Guess who? : an empirical study of gender deception and detection in computer-mediated communication
Shuyuan Mary Ho,Jonathan M. Hollister +1 more
- Vol. 50, Iss: 1, pp 1-4
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TLDR
This study confirms that gender does not have an impact on the success of gender deception and gender detection and that it is domain knowledge, as well as the perceived trustworthiness of the speaker, along with the trustfulness of the recipients, and self-efficacy that are determining factors associated with the successful attribution of gender.Abstract:
In an online conversation, the verification of partners' identity is a challenge due to the lack of verbal and visual cues typical of e-commerce and computer-mediated communication. People must constantly assess the identity of whomever they are communicating with based on limited interaction. This poster describes an empirical study that identifies how people attribute gender and detects gender deception in online text-based communication. Data has been collected through an interactive social media game platform and designed as a quasi-experiment. Our study confirms that gender does not have an impact on the success of gender deception and gender detection. In fact, it is domain knowledge, as well as the perceived trustworthiness of the speaker, along with the trustfulness of the recipients, and self-efficacy that are determining factors associated with the success of gender deception and attribution.read more
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Deception Detection using Real-life Trial Data
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Verbal and Nonverbal Clues for Real-life Deception Detection
TL;DR: This paper develops a new deception dataset consisting of videos from reallife scenarios, and builds deception tools relying on verbal and nonverbal features, and shows that these results outperform the human capability of identifying deceit.
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Gender-based multimodal deception detection
TL;DR: A multimodal deception detection system is described, and it is shown how the two genders achieve different detection rates for different individual and combined feature sets, with accuracy figures reaching 80%.
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Gender deception in asynchronous online communication: A path analysis
TL;DR: Cognitive factors of gender deception were analyzed, to support hypotheses that an actor’s actual gender can affect the motivation to deceive and suggest that the gender of the message recipient could be a significant factor in uncovering gender deception.
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Gender Deception in Asynchronous Online Communication: A Path Analysis
TL;DR: In this article, the authors used path analysis to examine interconnected cognitive factors that impact online users' ability to deceive and detect deception concerning gender in an asynchronous online game, where males were incentivized to communicate like females, and females were incentivised to behave like males.
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