Gallino Lucila, Carrillo Facundo, Cecchi Guillermo A
Immunopharmacology Lab, IQUIBICEN, Buenos Aires University, Buenos Aires, Argentina.
Applied Artificial Intelligence Lab, ICC, CONICET, Buenos Aires, Argentina.
Front Integr Neurosci. 2019 Feb 19;13:5. doi: 10.3389/fnint.2019.00005. eCollection 2019.
The menstrual cycle affects many aspects of female physiology, from the immune system to behavioral and emotional regulation. It is unclear however if these physiological changes are reflected in everyday, naturalistic language production, and moreover whether these putative effects can be consistently quantified. Using a novel approach based on social networks, we characterized linguistic expression differences in female and male volunteers over the course of several months, while having no physiological or reported information of the female participants' menstrual cycles. We used a simple algorithm to quantify the linguistic affect intensity of 418 (184 females and 234 males) subjects using their social networks production and found a 7-day modulatory cycle of affect intensity that corresponds to labor-week fluctuations, with no significant difference by biological sex, and a 28-day cycle over which females are significantly different than males. Our results are consistent with the hypothesis that the menstrual cycle modulates affective features of naturalistic linguistic production.
月经周期会影响女性生理的许多方面，从免疫系统到行为和情绪调节。然而，目前尚不清楚这些生理变化是否反映在日常自然语言表达中，此外，这些假定的影响是否能够被持续量化。我们采用一种基于社交网络的新方法，对女性和男性志愿者在数月内的语言表达差异进行了特征分析，同时我们没有获取女性参与者月经周期的生理信息或她们所报告的相关信息。我们使用一种简单算法，通过418名（184名女性和234名男性）受试者在社交网络上的发文来量化其语言情感强度，发现情感强度存在一个与工作周波动相对应的7天调节周期，按生物学性别无显著差异，还有一个28天的周期，在此周期内女性与男性存在显著差异。我们的结果与月经周期调节自然语言表达情感特征这一假设相符。
