{"id":"https://openalex.org/W7140085738","doi":"https://doi.org/10.1007/s10796-026-10715-5","title":"Toward a Knowledge Discovery Method to Fake Review Detection","display_name":"Toward a Knowledge Discovery Method to Fake Review Detection","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140085738","doi":"https://doi.org/10.1007/s10796-026-10715-5"},"language":"en","primary_location":{"id":"doi:10.1007/s10796-026-10715-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10796-026-10715-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10796-026-10715-5.pdf","source":{"id":"https://openalex.org/S181659395","display_name":"Information Systems Frontiers","issn_l":"1387-3326","issn":["1387-3326","1572-9419"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems Frontiers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10796-026-10715-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jie Tao","orcid":"https://orcid.org/0000-0002-8958-561X"},"institutions":[{"id":"https://openalex.org/I126350171","display_name":"Fairfield University","ror":"https://ror.org/04z49n283","country_code":"US","type":"education","lineage":["https://openalex.org/I126350171"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Tao","raw_affiliation_strings":["Fairfield University, Fairfield, CT, 06824, USA"],"raw_orcid":"https://orcid.org/0000-0002-8958-561X","affiliations":[{"raw_affiliation_string":"Fairfield University, Fairfield, CT, 06824, USA","institution_ids":["https://openalex.org/I126350171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595779","display_name":"Xing Fang","orcid":"https://orcid.org/0000-0001-8574-9149"},"institutions":[{"id":"https://openalex.org/I47301684","display_name":"Illinois State University","ror":"https://ror.org/050kcr883","country_code":"US","type":"education","lineage":["https://openalex.org/I47301684"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xing Fang","raw_affiliation_strings":["Illinois State University, Normal, IL, 61790, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Illinois State University, Normal, IL, 61790, USA","institution_ids":["https://openalex.org/I47301684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130356780","display_name":"Lina Zhou","orcid":null},"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":["University of North Carolina at Charlotte, Charlotte, NC, 28233, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, NC, 28233, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126350171"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33648632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"3","first_page":"1109","last_page":"1125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.6712999939918518,"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":0.6712999939918518,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.26660001277923584,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.02459999918937683,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5827000141143799},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5112000107765198},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.4763000011444092},{"id":"https://openalex.org/keywords/tacit-knowledge","display_name":"Tacit knowledge","score":0.4666000008583069},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.45320001244544983},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4368000030517578},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.36629998683929443},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.3652999997138977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8116000294685364},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C2779561248","wikidata":"https://www.wikidata.org/wiki/Q743861","display_name":"Tacit knowledge","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46619999408721924},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43309998512268066},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.3652999997138977},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255999982357025},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25870001316070557},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10796-026-10715-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10796-026-10715-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10796-026-10715-5.pdf","source":{"id":"https://openalex.org/S181659395","display_name":"Information Systems Frontiers","issn_l":"1387-3326","issn":["1387-3326","1572-9419"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems Frontiers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10796-026-10715-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10796-026-10715-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10796-026-10715-5.pdf","source":{"id":"https://openalex.org/S181659395","display_name":"Information Systems Frontiers","issn_l":"1387-3326","issn":["1387-3326","1572-9419"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems Frontiers","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6048266291618347}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140085738.pdf","grobid_xml":"https://content.openalex.org/works/W7140085738.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2006576296","https://openalex.org/W2007778025","https://openalex.org/W2035896792","https://openalex.org/W2064058256","https://openalex.org/W2554367394","https://openalex.org/W2905099924","https://openalex.org/W2950944846","https://openalex.org/W2970352191","https://openalex.org/W2979860911","https://openalex.org/W2984197274","https://openalex.org/W2990663995","https://openalex.org/W2998019206","https://openalex.org/W3009436785","https://openalex.org/W3023672669","https://openalex.org/W3091902754","https://openalex.org/W3112260658","https://openalex.org/W3127128944","https://openalex.org/W3156843431","https://openalex.org/W3199549180","https://openalex.org/W3199704160","https://openalex.org/W4213035182","https://openalex.org/W4282034754","https://openalex.org/W4282036832","https://openalex.org/W4283078748","https://openalex.org/W4309526725","https://openalex.org/W4309573029","https://openalex.org/W4312871752","https://openalex.org/W4327973056","https://openalex.org/W4366698663","https://openalex.org/W4389523787","https://openalex.org/W4400033129"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Fake":[1],"reviews":[2,50,68],"can":[3,52],"mislead":[4],"consumers":[5],"into":[6],"making":[7],"wrong":[8],"or":[9,48],"suboptimal":[10],"decisions.":[11],"Despite":[12],"the":[13,32,54,70,76,83,135,142,179,203,225],"tremendous":[14],"effort":[15],"in":[16,164,235],"advancing":[17],"fake":[18,47,107,167,206,236],"review":[19,108,127,152,168,207,237],"detection":[20,33,55,64,109,208],"models,":[21],"existing":[22],"work":[23],"has":[24,39],"focused":[25],"on":[26,43,141,202],"developing":[27],"complex":[28,59],"models":[29,65],"to":[30,134,161,218,231],"improve":[31],"performance":[34],"(e.g.,":[35],"accuracy);":[36],"however,":[37],"there":[38],"been":[40],"little":[41],"research":[42],"discovering":[44],"knowledge":[45,103,156,163,181,199],"about":[46],"authentic":[49],"that":[51,110],"guide":[53],"efforts":[56],"from":[57,145,185],"those":[58,184],"models.":[60],"In":[61],"addition,":[62],"previous":[63],"treat":[66],"online":[67,138],"as":[69],"unit":[71],"of":[72,79,89,112,137,166,197,205],"analysis":[73],"while":[74],"ignoring":[75],"semantic":[77],"coherence":[78,143],"different":[80],"sentences":[81,153],"within":[82],"same":[84],"review.":[85],"Using":[86],"a":[87,99,131,146],"combination":[88],"deep":[90],"learning":[91,221],"with":[92],"transformers":[93],"and":[94,101,120,157],"unsupervised":[95],"learning,":[96],"we":[97],"propose":[98],"model-agnostic":[100],"data-independent":[102],"discovery":[104,200],"method":[105,201],"for":[106,178,227],"consists":[111],"two":[113],"components:":[114],"Domain":[115],"Adaptation":[116],"Transfer":[117],"Learning":[118],"(DATL)":[119],"Fine-Grained":[121],"Knowledge":[122],"Discovery":[123],"(FGKD).":[124],"DATL":[125],"encodes":[126],"texts":[128],"by":[129,182],"adapting":[130],"transformer-based":[132],"model":[133,211,229],"context":[136],"reviews.":[139],"Drawing":[140],"principle":[144],"deception":[147],"theory,":[148],"FGKD":[149],"first":[150],"identifies":[151],"containing":[154],"tacit":[155],"then":[158],"uses":[159],"them":[160],"discover":[162],"support":[165],"detection.":[169,238],"We":[170],"further":[171],"develop":[172],"novel":[173],"evaluation":[174,191],"metrics":[175],"beyond":[176],"accuracy":[177],"generated":[180],"extending":[183],"interpretable":[186,219],"machine":[187,220],"learning.":[188],"The":[189],"empirical":[190],"results":[192],"demonstrate":[193],"consistently":[194],"positive":[195],"effects":[196],"our":[198],"efficiency":[204],"without":[209],"hurting":[210],"effectiveness.":[212],"This":[213],"study":[214],"not":[215],"only":[216],"contributes":[217],"but":[222],"also":[223],"lays":[224],"foundation":[226],"AI":[228],"design":[230],"augment":[232],"humans\u2019":[233],"ability":[234]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-03-24T00:00:00"}