Abstract
The current paper describes potential systematic errors (or biases) that may appear while applying content-based lie detection tools, by focusing on richness in detail – a core indicator in verbal tools – as a test case. Two categories of biases are discussed: those related to the interviewees (i.e., interviewees with different characteristics differ in the number of details they provide when lying or telling the truth) and those related to the tool expert (i.e., tool experts with different characteristics differ in the way they perceive and interpret verbal cues). We suggested several ways to reduce the influence of these biases, and emphasized the need for future studies in this matter.
| Original language | English |
|---|---|
| Pages (from-to) | 98-107 |
| Journal | Crime Psychology Review |
| Volume | 1 |
| Issue number | 1 |
| Early online date | 24 Mar 2016 |
| DOIs | |
| Publication status | Published - Mar 2016 |
Keywords
- Richness in detail
- judgmental biases
- verbal lie detection tools
- reality monitoring
- criteria based content analysis
- scientific content analysis