5481864809989929},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48628103733062744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43389853835105896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14989924430847168},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0638745129108429},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425520056","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425520056","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1975594555","https://openalex.org/W2051405935","https://openalex.org/W2064675550","https://openalex.org/W2516338333","https://openalex.org/W2610676001","https://openalex.org/W2759820691","https://openalex.org/W2788235048","https://openalex.org/W2907492528","https://openalex.org/W2912642460","https://openalex.org/W2913649461","https://openalex.org/W2979826702","https://openalex.org/W2997128522","https://openalex.org/W3000155280","https://openalex.org/W3007083472","https://openalex.org/W3029523587","https://openalex.org/W3035943656","https://openalex.org/W3106237638","https://openalex.org/W3109142382","https://openalex.org/W3137447380","https://openalex.org/W3152893301","https://openalex.org/W3153567752","https://openalex.org/W3159740384","https://openalex.org/W3164541670","https://openalex.org/W3208159610","https://openalex.org/W4285401901","https://openalex.org/W4285736194","https://openalex.org/W4294884679","https://openalex.org/W4308497888","https://openalex.org/W4360602683","https://openalex.org/W4368340926","https://openalex.org/W4379878704","https://openalex.org/W4388673040","https://openalex.org/W4388899945","https://openalex.org/W4390489111","https://openalex.org/W4390872155","https://openalex.org/W4391710887","https://openalex.org/W4391745163","https://openalex.org/W4391816773","https://openalex.org/W4392028776","https://openalex.org/W4392094631","https://openalex.org/W4392345267","https://openalex.org/W4392380533","https://openalex.org/W4393143824","https://openalex.org/W4393158655","https://openalex.org/W4393256667","https://openalex.org/W4394904558"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W2367747139","https://openalex.org/W4391102217","https://openalex.org/W2566187525","https://openalex.org/W2566334511","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Fake":[0,45],"news":[1,30,178],"is":[2,150],"often":[3],"designed":[4,57],"to":[5,34,58,99,157],"closely":[6],"mimic":[7],"legitimate":[8],"news,":[9,207],"making":[10],"its":[11,36],"detection":[12],"based":[13,70],"on":[14,71,111,173,189,195],"content":[15],"analysis":[16],"alone":[17],"unreliable.":[18],"Hence,":[19],"we":[20,41],"propose":[21,42],"a":[22,43,101,124,153,213],"deeper":[23],"exploration":[24],"of":[25,53,84,104,118,143,202],"the":[26,81,85,141,144,147,159,167,200,209],"correlation":[27],"between":[28],"fake":[29,177,206],"and":[31,64,79,115,134,162,181,192,208],"user":[32,60,77,105,112,121,128],"profiles":[33],"understand":[35],"widespread.":[37],"For":[38],"this":[39],"purpose,":[40],"Joint":[44],"News":[46],"Detection":[47],"framework,":[48],"called":[49],"JFD-GNN,":[50],"which":[51],"consists":[52],"two":[54,174],"distinct":[55],"models":[56],"integrate":[59],"profiles,":[61],"internal":[62],"preferences,":[63],"external":[65],"context.":[66],"The":[67,107],"first":[68],"model,":[69,146],"Graph":[72],"Neural":[73],"Networks":[74],"(GNN),":[75],"incorporates":[76],"preferences":[78],"leverages":[80],"tweet":[82],"history":[83],"post\u2019s":[86],"publisher":[87],"as":[88,96,120,136],"endogenous":[89],"features.":[90],"Additionally,":[91],"it":[92,165],"utilizes":[93],"propagation":[94],"graphs":[95],"exogenous":[97],"features":[98],"derive":[100],"joint":[102,145],"representation":[103],"engagement.":[106],"second":[108],"model":[109,126],"focuses":[110],"profile":[113,129],"details":[114],"textual":[116],"embeddings":[117],"comments":[119],"features,":[122],"constructing":[123],"GNN-based":[125],"for":[127,204],"analysis.":[130],"We":[131,169],"use":[132],"BERT":[133],"Word2Vec":[135],"data":[137],"encoders.":[138],"To":[139],"enhance":[140],"performance":[142],"fused":[148],"output":[149,161],"passed":[151],"through":[152],"fully":[154],"connected":[155],"layer":[156],"compute":[158],"final":[160],"then":[163],"compare":[164],"with":[166],"target.":[168],"conducted":[170],"several":[171],"experiments":[172],"publicly":[175],"available":[176],"datasets,":[179],"Politifact":[180,196],"Gossipcop,":[182],"where":[183],"our":[184],"approach":[185],"achieved":[186],"97.99%":[187],"accuracy":[188,194],"Gossipcop":[190],"dataset":[191],"95.16%":[193],"dataset.":[197],"This":[198],"illustrates":[199],"effectiveness":[201],"JFD-GNN":[203],"identifying":[205],"proposed":[210],"method":[211],"reaches":[212],"comparatively":[214],"high":[215],"level":[216],"by":[217],"combining":[218],"various":[219],"information":[220],"levels":[221],"from":[222],"different":[223],"modalities.":[224]},"counts_by_year":[],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
