Parenting on a digital leash: time pressure, parenting guilt, and emotional exhaustion in Chinese dual-earner families.

In the digital era, the collection, use, and analysis of social media data have created new opportunities across diverse domains. For example, it can be used to monitor public opinion, track consumer behavior, and follow emerging social issues. In the field of mental health, social media likewise provides a novel pathway for the early identification of problems. Given the limited accessibility of traditional mental health services and the reluctance of many individuals to actively seek professional help when experiencing psychological distress, exploring alternative approaches to detection and intervention is particularly important. The emergence of social media platforms offers a promising avenue to address this challenge []. Social media has become an important channel for individuals to express emotions [,], document daily life, and reflect psychological states [], with its texts often embedding psychological cues such as emotional fluctuations, cognitive biases, and social behavior patterns [-]. For instance, De Choudhury et al [], using Twitter data, demonstrated that users’ linguistic features and behavioral patterns can reveal their psychological states, highlighting the potential of social media texts for understanding depressive symptoms. Subsequent studies have extended this line of research. Zhu et al [] and Yu et al [] analyzed discussions on anxiety and depression disorders on Sina Weibo and identified their linguistic features, further supporting the capacity of social media data to reflect collective perceptions and attitudes toward mental health issues.