{"id":"https://openalex.org/W2971981788","doi":"https://doi.org/10.1109/isi.2019.8823421","title":"Detection of Fraudulent Tweets: An Empirical Investigation Using Network Analysis and Deep Learning Technique","display_name":"Detection of Fraudulent Tweets: An Empirical Investigation Using Network Analysis and Deep Learning Technique","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2971981788","doi":"https://doi.org/10.1109/isi.2019.8823421","mag":"2971981788"},"language":"en","primary_location":{"id":"doi:10.1109/isi.2019.8823421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2019.8823421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","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/A5072300665","display_name":"Jaewan Lim","orcid":"https://orcid.org/0000-0001-5579-6606"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaewan Lim","raw_affiliation_strings":["Department of Business Information Systems and Operations Management, University of North Carolina at Charlotte, Charlotte, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Information Systems and Operations Management, University of North Carolina at Charlotte, Charlotte, U.S","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337906","display_name":"Zhihui Liu","orcid":"https://orcid.org/0000-0002-4232-7154"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihui Liu","raw_affiliation_strings":["Department of Computer Science, University of North Carolina at Charlotte, Charlotte, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Charlotte, Charlotte, U.S","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010146682","display_name":"Lina Zhou","orcid":"https://orcid.org/0000-0003-1864-0527"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lina Zhou","raw_affiliation_strings":["Department of Business Information Systems and Operations Management, University of North Carolina at Charlotte, Charlotte, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Information Systems and Operations Management, University of North Carolina at Charlotte, Charlotte, U.S","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9988999962806702,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9955999851226807,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.7107518315315247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4960554540157318},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4739121198654175},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.44857725501060486},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19691261649131775},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.187301903963089}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107518315315247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4960554540157318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4739121198654175},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.44857725501060486},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19691261649131775},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.187301903963089}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isi.2019.8823421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isi.2019.8823421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.75,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W84853486","https://openalex.org/W746997338","https://openalex.org/W2102058195","https://openalex.org/W2131681506","https://openalex.org/W2163898372","https://openalex.org/W2517954747","https://openalex.org/W2887425423","https://openalex.org/W2888034114","https://openalex.org/W2895467332","https://openalex.org/W2903202239","https://openalex.org/W2963864161","https://openalex.org/W3099768174","https://openalex.org/W6755616663","https://openalex.org/W6756380099"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Social":[0],"media":[1,17],"has":[2,20],"become":[3],"a":[4,50,113],"powerful":[5],"and":[6,80],"efficient":[7],"platform":[8],"for":[9,126],"information":[10,66],"diffusion.":[11],"The":[12,90,100,121],"increasing":[13],"pervasiveness":[14],"of":[15,25,42,53,75,96,107],"social":[16],"use,":[18],"however,":[19],"brought":[21],"about":[22],"the":[23,59,76,97,104,108],"problems":[24],"fraudulent":[26,43,69,88,98,119],"accounts":[27],"that":[28,45],"are":[29,46],"intended":[30],"to":[31,49,86,112],"diffuse":[32],"misinformation":[33],"or":[34],"malicious":[35],"contents.":[36],"Twitter":[37],"recently":[38],"released":[39],"comprehensive":[40],"archives":[41],"tweets":[44],"possibly":[47],"connected":[48],"propaganda":[51],"effort":[52],"Internet":[54],"Research":[55],"Agency":[56],"(IRA)":[57],"on":[58],"2016":[60],"U.S.":[61],"presidential":[62],"election.":[63],"To":[64],"understand":[65],"diffusion":[67],"in":[68,117],"networks,":[70],"we":[71],"analyze":[72],"structural":[73],"properties":[74],"IRA":[77],"retweet":[78],"network,":[79],"develop":[81],"deep":[82,109],"neural":[83],"network":[84],"models":[85],"detect":[87],"tweets.":[89,120],"structure":[91],"analysis":[92],"reveals":[93],"key":[94],"characteristics":[95],"network.":[99],"experiment":[101],"results":[102],"demonstrate":[103],"superior":[105],"performance":[106],"learning":[110],"technique":[111],"traditional":[114],"classification":[115],"method":[116],"detecting":[118],"findings":[122],"have":[123],"potential":[124],"implications":[125],"curbing":[127],"online":[128],"misinformation.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}