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This paper compares the dynamics of challenge and repair in Moltbook, a deployed LLM agent forum, against matched Reddit communities. The study finds that Moltbook discussions exhibit significantly less threading, challenge response, and repair compared to Reddit. This suggests that LLM agents in public forums struggle to sustain the interactional processes necessary for community norm enforcement and revision.
LLM-powered forums may generate norm-aware language, but they fail to foster the crucial back-and-forth needed for communities to teach, enforce, and revise those norms.
As large language model (LLM) agents are deployed in public interactive settings, a key question is whether their communities can sustain challenge, repair, and public correction, or merely produce norm-like language. We compare Moltbook, a live deployed agent forum, with five matched Reddit communities by tracing a three-step mechanism: whether discussions create threaded exchange, whether challenges elicit a response, and whether correction becomes visible to the wider thread. Relative to Reddit, Moltbook discussions are roughly ten times less threaded, leaving far fewer chances for challenge and response. When challenges do occur, the original author almost never returns (1.2% vs. 40.9% on Reddit), multi-turn continuation is nearly absent (0.1% vs. 38.5%), and we detect no repairs under a shared conservative protocol. A non-challenge baseline within Reddit suggests this gap is linked to challenge, not simply deeper threading. These results indicate that social alignment depends not only on producing norm-aware language, but on sustaining the interactional processes through which communities teach, enforce, and revise norms. This matters for safety, because correction is increasingly decentralized, and for fairness, because communities differ in how they expect participants to engage with challenge.
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