Prevalence Of Deception Research Articles

Some Evidence That Truth-Tellers Are More Attractive Than Liars.

Despite the prevalence of deception, people rarely doubt others' sincerity. However, indirect evaluations of liars and truth-tellers may differ even in the absence of suspicion about veracity. Across three studies, we provide evidence for the truth attraction effect in two samples of target stimuli and three samples of participant judges. Target people are perceived as more attractive when telling the truth versus when they lie, an effect mediated by target warmth and openness. The truth attraction effect is stronger for female targets (vs. males); however, it is unaffected by the gender of the judge. Findings suggest people may be more likely to approach truth-tellers versus liars, even when not actively judging veracity. We discuss the challenges and benefits of treating both targets and participants as random factors in linear mixed-effect analyses and join the chorus of calls to increase the number of target stimuli in deception research.

Deception detection methods incorporating discourse network metrics in synchronous computer-mediated communication

The prevalence of deception in computer-mediated communication and the risk of misjudgement based on deceptive information call for effective detection methods of deception. Extant models for online deception detection rely mainly on verbal behaviours of participants while largely ignoring context. Discourse behaviour analysis, which can better investigate the information in context, has been proved effective for online deception detection; nevertheless, these discourse behaviours have been analysed in isolation without referring to other behaviours in context. To achieve the ultimate goal of effective prediction of deception in synchronous computer-mediated communication, this research exploits temporal networks in uncovering the dynamics of deception behaviours, proposes novel deception detection methods using discourse network metrics as predictive features, and empirically evaluates the performances of deception detection methods incorporating three types of predictive features (non-discourse features, discourse features and discourse network metrics). The results suggest that discourse network features are more effective in detecting deception and incorporating these features with non-discourse and discourse features can significantly improve the performance of deception detection. The findings not only demonstrate the efficacy of structural features in deception detection but also offer both methodological and theoretical contributions to deception detection from the perspective of temporal network.

The CEO who Cried Wolf

Despite the prevalence of deception in everyday life, there are a paucity of articles examining the impact executive deception may have on firm level outcomes. Furthermore, scholars have yet to examine how the use of deception over time may change its related outcomes. The current study investigates both long-term and short- term effects of executive deception on stock recommendations provided by financial analysts. The result suggest that well preforming firms may obtain higher analysts’ recommendations when they use deception, however these positive effects dissipate over time and may even hurt the firm.

Developing online deception literacy while looking for love

Payal Arora and her colleagues argue that Facebook has become a widely-used tool for finding romance in the global south, especially among marginalized youth. Yet this reliance on Facebook opens users up to the possibility of deception, forcing many to develop a dynamic online deception literacy. In this response paper, I unpack the notion of online deception literacy by reviewing the existing social scientific literature on this topic. I discuss (1) the prevalence of deception in online romance: (2) people’s ability to detect online deception; (3) the cues people use to detect online deception; and (4) the usefulness of those cues in accurately gauging deception. I highlight avenues for future research, especially those inspired by the experience of marginalized users in the global south.