The Dark Side of Emotion Recognition - Evidence From Cross-Cultural Research in Germany and China

A Network Analysis Approach to Understanding Centrality and Overlap of 21 Dark Triad Items in Adults of 10 Countries

Background

Previous research has suggested that manipulation and callousness are central to Dark Triad traits, but it has not identified which specific manifestations are expressed across various countries.

Objective

This study aimed to identify the core and overlapping manifestations of Dark Triad traits across 10 countries.

Methods

We used the Short Dark Triad (SD3) scale and assessed a sample of 8093 participants (59.7% women, M(age) = 32.68 years). For graphical representation, the spinglass algorithm was applied to understand the cluster distribution among Machiavellianism, psychopathy, and subclinical narcissism traits. Centrality indices were used to identify the most influential items, and the clique-percolation algorithm was employed to detect shared attributes among multiple Dark Triad items.

Results

Straightforward SD3-21 items demonstrated better interpretability as aversive traits within the broader system. Items with higher centrality values were those related to short-term verbal manipulation from the psychopathy domain, clever manipulation, strategic revenge-seeking from Machiavellianism, and narcissistic motivations for connecting with significant individuals. The most predicted items were linked to planned revenge, using information against others from Machiavellianism, short-term psychopathic verbal manipulation, and narcissistic belief of specialness based on external validation. Items like short-term verbal manipulation had overlaps with both psychopathy and narcissism clusters, while clever manipulation overlapped with Machiavellianism and psychopathy.

Conclusion

This cross-cultural study highlights the central role of verbal manipulation within the Dark Triad traits, along with identifying overlapping items among traits measured using straightforward SD3 scale items. In line with our findings, future research that incorporates a wide range of cultural contexts is encouraged to establish the consistency of these findings with the SD3 Scale or alternative measures.

A Person-Centered Approach to Emotional Security: Latent Profile Analysis of the Dark Triad and Psychological Symptoms

Few studies have examined emotional security utilizing a person-centered approach. Therefore, in the present study, we conceptualized a multidimensional construct that includes psychological symptoms (i.e., depression, anxiety, and stress) and the dark triad traits (i.e., Machiavellianism, narcissism, and psychopathy). Applying latent profile analysis (LPA) allows the exploration of the interaction of emotional security with the dark triad traits and psychological symptoms in the sample at the level of sub-classes. Depression, stress, anxiety, Machiavellianism, narcissism, and psychopathy were determined as profile indicators. Moreover, satisfaction with life and the psychological well-being of the sub-classes were predicted. Data were gathered from 558 participants (418 females, %74.9) with an average age of 22.44 years). LPA indicated four distinct profiles: 'High emotional security and low psychological symptoms, and dark triad traits' (22%), 'Low emotional security and high psychological symptoms, dark triad traits' (5%), 'Low emotional security and moderate dark triad traits' (28%), 'Moderate emotional security, psychological symptoms, and dark triad traits' (45%). Mixture modeling approach-based research provides a complementary view of the previous psychopathology literature. The findings could help practitioners target at-risk university students with low emotional security, low psychological well-being, and low life satisfaction and design programs to aid them in alleviating the psychological symptoms and the dark triad traits.

Narcissism predicts noise perception but not signal decoding in emotion

Grandiose narcissists claim that they have better-than-average emotion recognition abilities, but many objective tests do not support this claim. We sought to clarify the relation between grandiose (both agentic and communal) narcissism and emotion recognition by taking a closer look at the components of emotion recognition. In two studies (N1 = 147, N2 = 520), using culturally distinct samples and different stimulus materials, we investigated the relation between grandiose narcissism and signal decoding (accurate view of the intended emotion displayed in an expression) as well as noise perception (inaccurate deciphering of secondary emotions that are not part of the emotional message). Narcissism was inconsistently related to signal decoding, but consistently and positively related to noise perception. High grandiose (agentic and communal) narcissists are not necessarily better at signal decoding, but are more susceptible to noise perception. We discuss implications for narcissists' social interactions and interpersonal relationships.

"I feel your fear": superior fear recognition in organised crime members

Individuals who deviate from social norms by committing crimes may have reduced facial emotion recognition abilities. Nevertheless, a specific category of offenders - i.e. organised crime (OC) members - is characterised by hierarchically organised social networks and a tendency to manipulate others to reach their illicit goals. Since recognising emotions is crucial to building social networks, OC members may be more skilled in recognising the facial emotion expressions of others to use this information for their criminal purposes. Evidence of a difference between OC and non-organised crime (NOC) offenders in terms of facial emotion recognition is still lacking. To fill this gap in the literature, we tested 50 OC, 50 NOC offenders, and 50 non-offender controls for their ability to identify six basic emotions (happiness, sadness, fear, anger, disgust, and surprise). All participants underwent a cognitive and psychological evaluation to avoid alternative explanations. Results show that OC members were more able to detect the expression of fear in others as compared to NOC. We interpreted this finding in light of the social context and the behavioural criminal attitude of OC members.