{"id":"https://openalex.org/W3172675642","doi":"https://doi.org/10.1145/3456415.3456420","title":"Automatic Detecting for COVID-19-related Rumors Data on Internet","display_name":"Automatic Detecting for COVID-19-related Rumors Data on Internet","publication_year":2021,"publication_date":"2021-02-25","ids":{"openalex":"https://openalex.org/W3172675642","doi":"https://doi.org/10.1145/3456415.3456420","mag":"3172675642"},"language":"en","primary_location":{"id":"doi:10.1145/3456415.3456420","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456415.3456420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101999418","display_name":"Huifeng Wang","orcid":"https://orcid.org/0000-0001-5724-766X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HUIFENG WANG","raw_affiliation_strings":["Key Laboratory of Educational Information for Nationalities,Ministry of Education,Yunnan Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Educational Information for Nationalities,Ministry of Education,Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084677085","display_name":"Jianhou Gan","orcid":"https://orcid.org/0000-0002-1287-857X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JIANHOU GAN","raw_affiliation_strings":["Key Laboratory of Educational Information for Nationalities,Ministry of Education,Yunnan Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Educational Information for Nationalities,Ministry of Education,Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628518","display_name":"Jianbin Chen","orcid":"https://orcid.org/0000-0002-6965-119X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JIANBIN CHEN","raw_affiliation_strings":["Network and Information Center,Yunnan Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network and Information Center,Yunnan Normal University, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020094223","display_name":"Zhaoxiang Ouyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ZHAOXIANG OUYANG","raw_affiliation_strings":["School of Information,Dehong Teachers'College, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information,Dehong Teachers'College, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7077,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74674221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9993000030517578,"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":0.9993000030517578,"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":0.989799976348877,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9879999756813049,"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":0.8812438249588013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8308712840080261},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.780751645565033},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.552358865737915},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5382954478263855},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49377021193504333},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.484190970659256},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48213550448417664},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4676375389099121},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4434862732887268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43833574652671814},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41364508867263794},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.41317492723464966},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3376495838165283},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08368319272994995}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.8812438249588013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308712840080261},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.780751645565033},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.552358865737915},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5382954478263855},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49377021193504333},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.484190970659256},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48213550448417664},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4676375389099121},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4434862732887268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43833574652671814},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41364508867263794},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.41317492723464966},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3376495838165283},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08368319272994995},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3456415.3456420","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456415.3456420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1614298861","https://openalex.org/W1727350781","https://openalex.org/W1832693441","https://openalex.org/W2008056655","https://openalex.org/W2250539671","https://openalex.org/W2896457183","https://openalex.org/W2948947170","https://openalex.org/W2963626623","https://openalex.org/W3042809721","https://openalex.org/W3048197637","https://openalex.org/W3089592825","https://openalex.org/W4288108708","https://openalex.org/W4302617179"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W3203949288","https://openalex.org/W4382201653","https://openalex.org/W3175524270","https://openalex.org/W2998070955"],"abstract_inverted_index":{"Since":[0],"the":[1,20,29,76,85,104,124,128],"outbreak":[2],"of":[3,22,58,127],"COVID-19,":[4],"people\u2019s":[5],"lives":[6],"have":[7],"been":[8],"seriously":[9],"affected,":[10],"but":[11],"with":[12],"it":[13,33],"comes":[14],"another":[15],"virus":[16],"\u2019rumor\u2019,":[17],"which":[18],"has":[19],"characteristics":[21],"fast-spreading,":[23],"wide-spreading,":[24],"and":[25,65,72,84,135,143],"difficult":[26],"to":[27,37,42,49,61,90],"control":[28],"spreading":[30],"process.":[31],"Therefore,":[32],"is":[34,133,146],"very":[35],"important":[36],"choose":[38],"an":[39,99],"appropriate":[40],"method":[41,101,109,129],"effectively":[43],"detect":[44,91],"COVID-19":[45,62],"rumors.":[46],"In":[47,94],"response":[48],"this":[50,52,96,131],"problem,":[51],"paper":[53,97,132],"crawls":[54],"a":[55],"data":[56,141],"set":[57,142],"rumors":[59],"related":[60],"from":[63],"Snopes":[64],"construct":[66],"three":[67],"classes":[68],"containing":[69],"Fake,":[70],"Real,":[71],"Unverified.":[73],"We":[74],"try":[75],"traditional":[77],"Word":[78],"Embedding":[79],"Model":[80,88],"(Word2vec,":[81],"Glove,":[82],"FastText)":[83],"current":[86],"Pre-training":[87],"(BERT)":[89],"rumor":[92],"data.":[93],"addition,":[95],"proposes":[98],"improved":[100],"based":[102],"on":[103],"BERT":[105,116],"pre-training":[106],"model.":[107],"This":[108],"obtains":[110],"richer":[111],"semantic":[112],"information":[113],"by":[114],"extracting":[115],"hidden":[117],"state":[118],"output.":[119],"The":[120],"experiment":[121],"shows":[122],"that":[123],"F1":[125],"score":[126],"in":[130],"improved,":[134],"competitive":[136],"results":[137],"are":[138],"achieved.":[139],"Our":[140],"source":[144],"code":[145],"available":[147],"at:":[148],"https://github.com/byew/rumor_detection.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}