ArticlePNAS nexus2024
Large language models can infer psychological dispositions of social media users.
Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- On the conversational persuasiveness of GPT-4.Nature human behaviour · 2025Trial
- Personality Inference From Semistructured Interviews Using Large Language Models: Comparative Evaluation Study.Journal of medical Internet research · 2026Article
- Persona-prompted LLM agents achieve modest but genuine prediction of human social media reactions.Scientific reports · 2026Article
- Inferring Personality From Social Media Activity Using Large Language Models: Cross-Model Agreement, Temporal Stability, and Convergent Validity With Self-Reports.Journal of personality · 2026Article
- Surfacing Suicidal Risk Through Simulated Social Interaction: Per-Person Language Model Agents as Communicative Stress Tests.medRxiv : the preprint server for health sciences · 2026Article
- Large language models can detect verbal indicators of romantic attraction.Scientific reports · 2026Article
- Assessing personality using zero-shot generative AI scoring of brief open-ended text.Nature human behaviour · 2026Article
- Profiles and Temporal Dynamics of Personality-Related Language in a 16-year Professional Email Archive: A Subject-Specific Study (2008-2024).Journal for person-oriented research · 2026Article
- Language-based personality assessment from life narratives: a focus on model interpretability and efficiency.Frontiers in artificial intelligence · 2026Article
- From direct scoring to cue integration: big five prediction from spoken responses to a picture-based self-projection task.Frontiers in psychology · 2026Article
- From free association to free parameters: machine-learning empowers artificial intelligence models to rate the affective-relational aspects of narratives like an expert psychologist.Frontiers in digital health · 2026Article
- Intersection of Big Five Personality Traits and Substance Use on Social Media Discourse: AI-Powered Observational Study.Journal of medical Internet research · 2025Observational
- EEG Sensor-Based Computational Model for Personality and Neurocognitive Health Analysis Under Social Stress.Sensors (Basel, Switzerland) · 2025Article
- Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction.Journal of medical Internet research · 2025Article
- Leveraging large language models for automated depression screening.PLOS digital health · 2025Article
- Predicting MBTI personality of YouTube users.Scientific reports · 2025Article
- AI can outperform humans in predicting correlations between personality items.Communications psychology · 2025Article
- Article
- Static network structure cannot stabilize cooperation among large language model agents.PloS one · 2025Article
- Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Large language models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately infer the psychological dispositions of social media users and whether their ability to do so varies across socio-demographic groups. Specifically, we test whether GPT-3.5 and GPT-4 can derive the Big Five personality traits from users' Facebook status updates in a zero-shot learning scenario. Our results show an average correlation of
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