{"id":"https://openalex.org/W2963198397","doi":"https://doi.org/10.1109/dsw.2019.8755600","title":"Rumour Detection Via News Propagation Dynamics and User Representation Learning","display_name":"Rumour Detection Via News Propagation Dynamics and User Representation Learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2963198397","doi":"https://doi.org/10.1109/dsw.2019.8755600","mag":"2963198397"},"language":"en","primary_location":{"id":"doi:10.1109/dsw.2019.8755600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsw.2019.8755600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Data Science Workshop (DSW)","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/A5048927338","display_name":"Tien Huu","orcid":"https://orcid.org/0000-0002-7346-5496"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]},{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Tien Huu Do","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, B-1050, Belgium","imec, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, B-1050, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426938","display_name":"Xiao Luo","orcid":"https://orcid.org/0000-0002-7987-3714"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Xiao Luo","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, B-1050, Belgium","Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, B-1050, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961269","display_name":"Duc Minh Nguyen","orcid":"https://orcid.org/0000-0002-0367-564X"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]},{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Duc Minh Nguyen","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, B-1050, Belgium","imec, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, B-1050, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043511500","display_name":"Nikos Deligiannis","orcid":"https://orcid.org/0000-0001-9300-5860"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nikos Deligiannis","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, B-1050, Belgium","imec, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, B-1050, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"imec, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048927338"],"corresponding_institution_ids":["https://openalex.org/I13469542","https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":4.5903,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94774715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"200"},"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":0.9869999885559082,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9671000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700278162956238},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7592136859893799},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7359707355499268},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6114963889122009},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5849747061729431},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.569888174533844},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4986085891723633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516788721084595},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42131882905960083},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3170608878135681},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.09137415885925293},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.07047078013420105},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.06748610734939575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700278162956238},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7592136859893799},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7359707355499268},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6114963889122009},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5849747061729431},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.569888174533844},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4986085891723633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516788721084595},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42131882905960083},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3170608878135681},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.09137415885925293},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.07047078013420105},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.06748610734939575},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsw.2019.8755600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsw.2019.8755600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Data Science Workshop (DSW)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:125065","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/rumour-detection-via-news-propagation-dynamics-and-user-representation-learning(74f1d148-3607-4ebd-b2d7-fbc95af9116d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1507075132","https://openalex.org/W1522301498","https://openalex.org/W1532503642","https://openalex.org/W1546111015","https://openalex.org/W1598796236","https://openalex.org/W1969944630","https://openalex.org/W1975594555","https://openalex.org/W2032897813","https://openalex.org/W2041614930","https://openalex.org/W2064675550","https://openalex.org/W2084591134","https://openalex.org/W2095705004","https://openalex.org/W2131744502","https://openalex.org/W2142869398","https://openalex.org/W2157331557","https://openalex.org/W2424495361","https://openalex.org/W2540896251","https://openalex.org/W2577888896","https://openalex.org/W2593408211","https://openalex.org/W2609512471","https://openalex.org/W2610676001","https://openalex.org/W2741930413","https://openalex.org/W2742330194","https://openalex.org/W2763572884","https://openalex.org/W2776671924","https://openalex.org/W2788235048","https://openalex.org/W2804688835","https://openalex.org/W2807164052","https://openalex.org/W2808228212","https://openalex.org/W2945264558","https://openalex.org/W2963416784","https://openalex.org/W2964121744","https://openalex.org/W2964302420","https://openalex.org/W3101890897","https://openalex.org/W3125491592","https://openalex.org/W3135072933","https://openalex.org/W4293926355","https://openalex.org/W4297730508","https://openalex.org/W6631190155","https://openalex.org/W6631791493","https://openalex.org/W6635679246","https://openalex.org/W6674330103","https://openalex.org/W6679775712","https://openalex.org/W6717585163","https://openalex.org/W6728711331","https://openalex.org/W6732431570","https://openalex.org/W6734714529","https://openalex.org/W6736903189","https://openalex.org/W6736914268","https://openalex.org/W6751322027","https://openalex.org/W6751593369","https://openalex.org/W6751929789","https://openalex.org/W6791474037","https://openalex.org/W7019290799"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2062195135","https://openalex.org/W1977056376","https://openalex.org/W1990545028","https://openalex.org/W4312622923","https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2795079307","https://openalex.org/W2048368023","https://openalex.org/W2735469505"],"abstract_inverted_index":{"Rumours":[0],"have":[1,8,38],"existed":[2],"for":[3,11,92],"a":[4,89],"long":[5],"time":[6],"and":[7,113,124],"been":[9,39],"known":[10],"serious":[12],"consequences.":[13],"The":[14],"rapid":[15],"growth":[16],"of":[17,26,51,66,74,76,105,117,131],"social":[18,49,69,77],"media":[19,78],"platforms":[20],"has":[21],"multiplied":[22],"the":[23,45,48,63,72,102,106,110,114,128,132],"negative":[24],"impact":[25],"rumours;":[27],"it":[28],"thus":[29],"becomes":[30],"important":[31],"to":[32,41],"early":[33],"detect":[34,42],"them.":[35],"Many":[36],"methods":[37,56],"introduced":[40],"rumours":[43],"using":[44],"content":[46],"or":[47,58],"context":[50],"news.":[52],"However,":[53],"most":[54],"existing":[55],"ignore":[57],"do":[59],"not":[60],"explore":[61],"effectively":[62],"propagation":[64,103],"pattern":[65],"news":[67,81,107],"in":[68],"media,":[70],"including":[71],"sequence":[73],"interactions":[75],"users":[79],"with":[80],"across":[82],"time.":[83],"In":[84],"this":[85],"work,":[86],"we":[87],"propose":[88],"novel":[90],"method":[91,100],"rumour":[93],"detection":[94],"based":[95],"on":[96,122],"deep":[97],"learning.":[98],"Our":[99],"leverages":[101],"process":[104],"by":[108],"learning":[109],"users'":[111,118],"representation":[112],"temporal":[115],"interrelation":[116],"responses.":[119],"Experiments":[120],"conducted":[121],"Twitter":[123],"Weibo":[125],"datasets":[126],"demonstrate":[127],"state-of-the-art":[129],"performance":[130],"proposed":[133],"method.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
