分析社交媒体语言发现认知晨昏节律影响语义探索模式。
Circadian Modulation of Semantic Exploration in Social Media Language
- 用预训练模型嵌入文本，以语义熵衡量语言探索与利用。
- 早晨局部语义探索强，傍晚全局语义多样性高，符合富者愈富规律。
- 该现象由生物节律驱动，与情绪无关，适合认知科学与社会计算研究者。
人类认知具有显著的昼夜节律特征，但其对高维语义行为的影响尚不清楚。基于大规模Reddit数据，我们通过将文本嵌入预训练Transformer模型，并以语义熵作为语言探索-利用的指标，量化了语言使用的昼夜变化。结果表明，语义熵存在稳定的昼夜节律，可被季节性光照线索同步。区分局部与全局语义熵后发现系统性时间分离：局部语义探索在早晨达到峰值，反映对语义空间更广泛的探索；而全局语义多样性在一天后段更高，因内容趋于集中于已有话题，符合“富者愈富”动态。该现象无法由情感或情绪效价解释，说明语义探索是独立于情绪的认知维度。观察到的时间结构与已知的神经调节系统日周期一致，提示生物昼夜节律延伸至语义领域。
原文摘要 · Abstract (English)
Human cognition exhibits strong circadian modulation, yet its influence on high-dimensional semantic behavior remains poorly understood. Using large-scale Reddit data, we quantify time-of-day variation in language use by embedding text into a pretrained transformer model and measuring semantic entropy as an index of linguistic exploration-exploitation, for which we show a robust circadian rhythmicity that could be entrained by seasonal light cues. Distinguishing between local and global semantic entropy reveals a systematic temporal dissociation: local semantic exploration peaks in the morning, reflecting broader exploration of semantic space, whereas global semantic diversity peaks later in the day as submissions accumulate around already established topics, consistent with "rich-get-richer" dynamics. These patterns are not explained by sentiment or affective valence, indicating that semantic exploration captures a cognitive dimension distinct from mood. The observed temporal structure aligns with known diurnal patterns in neuromodulatory systems, suggesting that biological circadian rhythms extend to the semantic domain.
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