Indicated the number of emojis per message for deceitful and truthful messages per valence and intensity.

Indicated the number of emojis per message for deceitful and truthful messages per valence and intensity.

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Background Little research has been done on nonverbal deception cues in computer-mediated communication (CMC). However, deception is a daily occurrence and since much communication is shifting towards CMC, it is important to understand the difference between truthful and deceptive messages. Objective This research obtained more insight in the use...

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Context 1
... investigate the hypothesis that more negative than positive emojis are used in deceit compared to truth, two Wilcoxon Signed Rank Tests were conducted. Moreover, four Wilcoxon Signed Rank Tests were conducted to investigate whether these effects hold for different intensities (strong versus weak) of the emoji (Table 1) for the mean number of emoji per message). The tests were done within the valence (positive versus negative) and intensity (strong versus weak) of emojis, with content (lie versus truth) as the independent variable and frequency of emojis as the dependent variable. ...

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... The specific focus should be research on children as disruptors and deceivers, as currently, there is a lack of research regarding either of these types of Deviants. Why this research is distinctly important to pursue is that studies on adults as disruptors (French et al. 2020;Hilken et al. 2022;Kelly et al. 2021;Mit Sloan Management Review 2021) and as deceivers (Samoilenko and Suvorova 2023;Sarkadi et al. 2021;Walther et al. 2022;Zainal et al. 2022) are currently the focus of much research concerning smartphone use. Thus, there is the opportunity and need for this research to be extended to children and their ability to be empowered as Deviants-as well as Contenders and as Advantaged-with the use of smartphone technology. ...
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