arXiv Computation and Language By Victoria Popa, Guglielmo Cola, Caterina Senette, Maurizio Tesconi

Faking Good and Faking Bad in LLMs: Response Distortion Across Dark Triad Personality Traits

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The paper examines how large language models (LLMs) alter the expression of Dark Triad traits—Machiavellianism, narcissism, and psychopathy—when prompted to fake good or fake bad. Across seven state‑of‑the‑art models and two real‑world contexts (employment selection and forensic evaluation), most models lowered trait scores under fake‑good conditions and raised them under fake‑bad conditions, with varying consistency across traits and models. The study also finds that explicit fake‑bad instructions produce stronger distortions than contextual framing alone, underscoring the influence of motivational and situational context on personality‑related outputs.

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