How to prevent deception: A study of digital deception in “visual poverty” livestream

This study, grounded in the interpersonal deception theory (IDT), aims to analyze the new form of digital deception known as “visual poverty” in livestreaming rooms. Through a multimodal discourse analysis of the collected data, this study found three distinct linguistic strategies employed in “visual poverty” livestream: illocutionary strategy, discourse strategy, and nonverbal strategy. These strategies are designed to achieve three interactional goals: constructing a false identity, reinforcing credibility, and gaining economic benefits. Based on these findings, this study further analyzed why it is difficult to detect digital deception and proposed suggestions to prevent it. This study theoretically proposes online IDT and offers practical suggestions for preventing digital deception, bearing both theoretical and practical significance.

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Publication Details

Journal
New Media & Society
Published
2024-10-19
DOI
https://doi.org/10.1177/14614448241285443
Citations
25
Primary Topic
Deception detection and forensic psychology
Type
article
Field-Weighted Citation Impact
16.09

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article

How to prevent deception: A study of digital deception in “visual poverty” livestream

Kun Yang
25 citations
New Media & Society
Deception detection and forensic psychology
16.09
article

How to prevent deception: A study of digital deception in “visual poverty” livestream

Kun Yang
article en
25 citations

Abstract

This study, grounded in the interpersonal deception theory (IDT), aims to analyze the new form of digital deception known as “visual poverty” in livestreaming rooms. Through a multimodal discourse analysis of the collected data, this study found three distinct linguistic strategies employed in “visual poverty” livestream: illocutionary strategy, discourse strategy, and nonverbal strategy. These strategies are designed to achieve three interactional goals: constructing a false identity, reinforcing credibility, and gaining economic benefits. Based on these findings, this study further analyzed why it is difficult to detect digital deception and proposed suggestions to prevent it. This study theoretically proposes online IDT and offers practical suggestions for preventing digital deception, bearing both theoretical and practical significance.

New Media & SocietyVol. 27(12)
Nanjing Normal University (CN), University of Cambridge (GB)
National Social Science Fund of China
Openalex Percentile: Top 1%
Deception detection and forensic psychology
16.09
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