{"id":"https://openalex.org/W4387757671","doi":"https://doi.org/10.1109/tbdata.2023.3325746","title":"A Federated Convolution Transformer for Fake News Detection","display_name":"A Federated Convolution Transformer for Fake News Detection","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387757671","doi":"https://doi.org/10.1109/tbdata.2023.3325746"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2023.3325746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3325746","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/A5093976543","display_name":"Youcef Djenouri","orcid":"https://orcid.org/0000-0001-5140-1224"},"institutions":[{"id":"https://openalex.org/I2801380234","display_name":"University of South-Eastern Norway","ror":"https://ror.org/05ecg5h20","country_code":"NO","type":"education","lineage":["https://openalex.org/I2801380234"]},{"id":"https://openalex.org/I4210107808","display_name":"NORCE Research AS","ror":"https://ror.org/02gagpf75","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210107808"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Youcef Djenouri","raw_affiliation_strings":["University of South-Eastern Norway, Kongsberg, Norway","Norwegian Research Centre, Oslo, Norway","IDEAS NCBR, Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-5140-1224","affiliations":[{"raw_affiliation_string":"University of South-Eastern Norway, Kongsberg, Norway","institution_ids":["https://openalex.org/I2801380234"]},{"raw_affiliation_string":"Norwegian Research Centre, Oslo, Norway","institution_ids":["https://openalex.org/I4210107808"]},{"raw_affiliation_string":"IDEAS NCBR, Warsaw, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067978949","display_name":"Ahmed Nabil Belbachir","orcid":"https://orcid.org/0000-0001-9233-3723"},"institutions":[{"id":"https://openalex.org/I4210107808","display_name":"NORCE Research AS","ror":"https://ror.org/02gagpf75","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210107808"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Ahmed Nabil Belbachir","raw_affiliation_strings":["Norwegian Research Centre, Grimstad, Norway"],"raw_orcid":"https://orcid.org/0000-0001-9233-3723","affiliations":[{"raw_affiliation_string":"Norwegian Research Centre, Grimstad, Norway","institution_ids":["https://openalex.org/I4210107808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025396810","display_name":"Tomasz Michalak","orcid":"https://orcid.org/0000-0002-5288-0324"},"institutions":[{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Michalak","raw_affiliation_strings":["University of Warsaw, Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-5288-0324","affiliations":[{"raw_affiliation_string":"University of Warsaw, Warsaw, Poland","institution_ids":["https://openalex.org/I4654613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]},{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["CA","LB","TW"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Department of Math and Computer Science, Brandon University, Brandon, MB, Canada","Research Centre for Interneural Computing, China Medical University, Taichung, Taiwan","Dept. of Computer Science and Math, Lebanese American University, Beirut, Lebanon"],"raw_orcid":"https://orcid.org/0000-0001-9851-4103","affiliations":[{"raw_affiliation_string":"Department of Math and Computer Science, Brandon University, Brandon, MB, Canada","institution_ids":["https://openalex.org/I48890080"]},{"raw_affiliation_string":"Research Centre for Interneural Computing, China Medical University, Taichung, Taiwan","institution_ids":["https://openalex.org/I184693016"]},{"raw_affiliation_string":"Dept. of Computer Science and Math, Lebanese American University, Beirut, Lebanon","institution_ids":["https://openalex.org/I56306041"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9534,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9199888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":"3","first_page":"214","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.9040879011154175},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7218577265739441},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6520222425460815},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5022780895233154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4456694722175598},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4128310978412628},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26834332942962646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2111377716064453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20033928751945496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9040879011154175},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7218577265739441},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6520222425460815},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5022780895233154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4456694722175598},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4128310978412628},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26834332942962646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2111377716064453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20033928751945496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2023.3325746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3325746","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":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2295785353","https://openalex.org/W2899676218","https://openalex.org/W2912305564","https://openalex.org/W2962946486","https://openalex.org/W2964199361","https://openalex.org/W3016560828","https://openalex.org/W3080295236","https://openalex.org/W3081942662","https://openalex.org/W3093181844","https://openalex.org/W3095859802","https://openalex.org/W3096005429","https://openalex.org/W3119467012","https://openalex.org/W3123459983","https://openalex.org/W3126813721","https://openalex.org/W3137797402","https://openalex.org/W3155045906","https://openalex.org/W3185106195","https://openalex.org/W3186163009","https://openalex.org/W3210458411","https://openalex.org/W4206503836","https://openalex.org/W4206626673","https://openalex.org/W4212778779","https://openalex.org/W4214845801","https://openalex.org/W4224316507","https://openalex.org/W4225512856","https://openalex.org/W4226213199","https://openalex.org/W4285405183","https://openalex.org/W4289108963","https://openalex.org/W4293586385","https://openalex.org/W4293723031","https://openalex.org/W4295934935","https://openalex.org/W4300167516","https://openalex.org/W4308497888","https://openalex.org/W4310784811","https://openalex.org/W4311361241","https://openalex.org/W4312059599","https://openalex.org/W4312159352","https://openalex.org/W4312433629","https://openalex.org/W4313590780","https://openalex.org/W4319300717","https://openalex.org/W4319303120","https://openalex.org/W4320913149","https://openalex.org/W4321792464","https://openalex.org/W4323059284","https://openalex.org/W4323543120","https://openalex.org/W4362475844","https://openalex.org/W4365451524","https://openalex.org/W4379116850","https://openalex.org/W4379882795","https://openalex.org/W4381598461","https://openalex.org/W4385454542"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2081900870","https://openalex.org/W2777914285","https://openalex.org/W4378677776","https://openalex.org/W3013363440","https://openalex.org/W4287823391","https://openalex.org/W2037549926","https://openalex.org/W4312762663","https://openalex.org/W2345479200","https://openalex.org/W2183306018"],"abstract_inverted_index":{"We":[0,68,104],"present":[1],"a":[2,71,97,130,143],"novel":[3],"approach":[4],"to":[5,57,65,122,128,153,193],"detecting":[6],"fake":[7,45,165],"news":[8,46],"in":[9,44,111,191],"Internet":[10],"of":[11,27,88,109,113,146,189],"Things":[12],"(IoT)":[13],"applications.":[14],"By":[15,167],"investigating":[16,34],"federated":[17,115],"learning":[18,116],"and":[19,37,53,96],"trusted":[20,98],"authority":[21,99],"methods,":[22],"we":[23,40,49,174],"address":[24],"the":[25,54,85,89,93,125,154,159,177],"issue":[26],"data":[28],"security":[29],"during":[30],"training.":[31],"Simultaneously,":[32],"by":[33],"convolution":[35],"transformers":[36],"user":[38,76],"clustering,":[39],"deal":[41],"with":[42,92],"multi-modality":[43],"data.":[47,80],"Firstly,":[48],"use":[50,105],"dense":[51],"embedding":[52],"k-means":[55],"algorithm":[56],"cluster":[58],"users":[59,90],"into":[60,142],"groups":[61],"that":[62,176,195],"are":[63,151],"similar":[64],"one":[66],"another.":[67],"then":[69,83,157],"develop":[70],"local":[72,79,86,144],"model":[73,141,145,162],"for":[74,163],"each":[75,139],"using":[77,171],"their":[78,101],"The":[81,118,134],"server":[82],"receives":[84],"models":[87,127,150],"along":[91],"clustering":[94],"information,":[95],"verifies":[100],"integrity":[102],"there.":[103],"two":[106],"different":[107],"types":[108],"aggregation":[110],"place":[112],"conventional":[114],"systems.":[117],"initial":[119],"step":[120,136],"is":[121],"combine":[123],"all":[124],"users'":[126],"create":[129],"single":[131],"global":[132],"model.":[133],"second":[135],"entails":[137],"compiling":[138],"user's":[140],"comparable":[147],"users.":[148],"Both":[149],"supplied":[152],"users,":[155],"who":[156],"select":[158],"most":[160],"suitable":[161],"identifying":[164],"news.":[166],"conducting":[168],"extensive":[169],"experiments":[170],"Twitter":[172],"data,":[173],"demonstrate":[175],"proposed":[178],"method":[179],"outperforms":[180],"various":[181],"baselines,":[182],"where":[183],"it":[184],"achieves":[185],"an":[186],"average":[187],"accuracy":[188],"0.85":[190],"comparison":[192],"others":[194],"do":[196],"not":[197],"exceed":[198],"0.81.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}