Evidence map›Paper›PMID 41868005›Full record

ArticleFrontiers in psychology2026

Bidirectional predictive modeling of narcissists' social exclusion and their hostile interpretations: a deep learning-based exploration of cognitive mechanisms.

Xiu Li, Xin Liu

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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

2 authors.

Xiu LiDepartment of Computer Science, School of Information Science and Technology, Xizang University, Lhasa, China.
Xin LiuDepartment of Development and Educational Psychology (Learning and Personality Development), Liaocheng University Dongchang College, Liaocheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to clarify the interaction mechanism among hostile interpretation, narcissistic personality traits, and social exclusion/acceptance situations, address the limitation of traditional linear analysis, construct an accurate "trait-situation-cognition" prediction model (Hostile Interpretation & Bidirectional Prediction Network, HIBPN), and verify the intervention effect of self-affirmation on social exclusion. Two sequential experiments were designed: Experiment 1 enrolled undergraduate and postgraduate students, divided them by narcissistic traits into dominant narcissism, implicit narcissism, and neutral control groups, manipulated situations via Cyberball 5.0, quantified hostile interpretation biases, and validated situational effectiveness to provide modeling data. Experiment 2 selected implicit narcissists from Experiment 1, randomly assigning them to the self-affirmation intervention group (completing a value- and trait-oriented self-affirmation task) and control group (completing a neutral task). Consistent manipulation and tools with Experiment 1 were used to verify the intervention effect. The model integrated situational variables and narcissistic traits, establishing a closed-loop "antecedent-social exclusion-cognition" system and a bidirectional inference structure (the forward chain predicts social exclusion probability, and the reverse chain deduces the path of hostile interpretation bias). Results: In Experiment 1, under the 1:9 training-test set ratio, the predictive efficacies of the model's two paths reached 69.9 and 83.2%, confirming significant interactions among the three variables; narcissistic traits accounted for 33.55 and 75.73% of the weights, serving as the core driving variable. In Experiment 2, preventive self-affirmation prior to social exclusion significantly reduced implicit narcissists' hostile interpretation bias, with their subjectively predicted social acceptance rate 5.56% higher than that of the control group. This study reveals the dynamic interaction mechanism via HIBPN, providing a new cognitive prediction framework, and confirms the intervention value of preventive self-affirmation, offering a feasible approach to maintaining mental health.

Indexed as

bidirectional inference pathsdata-drivendeep learninghostile interpretationmultidimensional variables

Identifiers

PMID41868005
PMCPMC13003595

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