{"id":"https://openalex.org/W4406043180","doi":"https://doi.org/10.1108/oir-06-2024-0388","title":"Misinformation detection: datasets,\u00a0models and performance","display_name":"Misinformation detection: datasets,\u00a0models and performance","publication_year":2025,"publication_date":"2025-01-03","ids":{"openalex":"https://openalex.org/W4406043180","doi":"https://doi.org/10.1108/oir-06-2024-0388"},"language":"en","primary_location":{"id":"doi:10.1108/oir-06-2024-0388","is_oa":false,"landing_page_url":"https://doi.org/10.1108/oir-06-2024-0388","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Online Information Review","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/A5028941643","display_name":"H.-K. Chung","orcid":"https://orcid.org/0000-0003-3521-1273"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hsin-Hsuan Chung","raw_affiliation_strings":["Department of Information Science, University of North Texas, Denton, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0003-3521-1273","affiliations":[{"raw_affiliation_string":"Department of Information Science, University of North Texas, Denton, Texas, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010564026","display_name":"Jiangping Chen","orcid":"https://orcid.org/0000-0002-7016-4583"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiangping Chen","raw_affiliation_strings":["School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0002-7016-4583","affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, Illinois, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.3874,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98859198,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"49","issue":"3","first_page":"570","last_page":"584"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9975000023841858,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/misinformation","display_name":"Misinformation","score":0.8933460712432861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363080382347107},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3928128182888031},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34889620542526245},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33147427439689636},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3248956501483917}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8933460712432861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363080382347107},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3928128182888031},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34889620542526245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33147427439689636},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3248956501483917}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/oir-06-2024-0388","is_oa":false,"landing_page_url":"https://doi.org/10.1108/oir-06-2024-0388","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Online Information Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1995341919","https://openalex.org/W2040870580","https://openalex.org/W2064675550","https://openalex.org/W2147800946","https://openalex.org/W2802761856","https://openalex.org/W2896457183","https://openalex.org/W2912249915","https://openalex.org/W2945928904","https://openalex.org/W2993886219","https://openalex.org/W3011573535","https://openalex.org/W3015794574","https://openalex.org/W3036165725","https://openalex.org/W3089703818","https://openalex.org/W3127071205","https://openalex.org/W3202113427","https://openalex.org/W3204381888","https://openalex.org/W3210837814","https://openalex.org/W3214218712","https://openalex.org/W4213271081","https://openalex.org/W4249407388","https://openalex.org/W4285742256","https://openalex.org/W4295927380","https://openalex.org/W4310222835","https://openalex.org/W4311372995","https://openalex.org/W4311521079","https://openalex.org/W4313681038","https://openalex.org/W4317505581","https://openalex.org/W4323644147","https://openalex.org/W4323780185","https://openalex.org/W4366828786","https://openalex.org/W4380607273","https://openalex.org/W4381659493","https://openalex.org/W4386332905","https://openalex.org/W4387860418","https://openalex.org/W4389451826","https://openalex.org/W4391751718"],"related_works":["https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4225301003","https://openalex.org/W4229014887","https://openalex.org/W4388798880","https://openalex.org/W3160843552","https://openalex.org/W4229067106","https://openalex.org/W4220949352"],"abstract_inverted_index":{"Purpose":[0],"This":[1,264,294],"paper":[2,72],"aims":[3],"to":[4,76,218,226,241,252,268,288,338,352],"understand":[5],"the":[6,14,19,29,43,58,108,188,197,242,260,275,340],"characteristics":[7],"of":[8,31,164,208,244,247,256,277,302],"current":[9,142,305],"misinformation":[10,32,92,117,143,209,221,237,280,306,324,357],"detection":[11,33,144,210,307,325],"studies,":[12],"including":[13],"datasets":[15,124,354],"used":[16,99,111,123,355],"by":[17],"researchers,":[18],"computational":[20],"models":[21,34,145,303,342],"or":[22,26,35,131,166,232],"algorithms":[23],"being":[24],"developed":[25,130],"applied,":[27],"and":[28,48,67,79,168,300,318,335,343],"performance":[30,68,157,207,301],"algorithms.":[36,344],"Design/methodology/approach":[37],"We":[38,94],"first":[39],"identified":[40],"articles":[41,59,87,181],"from":[42,57,182,304],"Scopus":[44,189,198],"database":[45,199],"with":[46,74,158,291,349],"inclusion":[47],"exclusion":[49],"criteria.":[50],"Then":[51],"a":[52],"coding":[53],"scheme":[54],"was":[55],"derived":[56],"based":[60],"on":[61,91,172,238,259],"research":[62,77,81],"questions.":[63],"Next,":[64],"datasets,":[65,297],"models,":[66,299],"were":[69],"coded.":[70],"The":[71,119,139,205,309],"concluded":[73],"answers":[75],"questions":[78],"future":[80],"directions.":[82],"Findings":[83],"From":[84],"115":[85],"relevant":[86],"published":[88],"during":[89],"2019\u20132023":[90,183],"detection.":[93,358],"found":[95],"that":[96,184,192,212,270],"most":[97,109,121,140,220,279],"studies":[98,128,155],"previously":[100],"existing":[101],"datasets.":[102],"Twitter":[103],"(now":[104],"X)":[105],"has":[106],"been":[107],"widely":[110],"source":[112],"for":[113,286,356],"collecting":[114],"social":[115,213,248,271,313],"media":[116,214,249,272,314],"data.":[118],"ten":[120],"frequently":[122],"are":[125,185,193,200,224,284],"identified.":[126],"Most":[127],"(96.1%)":[129],"applied":[132],"machine":[133],"learning,":[134],"especially":[135],"deep":[136],"learning":[137],"models.":[138],"advanced":[141],"could":[146,234],"achieve":[147,235],"pretty":[148],"high":[149,206],"performance.":[150,239],"For":[151],"example,":[152],"among":[153],"104":[154],"reporting":[156],"accuracy,":[159],"44.2%":[160],"achieved":[161,170],"an":[162],"accuracy":[163],"0.95":[165],"higher,":[167],"24.0%":[169],"0.90\u20130.94":[171],"accuracy.":[173],"Research":[174],"limitations/implications":[175],"Our":[176],"study":[177,265,295,339],"only":[178],"reviewed":[179],"English":[180],"included":[186,195],"in":[187,196,332],"database.":[190],"Articles":[191],"not":[194,201],"reviewed.":[202],"Practical":[203],"implications":[204,263],"indicates":[211],"should":[215],"be":[216],"able":[217],"detect":[219],"if":[222],"they":[223],"willing":[225],"do":[227],"it.":[228],"However,":[229],"no":[230],"system":[231,320],"algorithm":[233],"100%":[236],"Due":[240],"complexity":[243],"misinformation,":[245],"users":[246],"still":[250],"need":[251],"improve":[253,322,353],"their":[254,323],"capabilities":[255],"evaluating":[257],"information":[258,319,333],"Internet.":[261],"Social":[262],"provides":[266],"evidence":[267],"policymakers":[269],"platforms":[273,283],"have":[274],"capability":[276],"detecting":[278],"posted.":[281],"These":[282],"responsible":[285],"alerting":[287],"suspicious":[289],"postings":[290],"misinformation.":[292],"Originality/value":[293],"identifies":[296],"computer":[298,316,336,350],"research.":[308],"findings":[310],"will":[311,328],"help":[312,330],"companies,":[315],"scientists,":[317],"designers":[321],"systems.":[326],"It":[327],"also":[329],"students":[331],"science":[334,337],"latest":[341],"Information":[345],"professionals":[346],"may":[347],"work":[348],"scientists":[351]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}