AI Article Synopsis
- The Scientific Content Analysis (SCAN) is a method used by investigative authorities for assessing the truthfulness of verbal statements, but there isn't much research on its effectiveness.
- A study involving 117 participants tested SCAN's ability to distinguish between true and fabricated statements about negative events, using 11 specific criteria.
- The results showed that SCAN failed to accurately classify the statements, suggesting that its current application should be reconsidered due to a lack of empirical support.
Article Abstract
The Scientific Content Analysis (SCAN) is a verbal veracity assessment method that is currently used worldwide by investigative authorities. Yet, research investigating the accuracy of SCAN is scarce. The present study tested whether SCAN was able to accurately discriminate between true and fabricated statements. To this end, 117 participants were asked to write down one true and one fabricated statement about a recent negative event that happened in their lives. All statements were analyzed using 11 criteria derived from SCAN. Results indicated that SCAN was not able to correctly classify true and fabricated statements. Lacking empirical support, the application of SCAN in its current form should be discouraged.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766305 | PMC |
| http://dx.doi.org/10.3389/fpsyg.2016.00243 | DOI Listing |
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