{"id":"https://openalex.org/W4399516290","doi":"https://doi.org/10.1145/3643651.3659895","title":"Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges","display_name":"Domain Independent Deception Detection: Feature Sets, LIWC Efficacy, and Synthetic Data Challenges","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4399516290","doi":"https://doi.org/10.1145/3643651.3659895"},"language":"en","primary_location":{"id":"doi:10.1145/3643651.3659895","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643651.3659895","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3643651.3659895","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012070052","display_name":"Casey Hanks","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Casey Hanks","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, Maryland, USA"],"raw_orcid":"https://orcid.org/0009-0005-3926-5940","affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, Maryland, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103267491","display_name":"Shanina Ko","orcid":"https://orcid.org/0009-0008-7825-5798"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanina Ko","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, Maryland, USA"],"raw_orcid":"https://orcid.org/0009-0008-7825-5798","affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, Maryland, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092819563","display_name":"Emily Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Nguyen","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, Maryland, USA"],"raw_orcid":"https://orcid.org/0009-0004-3597-4275","affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, Maryland, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050592031","display_name":"Rakesh Verma","orcid":"https://orcid.org/0000-0002-7466-7823"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh M. Verma","raw_affiliation_strings":["University of Houston, Houston, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0002-7466-7823","affiliations":[{"raw_affiliation_string":"University of Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.548,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67883745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/deception","display_name":"Deception","score":0.819852352142334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5915737152099609},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5786195397377014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339362025260925},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5095949172973633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.467637300491333},{"id":"https://openalex.org/keywords/research-domain-criteria","display_name":"Research Domain Criteria","score":0.42559826374053955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37077903747558594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3647724986076355},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34824591875076294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15488487482070923},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.14071935415267944},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.12649235129356384}],"concepts":[{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.819852352142334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915737152099609},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5786195397377014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339362025260925},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5095949172973633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.467637300491333},{"id":"https://openalex.org/C2777343845","wikidata":"https://www.wikidata.org/wiki/Q16573248","display_name":"Research Domain Criteria","level":3,"score":0.42559826374053955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37077903747558594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3647724986076355},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34824591875076294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15488487482070923},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.14071935415267944},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.12649235129356384},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643651.3659895","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643651.3659895","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3643651.3659895","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643651.3659895","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3864230502","display_name":null,"funder_award_id":"1433817","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1631063262","https://openalex.org/W2394962437","https://openalex.org/W2598727995","https://openalex.org/W2915177913","https://openalex.org/W3003583062","https://openalex.org/W4223896176","https://openalex.org/W4224995163","https://openalex.org/W4284678127","https://openalex.org/W4324118181","https://openalex.org/W4390681946","https://openalex.org/W4394729874"],"related_works":["https://openalex.org/W2165717120","https://openalex.org/W2039390456","https://openalex.org/W2948663225","https://openalex.org/W2029954793","https://openalex.org/W1992683634","https://openalex.org/W4295295666","https://openalex.org/W1978059949","https://openalex.org/W2512387791","https://openalex.org/W70044515","https://openalex.org/W2128448209"],"abstract_inverted_index":{"Deception":[0],"is":[1,68],"increasingly":[2],"prevalent":[3],"in":[4,9,63,84,99,156],"the":[5,85,116,124,138,149],"modern":[6,125],"world,":[7],"appearing":[8],"many":[10],"different":[11,37],"forms":[12],"(domains)":[13],"from":[14],"phishing":[15],"emails":[16],"to":[17,32,40,81,93,119,128,147],"fictitious":[18],"product":[19],"reviews,":[20],"or":[21,39],"even":[22],"false":[23],"political":[24],"statements.":[25],"Many":[26],"researchers":[27,49],"are":[28,61],"looking":[29],"for":[30],"ways":[31],"identify":[33],"deception":[34,42,55,66],"within":[35],"these":[36],"domains":[38,102],"characterize":[41],"through":[43,111],"new":[44],"datasets":[45],"and":[46,90],"techniques.":[47],"Most":[48],"focus":[50],"on":[51],"one":[52],"domain":[53,89],"of":[54,103,151],"at":[56],"a":[57,75,152],"time,":[58],"however,":[59],"we":[60,73,141],"interested":[62],"whether":[64],"domain-independent":[65],"detection":[67],"possible.":[69],"To":[70],"this":[71],"end,":[72],"recreate":[74],"linguistic":[76,95,132],"cue-based":[77],"feature":[78,97,107,145],"set":[79,108,146],"proven":[80],"be":[82],"effective":[83],"business-to-business":[86],"communication":[87],"(B2B)":[88],"compare":[91],"it":[92],"state-of-the-art":[94],"cue":[96,133],"sets":[98],"five":[100],"other":[101],"deception.":[104],"This":[105],"B2B":[106],"was":[109],"created":[110],"LIWC2007,":[112],"which":[113],"allows":[114],"us":[115],"unique":[117],"opportunity":[118],"utilize":[120],"that":[121],"version":[122,126],"alongside":[123],"LIWC22,":[127],"ascertain":[129],"how":[130],"much":[131],"extraction":[134],"has":[135],"improved":[136],"over":[137],"years.":[139],"Finally,":[140],"leverage":[142],"our":[143],"best-performing":[144],"investigate":[148],"efficacy":[150],"technique":[153],"gaining":[154],"popularity":[155],"recent":[157],"years,":[158],"crowd-sourced":[159],"synthetic":[160],"datasets.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
