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The study aims to investigate how metacognitive abilities relate to facial emotional expressions, as the inner narrative of a subject might project subconsciously and primes facial emotional expressions in a non-social setting. Subjects were presented online to a set of digitalised short-term memory tasks and attended a screening of artistic and artificial stimuli, where their facial emotional expressions were recorded and analyzed by artificial intelligence. Results show self-assessment bias in association with emotional expressivity \u2013 neutrality, saturation, transparency \u2013 and the display of anger and hostility as an individually specific trait expressed at modality-dependent degrees. Our results indicate that self-assessment bias interplays in subconscious communication \u2013 the expression, control and recognition of facial emotions, especially \u2013 with empathetic skills and manipulation.<\/jats:p>","DOI":"10.1186\/s40359-025-02590-7","type":"journal-article","created":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T13:49:31Z","timestamp":1741614571000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Overconfident, but angry at least. 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