Automated deception detection of 911 call transcripts

Abstract. This study is a successful proof of concept of using automated text analysis to accurately classify transcribed 911 homicide calls ...

Automated deception detection of 911 call transcripts - ResearchGate

Abstract and Figures. This study is a successful proof of concept of using automated text analysis to accurately classify transcribed 911 homicide calls ...

[PDF] Automated deception detection of 911 call transcripts

The results suggest that truthful callers display more negative emotion and anxiety and provide more details for emergency workers to respond to the call, ...

Table 2 Results of Classification Algorithms - Security Informatics

Table 2 Results of Classification Algorithms. From: Automated deception detection of 911 call transcripts. Classification methods. Logistic model tree ...

Automated deception detection of 911 call transcripts - OUCI

Aamodt M, Custer H: Who can best catch a liar? Forensic Examiner 2006, 15: 6–11. Adams SH, Harpster T: 911 homicide calls and statement analysis. FBI Law ...

Deception Detection: Using Machine Learning to Analyze 911 Calls

The above transcript begins a 911 call that was received by the ... automatic deception detection. In addition to the specific findings ...

Deception in 911 Homicide and Homicide Staged as Suicide Calls

Automated deception detection of 911 call transcripts. Security Informatics, 3. J. Prahlow, S. Long, J. Barnard (1998). A suicide disguised as ...

Deception Cues During High-Risk Situations: 911 Homicide Calls

It is difficult to accurately detect deception in other people (Bond & DePaulo, 2006). Even specially trained law-enforcement officers have trouble ...

Deception Detection: Using Machine Learning to Analyze 911 Calls

This study examined the use of machine learning in detecting deception among 210 individuals reporting homicides or missing persons to 911.

Deception Detection Services - Susan Constantine

After our experts analyze your video statements, 911 calls, transcripts, or materials, our experts will break down all of the critical insights you need to ...

Deception in 911 Homicide and Suicide Staged as Homicide Calls

This nonadversarial approach is a positive direction for research that has typically adopted a more 'deception detection'-oriented approach ( ...

“My child is missing”: 911 calls in mysterious disappearances of ...

Investigative case management for missing children homicides: Report II. (2006). M.B. Burns et al. Automated deception detection of 911 call transcripts ...

Police, Prosecutors Used Junk Science to Decide 911 Callers Were ...

This theme came up often in the records: Harpster and his acolytes position 911 call analysis in the no man's land between intent and accident.

Multimodal Deception Detection Using Real-Life Trial Data

... deception detection relied on polygraph tests to detect deceptive behavior. ... Automated deception detection of. 911 call transcripts,” Secur.

‪Kevin Moffitt‬ - ‪Google Scholar‬

Automated deception detection of 911 call transcripts. MB Burns, KC Moffitt. Security Informatics 3, 1-9, 2014. 53, 2014. Perspectives on Past and Future AIS ...

Deception Detection in Group Video Conversations using Dynamic ...

We use a dataset of 185 videos from a deception-based game called Resistance. We first character- ize the behavior of individual, pairs, and groups of deceptive.

911 Homicide Calls - OUCI

Buller DB, Burgoon JK (1996) Interpersonal deception theory. · Burns MB, Moffitt KC (2014) Automated deception detection of 911 call transcripts. · Cheng KHW, ...

An Analysis of Text-Based Deception Detection Tools

Automated deception detection of 911 call transcripts · M. BurnsKevin C. Moffitt. Law, Psychology. Security Informatics. 2014. TLDR. The results suggest that ...

Contextual considerations for deception production and detection in ...

Automated deception detection of 911 call transcripts. Secur. Inf. 3, 1–9. doi: 10.1186/s13388-014-0008-2 [CrossRef] [Google Scholar]; Cooper ...

Automatic Long-Term Deception Detection in Group Interaction Videos

We show that features from low-level and high-level video analysis are insufficient, but when combined with a new class of features that we call LiarRank, ...