{"id":"https://openalex.org/W2998395006","doi":"https://doi.org/10.1109/tkde.2019.2961675","title":"CED: Credible Early Detection of Social Media Rumors","display_name":"CED: Credible Early Detection of Social Media Rumors","publication_year":2019,"publication_date":"2019-12-23","ids":{"openalex":"https://openalex.org/W2998395006","doi":"https://doi.org/10.1109/tkde.2019.2961675","mag":"2998395006"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2961675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2961675","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5048029954","display_name":"Changhe Song","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhe Song","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060417049","display_name":"Cheng Yang","orcid":"https://orcid.org/0000-0001-7821-0030"},"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"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7821-0030","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356345","display_name":"Huimin Chen","orcid":"https://orcid.org/0000-0003-4483-1140"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012930542","display_name":"Cunchao Tu","orcid":"https://orcid.org/0000-0002-4538-9860"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunchao Tu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4538-9860","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320723","display_name":"Zhiyuan Liu","orcid":"https://orcid.org/0000-0002-7709-2543"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7709-2543","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046448314","display_name":"Maosong Sun","orcid":"https://orcid.org/0000-0002-6011-6115"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":30.2588,"has_fulltext":false,"cited_by_count":181,"citation_normalized_percentile":{"value":0.99635709,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"8","first_page":"3035","last_page":"3047"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.988099992275238,"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/T10028","display_name":"Topic Modeling","score":0.975600004196167,"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/rumor","display_name":"Rumor","score":0.9736363887786865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8070080280303955},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6507449746131897},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4367196559906006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3929331600666046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3901735544204712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36913496255874634},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3301216959953308},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1687379777431488}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9736363887786865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070080280303955},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6507449746131897},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4367196559906006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3929331600666046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3901735544204712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36913496255874634},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3301216959953308},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1687379777431488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2961675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2961675","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4438227849","display_name":null,"funder_award_id":"13\\&ZD190","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1546111015","https://openalex.org/W1596717185","https://openalex.org/W1638051351","https://openalex.org/W1832693441","https://openalex.org/W1975594555","https://openalex.org/W1978394996","https://openalex.org/W1983548143","https://openalex.org/W2032897813","https://openalex.org/W2049841711","https://openalex.org/W2051405935","https://openalex.org/W2084591134","https://openalex.org/W2120615054","https://openalex.org/W2131744502","https://openalex.org/W2142869398","https://openalex.org/W2156387975","https://openalex.org/W2264105282","https://openalex.org/W2296706733","https://openalex.org/W2418347253","https://openalex.org/W2577888896","https://openalex.org/W2624010645","https://openalex.org/W2740934577","https://openalex.org/W2741930413","https://openalex.org/W2742144412","https://openalex.org/W2752195587","https://openalex.org/W2763572884","https://openalex.org/W2790166049","https://openalex.org/W2798640866","https://openalex.org/W2799165947","https://openalex.org/W2964077562","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W3021208093","https://openalex.org/W3101890897","https://openalex.org/W3105189474","https://openalex.org/W4301166652","https://openalex.org/W6631190155","https://openalex.org/W6679775712","https://openalex.org/W6682889407","https://openalex.org/W6692405165","https://openalex.org/W6732431570","https://openalex.org/W6750787382"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2372853429","https://openalex.org/W2793319716","https://openalex.org/W3110636174","https://openalex.org/W4210503589","https://openalex.org/W2908713064","https://openalex.org/W2810386322","https://openalex.org/W2801267666","https://openalex.org/W2188429085","https://openalex.org/W2886888575"],"abstract_inverted_index":{"Rumors":[0],"spread":[1],"dramatically":[2],"fast":[3],"through":[4],"online":[5],"social":[6,49],"media":[7],"services,":[8],"and":[9,106],"people":[10],"are":[11],"exploring":[12],"methods":[13,19],"to":[14,27,37,79],"detect":[15,39],"rumors":[16,40],"automatically.":[17],"Existing":[18],"typically":[20],"learn":[21],"semantic":[22],"representations":[23],"of":[24],"all":[25,77,132],"reposts":[26,78],"a":[28,65,80,84,96],"rumor":[29,68,81],"candidate":[30,82],"for":[31,94,120],"prediction.":[32,98],"However,":[33],"it":[34],"is":[35],"crucial":[36],"efficiently":[38],"as":[41,43,83],"early":[42,67,92],"possible":[44],"before":[45],"they":[46],"cause":[47],"severe":[48],"disruption,":[50],"which":[51],"has":[52],"not":[53],"been":[54],"well":[55],"addressed":[56],"by":[57,122],"previous":[58],"works.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"present":[64],"novel":[66],"detection":[69],"model,":[70],"Credible":[71],"Early":[72],"Detection":[73],"(CED).":[74],"By":[75],"regarding":[76],"sequence,":[85],"the":[86,107,117],"proposed":[87,112],"model":[88,113],"will":[89],"seek":[90],"an":[91],"point-in-time":[93],"making":[95],"credible":[97],"We":[99],"conduct":[100],"experiments":[101],"on":[102],"three":[103],"real-world":[104],"datasets,":[105],"results":[108],"demonstrate":[109],"that":[110],"our":[111],"can":[114],"remarkably":[115],"reduce":[116],"time":[118],"span":[119],"prediction":[121],"more":[123],"than":[124,131],"85":[125],"percent,":[126],"with":[127],"better":[128],"accuracy":[129],"performance":[130],"state-of-the-art":[133],"baselines.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
