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Artificial intelligence as a tool for detecting deception in 911 homicide calls

Bibliographic Data

ID6434638
AuthorsPatrick M Markey (0000-0002-2401-2327), Samantha Goldman (0009-0009-4469-1011), Jennie Dapice, Sofia Saj, Saadet Ceynek, Tia Nicolas, Lila Trollip
Year2024
Volume96
Pages102337-102337
Publication date2024-12-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Criminal Justice (JOURNAL)
Journal identifiersISSN: 0047-2352 • E-ISSN: 1873-6203
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jcrimjus.2024.102337
OpenAlexW4405466902
LanguageEN
Citations received1
References cited30

Computer security · Criminology · Deception · Homicide · Medical emergency · Poison control · Artificial Intelligence · Computer Science · Cybercrime and Law Enforcement Studies · Deception detection and forensic psychology · Engineering · Human Factors and Ergonomics · Medicine · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending · Social Psychology

  • Typical Patterns of Hoax and Genuine Emergency Calls

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  • Evaluating correlations in studies of personality and behavior

    Open Access•Ryne A Sherman, David C Funder•Journal of Research in Personality•2009

  • Individual differences in judging deception

    Charles F Bond, Bella M Depaulo•Psychological Bulletin•2008

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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