Lie Detection in Written Statements by Nonnative and Native Speakers
(2018) PSYP01 20181Department of Psychology
- Abstract
- Detecting lies is crucial in numerous contexts, including situations in which individuals do not communicate in their native language. This study investigated the influence of nonnative language use on lie detection in written statements. An online study prompted 100 native English speakers, referred to as judges, to assess the veracity of truthful and fabricated accounts of job experience written by native and nonnative English speakers. As predicted and found in previous studies using videotaped statements, judges exhibited a significantly greater truth bias towards native than nonnative speakers. This tendency to rate statements by native speakers more often as truthful partly explained why judges were more often correct for truthful... (More)
- Detecting lies is crucial in numerous contexts, including situations in which individuals do not communicate in their native language. This study investigated the influence of nonnative language use on lie detection in written statements. An online study prompted 100 native English speakers, referred to as judges, to assess the veracity of truthful and fabricated accounts of job experience written by native and nonnative English speakers. As predicted and found in previous studies using videotaped statements, judges exhibited a significantly greater truth bias towards native than nonnative speakers. This tendency to rate statements by native speakers more often as truthful partly explained why judges were more often correct for truthful statements by native than by nonnative speakers. In addition to being more inclined to believe them, judges likely had a particular skill to detect the truth in statements by native speakers. Contrary to the hypothesis, judges were more accurate when judging deceptive statements by nonnative than by native speakers. Exploratory analyses revealed that confidence about a judgment was unrelated to its correctness. The study emphasizes the importance of in-depth text analyses of written statements to determine the linguistic characteristics that led to the observed differences in judges’ accuracy and bias. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8948317
- author
- Volz, Sarah LU
- supervisor
-
- Mats Dahl LU
- organization
- course
- PSYP01 20181
- year
- 2018
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- lie detection, deception detection, nonnative speakers, language proficiency, lying, credibility
- language
- English
- id
- 8948317
- date added to LUP
- 2018-06-13 09:30:44
- date last changed
- 2018-06-13 09:30:44
@misc{8948317, abstract = {{Detecting lies is crucial in numerous contexts, including situations in which individuals do not communicate in their native language. This study investigated the influence of nonnative language use on lie detection in written statements. An online study prompted 100 native English speakers, referred to as judges, to assess the veracity of truthful and fabricated accounts of job experience written by native and nonnative English speakers. As predicted and found in previous studies using videotaped statements, judges exhibited a significantly greater truth bias towards native than nonnative speakers. This tendency to rate statements by native speakers more often as truthful partly explained why judges were more often correct for truthful statements by native than by nonnative speakers. In addition to being more inclined to believe them, judges likely had a particular skill to detect the truth in statements by native speakers. Contrary to the hypothesis, judges were more accurate when judging deceptive statements by nonnative than by native speakers. Exploratory analyses revealed that confidence about a judgment was unrelated to its correctness. The study emphasizes the importance of in-depth text analyses of written statements to determine the linguistic characteristics that led to the observed differences in judges’ accuracy and bias.}}, author = {{Volz, Sarah}}, language = {{eng}}, note = {{Student Paper}}, title = {{Lie Detection in Written Statements by Nonnative and Native Speakers}}, year = {{2018}}, }