{"id":"https://openalex.org/W4377709558","doi":"https://doi.org/10.1109/tnnls.2023.3274694","title":"Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees","display_name":"Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4377709558","doi":"https://doi.org/10.1109/tnnls.2023.3274694","pmid":"https://pubmed.ncbi.nlm.nih.gov/37220046"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3274694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3274694","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100784844","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0002-1037-1361"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1037-1361","affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101108226","display_name":"Yayi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayi Yang","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003673476","display_name":"Chongyang Shi","orcid":"https://orcid.org/0000-0003-4905-8994"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyang Shi","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4905-8994","affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003280609","display_name":"An Lao","orcid":"https://orcid.org/0000-0002-3837-7044"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Lao","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020981025","display_name":"Liang Hu","orcid":"https://orcid.org/0000-0001-7176-2078"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Hu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7176-2078","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082317196","display_name":"Shoujin Wang","orcid":"https://orcid.org/0000-0003-1133-9379"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shoujin Wang","raw_affiliation_strings":["Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1133-9379","affiliations":[{"raw_affiliation_string":"Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077006200","display_name":"Usman Naseem","orcid":"https://orcid.org/0000-0003-0191-7171"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Usman Naseem","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0191-7171","affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9067,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95815094,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"10","first_page":"14112","last_page":"14124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9977999925613403,"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":0.9977999925613403,"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/T10028","display_name":"Topic Modeling","score":0.9556000232696533,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9456999897956848,"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/computer-science","display_name":"Computer science","score":0.7658106088638306},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6912789940834045},{"id":"https://openalex.org/keywords/rumor","display_name":"Rumor","score":0.6799919009208679},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6160478591918945},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5205988883972168},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.5148312449455261},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.4748026430606842},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4684469997882843},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46223360300064087},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43501532077789307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4258451461791992},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.42070746421813965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39743930101394653},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.32925671339035034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3203061819076538},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.22700715065002441},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20463666319847107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13091108202934265},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.11569777131080627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658106088638306},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6912789940834045},{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.6799919009208679},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6160478591918945},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5205988883972168},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.5148312449455261},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.4748026430606842},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4684469997882843},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46223360300064087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43501532077789307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4258451461791992},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.42070746421813965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39743930101394653},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.32925671339035034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3203061819076538},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.22700715065002441},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20463666319847107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13091108202934265},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.11569777131080627},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3274694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3274694","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37220046","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37220046","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5521624060","display_name":null,"funder_award_id":"62276190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6444804331","display_name":null,"funder_award_id":"62102026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6695563415","display_name":null,"funder_award_id":"2022YFB3104700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1546111015","https://openalex.org/W1638051351","https://openalex.org/W1974674099","https://openalex.org/W1975594555","https://openalex.org/W2032897813","https://openalex.org/W2084591134","https://openalex.org/W2109448170","https://openalex.org/W2142869398","https://openalex.org/W2188594517","https://openalex.org/W2201399812","https://openalex.org/W2249925396","https://openalex.org/W2281420995","https://openalex.org/W2315054068","https://openalex.org/W2607700676","https://openalex.org/W2609512471","https://openalex.org/W2610676001","https://openalex.org/W2742144412","https://openalex.org/W2753727548","https://openalex.org/W2763572884","https://openalex.org/W2791544114","https://openalex.org/W2798787718","https://openalex.org/W2898258407","https://openalex.org/W2906971970","https://openalex.org/W2914116198","https://openalex.org/W2963704432","https://openalex.org/W2963952861","https://openalex.org/W2997128522","https://openalex.org/W2997976265","https://openalex.org/W3000155280","https://openalex.org/W3017402509","https://openalex.org/W3023903980","https://openalex.org/W3035658351","https://openalex.org/W3083982479","https://openalex.org/W3120358876","https://openalex.org/W3128266512","https://openalex.org/W3155609342","https://openalex.org/W3156420331","https://openalex.org/W3175836411","https://openalex.org/W3193978390","https://openalex.org/W3207512843","https://openalex.org/W3210631446","https://openalex.org/W4224313641","https://openalex.org/W4226344588","https://openalex.org/W4286579120","https://openalex.org/W4288079542","https://openalex.org/W4312439494","https://openalex.org/W4401336871","https://openalex.org/W6628124331","https://openalex.org/W6681435938","https://openalex.org/W6683602473","https://openalex.org/W6691459498","https://openalex.org/W6732431570"],"related_works":["https://openalex.org/W2014794499","https://openalex.org/W2353483694","https://openalex.org/W2001642679","https://openalex.org/W2807186976","https://openalex.org/W2015574730","https://openalex.org/W2402277566","https://openalex.org/W2383075031","https://openalex.org/W2376359377","https://openalex.org/W2361165494","https://openalex.org/W2010603648"],"abstract_inverted_index":{"The":[0],"rapid":[1],"growth":[2],"of":[3,28,50,62,67,115,212,227],"social":[4],"media":[5],"has":[6,77],"caused":[7],"tremendous":[8],"effects":[9],"on":[10,137,204],"information":[11],"propagation,":[12],"raising":[13],"extreme":[14],"challenges":[15],"in":[16,93,113,214],"detecting":[17],"rumors.":[18],"Existing":[19],"rumor":[20,30,40,131,219],"detection":[21,33,132,225],"methods":[22],"typically":[23],"exploit":[24],"the":[25,51,59,65,138,155,174,180,194,210,218,223],"reposting":[26,68],"propagation":[27,63,220],"a":[29,39,43,90,129,163,185],"candidate":[31,41],"for":[32,70,154,193],"by":[34,82],"regarding":[35],"all":[36],"reposts":[37],"to":[38,167,178,189],"as":[42,95],"temporal":[44],"sequence":[45],"and":[46,64,104,118,123,151,157,161,183,197,216,222],"learning":[47],"semantics":[48],"representations":[49],"repost":[52],"sequence.":[53],"However,":[54],"extracting":[55],"informative":[56],"support":[57],"from":[58],"topological":[60],"structure":[61,221],"influence":[66],"authors":[69],"debunking":[71],"rumors":[72],"is":[73],"crucial,":[74],"which":[75],"generally":[76],"not":[78],"been":[79],"well":[80],"addressed":[81],"existing":[83],"methods.":[84,232],"In":[85],"this":[86],"article,":[87],"we":[88,127,147,172],"organize":[89],"claim":[91],"post":[92,124,158,198],"circulation":[94],"an":[96],"ad":[97,109,140],"hoc":[98,110,141],"event":[99,102,111,142],"tree,":[100,159,199],"extract":[101],"elements,":[103],"convert":[105],"it":[106],"into":[107],"bipartite":[108,139],"trees":[112,143],"terms":[114],"both":[116],"posts":[117],"authors,":[119],"i.e.,":[120],"author":[121,156,195],"tree":[122,191,196],"tree.":[125],"Accordingly,":[126],"propose":[128,184],"novel":[130],"model":[133,177],"with":[134],"hierarchical":[135],"representation":[136,192],"called":[144],"BAET.":[145],"Specifically,":[146],"introduce":[148],"word":[149],"embedding":[150],"feature":[152],"encoder":[153],"respectively,":[160],"design":[162],"root-aware":[164],"attention":[165,187],"module":[166,188],"perform":[168],"node":[169],"representation.":[170],"Then":[171],"adopt":[173],"tree-like":[175],"RNN":[176],"capture":[179],"structural":[181],"correlations":[182],"tree-aware":[186],"learn":[190],"respectively.":[200],"Extensive":[201],"experimental":[202],"results":[203],"two":[205],"public":[206],"Twitter":[207],"datasets":[208],"demonstrate":[209],"effectiveness":[211],"BAET":[213,228],"exploring":[215],"exploiting":[217],"superior":[224],"performance":[226],"over":[229],"state-of-the-art":[230],"baseline":[231]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2023-05-24T00:00:00"}