mlsanityData to 7 Oct 2026

PANDORA Talks: Personality and Demographics on Reddit

arXiv 2004.04460 ↗First posted 9 Apr 2020cs.CL cs.CY cs.SIcited by 40

Not on the map. Why?

Abstract (arXiv)

Personality and demographics are important variables in social sciences, while in NLP they can aid in interpretability and removal of societal biases. However, datasets with both personality and demographic labels are scarce. To address this, we present PANDORA, the first large-scale dataset of Reddit comments labeled with three personality models (including the well-established Big 5 model) and demographics (age, gender, and location) for more than 10k users. We showcase the usefulness of this dataset on three experiments, where we leverage the more readily available data from other personality models to predict the Big 5 traits, analyze gender classification biases arising from psycho-demographic variables, and carry out a confirmatory and exploratory analysis based on psychological theories. Finally, we present benchmark prediction models for all personality and demographic variables.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 6; 2023: 5; 2024: 10; 2025: 11; 2026: 4.

40 papers.

Sort:

By area:

  1. 2024Designing a Dashboard for Transparency and Control of Conversational AIcited by 43
  2. 2023A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challengescited by 41
  3. 2023RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generationcited by 25
  4. 2024LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Modelcited by 21
  5. 2022Symptom Identification for Interpretable Detection of Multiple Mental Disorderscited by 20
  6. 2025YoChameleon: Personalized Vision and Language Generationcited by 20
  7. 2022Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detectioncited by 14
  8. 2024"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Modelscited by 14
  9. 2021Psycholinguistic Tripartite Graph Network for Personality Detectioncited by 12
  10. 2022Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Featurescited by 10
  11. 2024Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialoguescited by 7
  12. 2024PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traitscited by 6
28 more
  1. 2024EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detectioncited by 6
  2. 2024Continuous Output Personality Detection Models via Mixed Strategy Trainingcited by 5
  3. 2022Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnosescited by 4
  4. 2024Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversationscited by 4
  5. 2025Evaluating LLM Alignment on Personality Inference from Real-World Interview Datacited by 4
  6. 2026Beyond Fixed Psychological Personas: State Beats Trait, but Language Models are State-Blindcited by 4
  7. 2022On Text-based Personality Computing: Challenges and Future Directionscited by 3
  8. 2024StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcementcited by 3
  9. 2021Multitask Learning for Emotion and Personality Detectioncited by 2
  10. 2021Inferred vs traditional personality assessment: are we predicting the same thing?cited by 2
  11. 2025Twenty Years of Personality Computing: Threats, Challenges and Future Directionscited by 2
  12. 2021User Factor Adaptation for User Embedding via Multitask Learningcited by 1
  13. 2023You Are What You Talk About: Inducing Evaluative Topics for Personality Analysiscited by 1
  14. 2022Monte Carlo Tree Search for Interpreting Stress in Natural Languagecited by 0
  15. 2023Multi-generational labour markets: data-driven discovery of multi-perspective system parameters using machine learningcited by 0
  16. 2023Extracting Psychological Indicators Using Question Answeringcited by 0
  17. 2024Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networkscited by 0
  18. 2025Traits of a Leader: User Influence Level Prediction through Sociolinguistic Modelingcited by 0
  19. 2025From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Mediacited by 0
  20. 2025Quantifying Feature Importance for Online Content Moderationcited by 0
  21. 2025A Multi-Component AI Framework for Computational Psychology: From Robust Predictive Modeling to Deployed Generative Dialoguecited by 0
  22. 2025Large Language Model Agent Personality and Response Appropriateness: Evaluation by Human Linguistic Experts, LLM-as-Judge, and Natural Language Processing Modelcited by 0
  23. 2025Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inferencecited by 0
  24. 2025Evaluating Online Moderation Via LLM-Powered Counterfactual Simulationscited by 0
  25. 2025Mind Reading or Misreading? LLMs on the Big Five Personality Testcited by 0
  26. 2026AI YOU Town: Make Friends and Money with Your Digital Twincited by 0
  27. 2026Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfacescited by 0
  28. 2026GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphscited by 0