{"id":"https://openalex.org/W3033372751","doi":"https://doi.org/10.1109/eisic49498.2019.9108852","title":"Identifying Deceptive Reviews: Feature Exploration, Model Transferability and Classification Attack","display_name":"Identifying Deceptive Reviews: Feature Exploration, Model Transferability and Classification Attack","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3033372751","doi":"https://doi.org/10.1109/eisic49498.2019.9108852","mag":"3033372751"},"language":"en","primary_location":{"id":"doi:10.1109/eisic49498.2019.9108852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eisic49498.2019.9108852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 European Intelligence and Security Informatics Conference (EISIC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/EISIC49498.2019.9108852","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011500256","display_name":"Marianela Garc\u00eda Lozano","orcid":"https://orcid.org/0000-0002-0408-1421"},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"funder","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Marianela Garc\u00eda Lozano","raw_affiliation_strings":["FOI Swedish Defence Research Agency,Stockholm,Sweden","FOI Swedish Defence Research Agency, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FOI Swedish Defence Research Agency,Stockholm,Sweden","institution_ids":["https://openalex.org/I1291458624"]},{"raw_affiliation_string":"FOI Swedish Defence Research Agency, Stockholm, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073050680","display_name":"Johan Fernquist","orcid":null},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"funder","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Fernquist","raw_affiliation_strings":["FOI Swedish Defence Research Agency,Stockholm,Sweden","FOI Swedish Defence Research Agency, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FOI Swedish Defence Research Agency,Stockholm,Sweden","institution_ids":["https://openalex.org/I1291458624"]},{"raw_affiliation_string":"FOI Swedish Defence Research Agency, Stockholm, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011500256"],"corresponding_institution_ids":["https://openalex.org/I1291458624"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35354453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9980999827384949,"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":0.9970999956130981,"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":0.7941384315490723},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6415234804153442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124038100242615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5781223177909851},{"id":"https://openalex.org/keywords/stylometry","display_name":"Stylometry","score":0.5747612118721008},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5741977691650391},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5264148116111755},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4641140103340149},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34737667441368103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941384315490723},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6415234804153442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124038100242615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5781223177909851},{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.5747612118721008},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5741977691650391},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5264148116111755},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4641140103340149},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34737667441368103},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eisic49498.2019.9108852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eisic49498.2019.9108852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 European Intelligence and Security Informatics Conference (EISIC)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:3929415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/EISIC49498.2019.9108852","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3929415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/EISIC49498.2019.9108852","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6855405882","display_name":null,"funder_award_id":"832921","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W1560851690","https://openalex.org/W1577124026","https://openalex.org/W1579838312","https://openalex.org/W1736726159","https://openalex.org/W1984545377","https://openalex.org/W1996665163","https://openalex.org/W2016266039","https://openalex.org/W2057228200","https://openalex.org/W2069892765","https://openalex.org/W2106510630","https://openalex.org/W2119804197","https://openalex.org/W2124637344","https://openalex.org/W2137974413","https://openalex.org/W2139621418","https://openalex.org/W2143017621","https://openalex.org/W2153579005","https://openalex.org/W2160117199","https://openalex.org/W2161283199","https://openalex.org/W2251030241","https://openalex.org/W2252024402","https://openalex.org/W2887868551","https://openalex.org/W2953320089","https://openalex.org/W3100051113","https://openalex.org/W3122121843","https://openalex.org/W4206555898","https://openalex.org/W4293355737","https://openalex.org/W4294170691","https://openalex.org/W6649331753","https://openalex.org/W6668043711","https://openalex.org/W6678444979","https://openalex.org/W6682691769","https://openalex.org/W6684043126","https://openalex.org/W6691103430","https://openalex.org/W6691812829","https://openalex.org/W6764970959"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W2895461980","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W2187670843","https://openalex.org/W2027650462","https://openalex.org/W2768755876","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W2285499887"],"abstract_inverted_index":{"The":[0,48],"temptation":[1],"to":[2,43,101],"influence":[3],"and":[4,25,63,78,162,171],"sway":[5],"public":[6],"opinion":[7,36],"most":[8],"certainly":[9],"increases":[10],"with":[11],"the":[12,80,94,111,115,143,169],"growth":[13],"of":[14,51,58,83,96,105,108,135,159],"open":[15],"online":[16,28],"forums":[17],"where":[18],"anyone":[19],"anonymously":[20],"can":[21,172],"express":[22],"their":[23],"views":[24],"opinions.":[26],"Since":[27],"review":[29,73,102],"sites":[30],"are":[31],"a":[32,41,71,177],"popular":[33],"venue":[34],"for":[35],"influencing":[37],"attacks,":[38],"there":[39],"is":[40,54],"need":[42],"automatically":[44],"identify":[45],"deceptive":[46,59,72],"posts.":[47],"main":[49],"focus":[50],"this":[52,67],"work":[53],"on":[55,153],"automatic":[56],"identification":[57],"reviews,":[60],"both":[61],"positive":[62],"negative":[64],"biased.":[65],"With":[66],"objective,":[68],"we":[69,92,131],"build":[70],"SVM":[74],"based":[75],"classification":[76,98,145],"model":[77],"explore":[79],"performance":[81],"impact":[82],"using":[84,138],"different":[85,139,160],"feature":[86,140],"types":[87,107],"(TF-IDF,":[88],"word2vec,":[89],"PCFG).":[90],"Moreover,":[91],"study":[93],"transferability":[95],"trained":[97,144],"models":[99,146],"applied":[100,152],"data":[103,155],"sets":[104,156],"other":[106,154],"products,":[109,161],"and,":[110],"classifier":[112],"robustness,":[113],"i.e.,":[114],"accuracy":[116,134],"impact,":[117],"against":[118],"attacks":[119],"by":[120],"stylometry":[121],"obfuscation":[122],"trough":[123],"machine":[124,164],"translation.":[125],"Our":[126],"findings":[127],"show":[128],"that":[129],"i)":[130],"achieve":[132],"an":[133],"over":[136],"90%":[137],"types,":[141],"ii)":[142],"do":[147],"not":[148,173],"perform":[149],"well":[150],"when":[151],"containing":[157],"reviews":[158],"iii)":[163],"translation":[165],"only":[166],"slightly":[167],"impacts":[168],"results":[170],"be":[174],"used":[175],"as":[176],"viable":[178],"attack":[179],"method.":[180]},"counts_by_year":[],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2020-06-12T00:00:00"}