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Paper · arXiv

Analysing LLM Persona Generation and Fairness Interpretation in Polarised Geopolitical Contexts

Large language models (LLMs) are increasingly utilised for social simulation and persona generation, necessitating an understanding of how they represent geopolitical identities. In this paper, we analyse personas generated for Palestinian and Israeli identities by five popular LLMs across 640 experimental conditions, varying context (war vs non-war) and assigned roles. We observe significant distributional patterns in the generated attributes: Palestinian profiles in war contexts are frequently associated with lower socioeconomic status and survival-oriented roles, whereas Israeli profiles predominantly retain middle-class status and specialised professional attributes. When prompted wit...

AuthorsMaida Aizaz, Quang Minh Nguyen
Primary categorycs.CL
Published24 March 2026
Last updated at source24 March 2026
cs.CL
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