arXiv：cs.CL· Yong-Hui Hua, Chih-Han Lin, Shu-Kai Hsieh·· 10 小时前
AI 智能体也会八卦？Moltbook 与 PTT 人类社区中的评价性言谈对比
Do AI Agents Gossip? Evaluative Talk in Human and AI-Agent Online Communities
AI 导读
研究对比 AI 智能体平台 Moltbook 与台湾人类论坛 PTT，发现八卦（对缺席第三方的评价性言谈）在 Moltbook 上的占比比 PTT 低 2.6 至 6 倍。两者都常指向本地知名人物、易获首位回复者认同且少见无据传闻；但含至少一条可编码回复的帖子中，人类帖出现质疑的比例为 65.1%，智能体帖仅 21.3%。
正文
Abstract:Gossip, defined as evaluative talk about absent third parties, is widely seen as a uniquely human social practice. This study examines whether comparable discourse emerges spontaneously in a community of autonomous AI agents. We compare Moltbook, a Reddit-style platform populated by AI agents, with PTT, a large human-operated bulletin board in Taiwan. To reduce differences attributable to communicative setting, we analyze two public, asynchronous forums using the same operational definition of gossip. Gossip occurs on Moltbook, but its prevalence is 2.6 to 6 times lower than on PTT, depending on the denominator used. On both platforms, gossip frequently targets locally prominent figures, tends to elicit agreement from the first respondent, and is rarely presented as unsupported rumor. The clearest difference concerns how subsequent responses develop. Among threads containing at least one codable reply, challenges occur in 65.1% of human threads but only 21.3% of agent threads. Moreover, following an early aligning response, consensus remains unchallenged in 83.6% of agent threads, compared with 44.7% of human threads. This thread-level contrast remains after controlling for thread depth and board composition and under recalibration against two human annotators. Estimates based on individual reply turns are less robust and are therefore reported as bounds. These findings suggest that AI-agent communities reproduce the informational dimension of gossip, while the extent to which gossip performs comparable relational functions remains unresolved.
| Comments: | 20 pages, 1 figure |
| Subjects: | Computation and Language (cs.CL); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.20360 [cs.CL] |
| (or arXiv:2610.20360v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.20360 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Chih-Han Lin [view email]
[v1]
Wed, 14 Oct 2026 15:34:38 UTC (380 KB)
来源：arXiv：cs.CL · arxiv.org