{"id":"https://openalex.org/W4416250183","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229244","title":"Fake News Detection Based on Cross-Semantic Multimodal Data Fusion","display_name":"Fake News Detection Based on Cross-Semantic Multimodal Data Fusion","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250183","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229244"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5101848673","display_name":"Ruxin Wang","orcid":"https://orcid.org/0000-0002-2730-9409"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruxin Wang","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000879","display_name":"Ke Ji","orcid":"https://orcid.org/0000-0003-0761-6484"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Ji","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075642035","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0002-0832-2982"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039282629","display_name":"Kun Ma","orcid":"https://orcid.org/0000-0002-0135-5423"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Ma","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400414","display_name":"Chong Ma","orcid":"https://orcid.org/0000-0002-5068-8814"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Ma","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455132","display_name":"Xiaofan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Zhao","raw_affiliation_strings":["People&#x2019;s Public Security University of China,School of Information and Cyber Security,Beijing,China"],"affiliations":[{"raw_affiliation_string":"People&#x2019;s Public Security University of China,School of Information and Cyber Security,Beijing,China","institution_ids":["https://openalex.org/I37448385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101848673"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43589188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9833999872207642,"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":0.9833999872207642,"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":0.0024999999441206455,"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/T14347","display_name":"Big Data and Digital Economy","score":0.0015999999595806003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.635699987411499},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5203999876976013},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5199999809265137},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5131999850273132},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.48429998755455017},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.48240000009536743},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4740999937057495},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45669999718666077},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.3626999855041504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997999787330627},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.635699987411499},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5203999876976013},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51419997215271},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5131999850273132},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.48429998755455017},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4740999937057495},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3474999964237213},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3098999857902527},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2741930413","https://openalex.org/W2809476703","https://openalex.org/W2912305564","https://openalex.org/W2989424501","https://openalex.org/W3022924198","https://openalex.org/W3106237638","https://openalex.org/W3138516171","https://openalex.org/W3156558703","https://openalex.org/W3176713826","https://openalex.org/W3195314408","https://openalex.org/W3197618246","https://openalex.org/W4308497888","https://openalex.org/W4385571026","https://openalex.org/W4388524030","https://openalex.org/W4393160040","https://openalex.org/W4393170771","https://openalex.org/W4402671673"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,7,25,42,65,73,124,130,144],"rapid":[2],"development":[3],"of":[4,9,27,68,129],"social":[5],"networks,":[6],"proliferation":[8],"fake":[10,48,102,230],"news":[11,49,103,231],"has":[12],"become":[13],"a":[14,100,136,165,171,196],"pressing":[15],"global":[16,60,119,182],"issue.":[17],"Such":[18],"misleading":[19],"content":[20],"is":[21,177],"often":[22,63],"fabricated":[23],"through":[24],"integration":[26],"multimodal":[28,79,109,201,229],"data,":[29],"including":[30],"text":[31,125],"and":[32,41,126,161,183,211],"images,":[33],"leading":[34],"to":[35,84,117,142,179,199],"detrimental":[36],"effects":[37],"on":[38,170,218],"both":[39,123,181],"society":[40],"economy.":[43],"Despite":[44],"significant":[45],"advancements":[46],"in":[47,52,72,90],"detection":[50,74,104],"methods":[51,82],"recent":[53],"years,":[54],"most":[55],"existing":[56],"approaches":[57],"primarily":[58],"emphasize":[59],"semantic":[61,70,120,138,146,185],"features,":[62,80,186,207],"neglecting":[64],"critical":[66],"role":[67],"local":[69,137,145,184],"features":[71,121,147],"process.":[75],"Furthermore,":[76],"when":[77],"integrating":[78,205],"these":[81,96],"struggle":[83],"effectively":[85],"capture":[86,143],"intermodal":[87,209],"associations,":[88,210],"resulting":[89],"suboptimal":[91],"fusion":[92,167,203],"performance.":[93],"To":[94],"address":[95],"challenges,":[97],"we":[98,134,194],"propose":[99],"novel":[101],"model":[105],"(CSMDF)":[106],"for":[107,190],"cross-semantic":[108,188,206],"data":[110],"fusion.":[111],"Initially,":[112],"feature":[113,139,166,202],"encoders":[114],"are":[115],"utilized":[116],"extract":[118],"from":[122],"image":[127],"modalities":[128],"target":[131],"news.":[132],"Subsequently,":[133],"design":[135],"extraction":[140],"module":[141,168],"within":[148],"each":[149,191],"modality":[150],"by":[151,204],"utilizing":[152],"clustering":[153],"algorithms,":[154],"central":[155],"loss":[156],"functions,":[157],"fully":[158],"connected":[159],"layers,":[160],"other":[162],"methods.":[163],"Meanwhile,":[164],"based":[169],"bidirectional":[172],"gated":[173],"recurrent":[174],"unit":[175],"(BiGRU)":[176],"employed":[178],"integrate":[180],"generating":[187],"representations":[189],"modality.":[192],"Finally,":[193],"implement":[195],"Co-Attention":[197],"mechanism":[198],"facilitate":[200],"establishing":[208],"capturing":[212],"their":[213],"interactive":[214],"relationships.":[215],"Experimental":[216],"results":[217],"real":[219],"datasets":[220],"demonstrate":[221],"that":[222],"CSMDF":[223],"consistently":[224],"outperforms":[225],"state-of-the-art":[226],"methods,":[227],"enhancing":[228],"detection.":[232]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}
