{"id":"https://openalex.org/W4399601562","doi":"https://doi.org/10.1109/tbdata.2024.3414341","title":"SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection","display_name":"SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399601562","doi":"https://doi.org/10.1109/tbdata.2024.3414341"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3414341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3414341","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5073306577","display_name":"Pengfei Du","orcid":"https://orcid.org/0000-0003-4611-7928"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengfei Du","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075909729","display_name":"Yali Gao","orcid":"https://orcid.org/0000-0003-0458-8481"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Gao","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101967550","display_name":"Linghui Li","orcid":"https://orcid.org/0000-0002-7614-3142"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linghui Li","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673949","display_name":"Xiaoyong Li","orcid":"https://orcid.org/0000-0001-5597-9306"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Li","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073306577"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":6.6562,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96284085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"2","first_page":"540","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9848999977111816,"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/computer-science","display_name":"Computer science","score":0.8073481321334839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4953662157058716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4293363690376282},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4237006604671478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8073481321334839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4953662157058716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4293363690376282},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4237006604671478},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3414341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3414341","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1440229653","display_name":null,"funder_award_id":"2023RC82","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5884991085","display_name":null,"funder_award_id":"62102040","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2295598076","https://openalex.org/W2593408211","https://openalex.org/W2766462585","https://openalex.org/W2896457183","https://openalex.org/W2897039802","https://openalex.org/W2948947170","https://openalex.org/W2950858167","https://openalex.org/W2963150162","https://openalex.org/W2979826702","https://openalex.org/W2994071599","https://openalex.org/W2998702515","https://openalex.org/W3000155280","https://openalex.org/W3020963228","https://openalex.org/W3035231859","https://openalex.org/W3037025384","https://openalex.org/W3098106685","https://openalex.org/W3120575766","https://openalex.org/W3137820162","https://openalex.org/W3158799502","https://openalex.org/W3174887454","https://openalex.org/W3176372653","https://openalex.org/W3212436340","https://openalex.org/W4200498145","https://openalex.org/W4283030109","https://openalex.org/W4290875300","https://openalex.org/W4385245566","https://openalex.org/W6636510571","https://openalex.org/W6719736774","https://openalex.org/W6768021236","https://openalex.org/W6792206879","https://openalex.org/W6799403000","https://openalex.org/W6801560098"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0,51],"the":[1,19,41,73,95,132,174],"field":[2],"of":[3,21,43,75,134,138,180],"fake":[4,76,153],"news":[5,77,154],"detection,":[6],"deep":[7],"learning":[8],"techniques":[9,177],"have":[10,124,148],"emerged":[11],"as":[12],"superior":[13],"performers":[14],"in":[15,110,171,178],"recent":[16],"years.":[17],"Nevertheless,":[18],"majority":[20],"these":[22],"studies":[23],"primarily":[24],"concentrate":[25],"on":[26,40,114,160],"either":[27],"unimodal":[28],"feature-based":[29],"methodologies":[30],"or":[31],"image-text":[32],"multimodal":[33,82,151],"fusion":[34,42,83],"techniques,":[35],"with":[36,80],"a":[37,57,108,150],"minimal":[38],"focus":[39],"unstructured":[44],"text":[45,67,111,135],"features":[46,68,71],"and":[47,69,90,141,182],"structured":[48],"tabular":[49],"features.":[50,98,122],"this":[52,161],"study,":[53],"we":[54,147],"present":[55],"SGAMF,":[56],"Sparse":[58],"Gated":[59],"Attention-based":[60],"Multimodal":[61],"Fusion":[62],"strategy,":[63],"designed":[64],"to":[65,173],"amalgamate":[66],"auxiliary":[70,115],"for":[72,131],"purpose":[74],"identification.":[78],"Compared":[79],"traditional":[81],"methods,":[84],"SGAMF":[85,167],"can":[86],"effectively":[87],"balance":[88],"accuracy":[89,181],"inference":[91],"time":[92],"while":[93],"selecting":[94],"most":[96],"important":[97],"A":[99],"novel":[100],"sparse-gated-attention":[101],"mechanism":[102],"has":[103],"been":[104],"proposed":[105,166],"which":[106],"instigates":[107],"shift":[109],"representation":[112],"conditioned":[113],"features,":[116,136],"thereby":[117],"selectively":[118],"filtering":[119],"out":[120],"non-essential":[121],"We":[123],"further":[125],"put":[126],"forward":[127],"an":[128],"enhanced":[129],"ALBERT":[130],"encoding":[133],"capable":[137],"balancing":[139],"efficiency":[140],"accuracy.":[142],"To":[143],"corroborate":[144],"our":[145,165],"methodology,":[146],"developed":[149],"COVID-19":[152],"detection":[155],"dataset.":[156],"Comprehensive":[157],"experimental":[158],"outcomes":[159],"dataset":[162],"substantiate":[163],"that":[164],"delivers":[168],"competitive":[169],"performance":[170],"comparison":[172],"existing":[175],"state-of-the-art":[176],"terms":[179],"<inline-formula><tex-math":[183],"notation=\"LaTeX\">$F_{1}$</tex-math></inline-formula>":[184],"score.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
