{"id":"https://openalex.org/W4390547902","doi":"https://doi.org/10.1145/3639408","title":"Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection","display_name":"Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4390547902","doi":"https://doi.org/10.1145/3639408"},"language":"en","primary_location":{"id":"doi:10.1145/3639408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639408","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639408","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639408","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073893996","display_name":"Guixian Zhang","orcid":"https://orcid.org/0000-0002-7632-8411"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guixian Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Engineering Research Center of Mine Digitalization, Artificial Intelligence Research Institute, China University of Mining and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7632-8411","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Engineering Research Center of Mine Digitalization, Artificial Intelligence Research Institute, China University of Mining and Technology, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764178","display_name":"Shichao Zhang","orcid":"https://orcid.org/0000-0001-9981-2970"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Zhang","raw_affiliation_strings":["Guangxi Key Lab of Multisource Information Mining & Security, College of Computer Science & Engineering, Guangxi Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-9981-2970","affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Multisource Information Mining & Security, College of Computer Science & Engineering, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038687122","display_name":"Guan Yuan","orcid":"https://orcid.org/0000-0003-3148-9817"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Engineering Research Center of Mine Digitalization, Artificial Intelligence Research Institute, China University of Mining and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3148-9817","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Engineering Research Center of Mine Digitalization, Artificial Intelligence Research Institute, China University of Mining and Technology, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073893996"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":40.8983,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99847027,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"18","issue":"4","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.8350921869277954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7068328857421875},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6451705694198608},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6162378191947937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48537957668304443},{"id":"https://openalex.org/keywords/geolocation","display_name":"Geolocation","score":0.4636097848415375},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4519035220146179},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4317638874053955},{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.4233984351158142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36569714546203613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33016952872276306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24231800436973572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17048248648643494},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08628678321838379}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8350921869277954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068328857421875},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6451705694198608},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6162378191947937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48537957668304443},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.4636097848415375},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4519035220146179},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4317638874053955},{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.4233984351158142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36569714546203613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33016952872276306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24231800436973572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17048248648643494},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08628678321838379},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639408","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639408","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3639408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639408","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639408","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G5103861003","display_name":null,"funder_award_id":"71774159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G572461109","display_name":null,"funder_award_id":"2021T140707","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7853147401","display_name":null,"funder_award_id":"61836016","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390547902.pdf","grobid_xml":"https://content.openalex.org/works/W4390547902.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1538021842","https://openalex.org/W1546111015","https://openalex.org/W1638051351","https://openalex.org/W1975594555","https://openalex.org/W2000042664","https://openalex.org/W2020754036","https://openalex.org/W2050619059","https://openalex.org/W2084591134","https://openalex.org/W2108677974","https://openalex.org/W2109553965","https://openalex.org/W2137194788","https://openalex.org/W2153267836","https://openalex.org/W2153959628","https://openalex.org/W2163179583","https://openalex.org/W2194775991","https://openalex.org/W2263846226","https://openalex.org/W2269924745","https://openalex.org/W2419501139","https://openalex.org/W2424495361","https://openalex.org/W2517194566","https://openalex.org/W2581789519","https://openalex.org/W2601530027","https://openalex.org/W2602856279","https://openalex.org/W2604314403","https://openalex.org/W2606418518","https://openalex.org/W2608239929","https://openalex.org/W2742330194","https://openalex.org/W2889398682","https://openalex.org/W2897757923","https://openalex.org/W2900936184","https://openalex.org/W2912269676","https://openalex.org/W2912974153","https://openalex.org/W2913649461","https://openalex.org/W2945822178","https://openalex.org/W2964234547","https://openalex.org/W2965373594","https://openalex.org/W2997128522","https://openalex.org/W3004200020","https://openalex.org/W3011186656","https://openalex.org/W3015622078","https://openalex.org/W3048692209","https://openalex.org/W3083982479","https://openalex.org/W3095746859","https://openalex.org/W3097775121","https://openalex.org/W3103409210","https://openalex.org/W3114632476","https://openalex.org/W3120907553","https://openalex.org/W3124364749","https://openalex.org/W3154503084","https://openalex.org/W3154992183","https://openalex.org/W3155131971","https://openalex.org/W3172133997","https://openalex.org/W3175498457","https://openalex.org/W3176405886","https://openalex.org/W3177349790","https://openalex.org/W3183859557","https://openalex.org/W4205141213","https://openalex.org/W4213147383","https://openalex.org/W4214884149","https://openalex.org/W4226091956","https://openalex.org/W4226253343","https://openalex.org/W4311415873","https://openalex.org/W4312373079","https://openalex.org/W4318812505"],"related_works":["https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W2588006872","https://openalex.org/W4385338594","https://openalex.org/W4200127153","https://openalex.org/W3175275009","https://openalex.org/W3119171992","https://openalex.org/W2011190096","https://openalex.org/W2036947108","https://openalex.org/W1971924293"],"abstract_inverted_index":{"It":[0],"has":[1,16,153],"become":[2],"a":[3,92,174],"cardinal":[4],"task":[5],"to":[6,58,107],"identify":[7],"fake":[8],"information":[9],"(misinformation)":[10],"on":[11,110,157],"social":[12,103],"media,":[13],"because":[14],"it":[15,164],"significantly":[17,136],"harmed":[18],"the":[19,22,63,75,79,89,101,118,132,138],"government":[20],"and":[21,72,78,83,129,161],"public.":[23],"There":[24],"are":[25,86],"many":[26],"spam":[27],"bots":[28],"maliciously":[29],"retweeting":[30],"misinformation.":[31,148],"This":[32],"study":[33],"proposes":[34],"an":[35],"efficient":[36],"model":[37,120],"for":[38,96],"detecting":[39,147],"misinformation":[40],"with":[41,100,124],"self-supervised":[42],"contrastive":[43],"learning.":[44],"A":[45],"B":[46],"ayesian":[47],"graph":[48,64,114,159],"L":[49],"ocal":[50],"extrema":[51],"C":[52],"onvolution":[53],"(BLC)":[54],"is":[55,105,121],"first":[56],"proposed":[57,119,133],"aggregate":[59],"node":[60],"features":[61],"in":[62,74,88,113,144],"structure.":[65],"The":[66,149],"BLC":[67,152],"approach":[68],"considers":[69],"unreliable":[70],"relationships":[71],"uncertainties":[73],"propagation":[76],"structure,":[77],"differences":[80],"between":[81],"nodes":[82,85,112],"neighboring":[84],"emphasized":[87],"attributes.":[90],"Then,":[91],"new":[93],"long-tail":[94,98,134],"strategy":[95,135],"matching":[97],"users":[99],"global":[102],"network":[104],"advocated":[106],"avoid":[108],"over-concentration":[109],"high-degree":[111],"neural":[115],"networks.":[116],"Finally,":[117],"experimentally":[122],"evaluated":[123],"two":[125],"public":[126],"Twitter":[127],"datasets":[128,160],"demonstrates":[130,162],"that":[131,163],"improves":[137],"effectiveness":[139],"of":[140,146,151,173],"existing":[141],"graph-based":[142],"methods":[143],"terms":[145],"robustness":[150],"also":[154],"been":[155],"examined":[156],"three":[158],"consistently":[165],"outperforms":[166],"traditional":[167],"algorithms":[168],"when":[169],"perturbed":[170],"by":[171],"15%":[172],"dataset.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}