AN INVESTIGATIONINTO LINGUISTIC CUES TO DECEPTIONFROM THE STATEMENTS MADE BY CHARACTERS IN THE AMERICAN CRIME DRAMA “LIE TO ME”
This study examined the linguistic dimensions of deception emitted through statements made by characters in the American crime drama series “Lie to me”, using a combination of textual analysis tools in order to look for linguistic cues in deception detection. Data input were randomly selected...
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| 其他作者: | |
| 格式: | Luận văn |
| 語言: | English |
| 出版: |
Trường Đại học Ngoại ngữ, Đại học Đà Nẵng
2025
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| 在線閱讀: | https://data.ufl.udn.vn/handle/UFL/1756 |
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| Thư viện lưu trữ: | Trường Đại học Ngoại ngữ - Đại học Đà Nẵng |
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| 總結: | This study examined the linguistic dimensions of deception emitted
through statements made by characters in the American crime drama series
“Lie to me”, using a combination of textual analysis tools in order to look for
linguistic cues in deception detection. Data input were randomly selected
from overall transcript of the series’ 48 episodes with total duration of 2,016
minutes. Three main instruments for text analysis included Linguistic Inquiry
Word Count (LIWC), Text Content Analysis Tool (TCAT), and Simple
Concordance Program (SPC). LIWC was used to calculate data of self references social words, positive emotion words, negative emotion words,
articles, big words (letters > 6 words). TCAT software returned statistics on
total unique word, number of sentences, average sentence length and the
derived Type-Token ratio. SPC was used to count frequency of concordance
in deceitful statements. Pearson coefficients were calculated to study the
correlation of pairs of linguistic dimensions. Results showed the most
frequent correlation happened between self-references and social words,
usually in a negative direction. This finding and some other findings
stimulated the author to suggest alternative approach to special English
courses related to International Criminal Studies in law enforcement training
programs in Vietnam via the emerging computer-based methods of
psychometric measurement in statement analysis research. |
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