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RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit

arXiv 2606.06027 ↗First posted 4 Jun 2026cs.AI cs.CL cs.LGcited by 0

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Abstract (arXiv)

Community-conditioned language model adaptation needs choices about data collection, community definition, and evaluation that are currently made independently in each study, making it hard to compare assumptions or reuse artifacts. We present RedditPersona, a modular framework that standardizes these choices: it collects Reddit posts and comments, profiles active users, partitions them under five grouping strategies (subreddit-based, graph-structural, semantic, hybrid, and interaction-based), trains a parameter-efficient adapter per strategy via QLoRA, and evaluates them under a shared metric suite spanning fluency, fidelity, distributional alignment, and community identifiability. Applied to 112 subreddits in the urban well-being domain (301,429 user profiles, 16M+ comments), we find that adapters' behavioral identifiability tracks each strategy's agreement with the subreddit baseline, and that a consistent trade-off between identifiability and distributional similarity to real text holds across all five strategies. The code and configuration files are available at: https://github.com/Ahghaffari/redditpersona.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 36 references that are in the map. First posted on arXiv 4 Jun 2026.

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References · 17

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  3. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
  4. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,077
  5. 2021MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontierscited by 470
  6. 2018From Louvain to Leiden: guaranteeing well-connected communitiescited by 385
  7. 2017Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a surveycited by 91
  8. 2025Finetuning LLMs for Human Behavior Prediction in Social Science Experimentscited by 39
  9. 2026HumanLM: Simulating Users with State Alignment Beats Response Imitationcited by 37
  10. 2025Population-Aligned Persona Generation for LLM-based Social Simulationcited by 21
  11. 2026PolicySim: An LLM-Based Agent Social Simulation Sandbox for Proactive Policy Optimizationcited by 10
  12. 2025Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detectioncited by 7
5 more
  1. 2025textttBluePrint: A Social Media User Dataset for LLM Persona Evaluation and Trainingcited by 6
  2. 2026Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Predictioncited by 3
  3. 2026A Natural Language Agentic Approach to Study Affective Polarizationcited by 2
  4. 2025Emotion Diffusion in Real and Simulated Social Graphs: Structural Limits of LLM-Based Social Simulationcited by 1
  5. 2026Constructing a Dataset to Support Agent-Based Modeling of Online Interactions: Users, Topics, and Interaction Networkscited by 1

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