The dark side of emotional intelligence: the role of gender and the Dark Triad in emotional manipulation at work

Objective : This study investigated people's willingness to emotionally manipulate others maliciously and disingenuously in the workplace. It also examined the role of gender, emotional intelligence, and the Dark Triad traits in this destructive behaviour. Method : A sample of employees (N = 765; 581 females, 184 males) from varying occupations completed measurements of emotional manipulation willingness in the workplace, emotional intelligence, and the Dark Triad. Results : T-tests revealed that females were significantly less likely than males to engage in both malicious and disingenuous emotional manipulation. In bivariate correlations, higher levels of emotional intelligence were associated with disingenuous emotional manipulation in females only. Emotional intelligence was also a significant contributor to disingenuous emotional manipulation in multiple regression analysis, indicating the existence of a “dark side to emotional intelligence” at work. In females, the magnitude of correlations (small to moderate) between the Dark Triad traits and both forms of emotional manipulation were similar. In males, both forms of emotional manipulation most strongly correlated with Machiavellianism, followed by narcissism, then psychopathy. Conclusion : This study is the first to demonstrate that good emotional intelligence skills can facilitate undesirable workplace behaviours. Emotional manipulation is elevated in males with a relentless drive to achieve goals, and in females with broader deceptive tendencies.     

Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.     

“Time's Up!”: Framing Collective Impatience for Radical Political Change

Grievance is a prominent feature of mobilization for radical political change. Existing scholarship, however, does not pay sufficient attention to the temporal texture of grievance narratives. Temporally “flat” narratives of grievance are ill equipped to provide either the cognitive or emotional stimulus for major political reorientation. In response to this issue, the article develops the concept of collective exhaustion master frames. These are frames that narrate the aggrieved community's arrival to a threshold of collective impatience. Such narratives have two functions—to legitimize radical departures from prevailing political habits (a cognitive task) and to stimulate collective impatience with the political status quo (an emotional management task). In addition to developing the concept of exhaustion frames, the article demonstrates its empirical relevance by outlining five distinctive framing episodes, starting with the U.S. Declaration of Independence. The conclusion outlines the future directions for the study of collective impatience and points to the range of implications for political psychology and adjacent disciplines.