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

[Submitted on 4 Jun 2026 (v1), last revised 12 Aug 2026 (this version, v2)]

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Abstract: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: this https URL.

Submission history

From: Amirhossein Ghaffari [view email]
[v1] Thu, 4 Jun 2026 11:20:10 UTC (4,112 KB)
[v2] Wed, 12 Aug 2026 10:32:24 UTC (4,112 KB)