{"id":"https://openalex.org/W4317418973","doi":"https://doi.org/10.1109/gcce56475.2022.10014350","title":"Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media","display_name":"Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317418973","doi":"https://doi.org/10.1109/gcce56475.2022.10014350"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce56475.2022.10014350","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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/A5029576573","display_name":"Hayato Matsumoto","orcid":"https://orcid.org/0009-0002-2562-7806"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Matsumoto Hayato","raw_affiliation_strings":["Kansai University,Graduate School of Science and Engineering","Graduate School of Science and Engineering, Kansai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University,Graduate School of Science and Engineering","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Kansai University","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061967814","display_name":"Soh Yoshida","orcid":"https://orcid.org/0000-0003-0237-7461"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soh Yoshida","raw_affiliation_strings":["Kansai University,Graduate School of Science and Engineering","Graduate School of Science and Engineering, Kansai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University,Graduate School of Science and Engineering","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Kansai University","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089184180","display_name":"Mitsuji Muneyasu","orcid":"https://orcid.org/0000-0002-4492-5991"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuji Muneyasu","raw_affiliation_strings":["Kansai University,Graduate School of Science and Engineering","Graduate School of Science and Engineering, Kansai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University,Graduate School of Science and Engineering","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Graduate School of Science and Engineering, Kansai University","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3333,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90742774,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"410","last_page":"411"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962000250816345,"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":0.8069795370101929},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.765304446220398},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6412400603294373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.612226128578186},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.6092110872268677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.486930251121521},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46531394124031067},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45751211047172546},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4487687945365906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4455728828907013},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.419063001871109},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.2306807041168213},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23035284876823425},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13290905952453613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069795370101929},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.765304446220398},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6412400603294373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.612226128578186},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.6092110872268677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.486930251121521},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46531394124031067},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45751211047172546},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4487687945365906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4455728828907013},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.419063001871109},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2306807041168213},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23035284876823425},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13290905952453613},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/gcce56475.2022.10014350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce56475.2022.10014350","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338246","display_name":"ACT-X","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2790166049","https://openalex.org/W2907492528","https://openalex.org/W2972317931","https://openalex.org/W3031781733","https://openalex.org/W3163083951","https://openalex.org/W6767288045"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2890339288","https://openalex.org/W2966672946","https://openalex.org/W3205414356","https://openalex.org/W3137554057","https://openalex.org/W3015693164","https://openalex.org/W2942388309","https://openalex.org/W2996237090","https://openalex.org/W2047881532","https://openalex.org/W2285795935"],"abstract_inverted_index":{"The":[0],"spread":[1],"of":[2,61,76,118],"fake":[3,18],"news":[4,19,52],"on":[5,48,54,124],"social":[6,28,55,105],"media":[7],"has":[8],"become":[9],"a":[10,65,97,110,125],"global":[11],"problem":[12],"that":[13,22,51,99],"is":[14,64,73],"attracting":[15],"attention":[16],"to":[17,35,82,103],"detection":[20,30,72,107],"methods":[21,31,63,108],"use":[23],"machine":[24],"learning":[25],"models.":[26],"Recently,":[27],"context-based":[29,106],"have":[32],"been":[33],"developed":[34],"learn":[36],"users\u2019":[37],"endogenous":[38],"preferences":[39],"from":[40,129],"propagation":[41],"patterns":[42],"using":[43],"graph":[44],"neural":[45],"networks,":[46],"focusing":[47],"the":[49,58,69,77,87,116,119],"way":[50],"spreads":[53],"media.":[56],"However,":[57],"computational":[59],"process":[60],"these":[62],"black":[66],"box,":[67],"and":[68,89],"evidence":[70],"for":[71,85],"unknown.":[74],"Explanations":[75],"rationale":[78],"are":[79],"very":[80],"important":[81],"provide":[83],"insight":[84],"understanding":[86],"model":[88],"obtaining":[90],"trust.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95],"propose":[96],"framework":[98],"can":[100],"add":[101],"explainability":[102],"existing":[104],"in":[109],"flexible":[111],"manner.":[112],"We":[113],"quantitatively":[114],"evaluated":[115],"effectiveness":[117],"proposed":[120],"explanations":[121],"through":[122],"experiments":[123],"real-world":[126],"dataset":[127],"extracted":[128],"Twitter.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}