Emotional Evolution of Social Media Users in Public Health Emergencies and the Interaction between Emotion and Information Behavior
The mental health of the public in unexpected public health emergencies has become an important issue in health discourse worldwide. This research innovatively uses the "qualitative+quantitative" analytical method to explore the emotional characteristics and information behavior of social media users in douban psychological topics during COVID-19 and the post COVID-19 era,aiming to promote public mental health and provide empirical reference and guidance for coping with similar emergencies. Research has found that user information behavior is influenced priorly by self-regulation motivation and social support motivation,and an important factor that drives emotional evolution is the amplification effect of event resonance and behavior co-frequency. During the sway of the pandemic,users often exhibited sad emotions represented by anxiety,while positive emotions such as "hope" also played a regulatory role.There is a complex interactive relationship between public emotions and behaviors,forming an evolutionary chain of multi-link interactions between events,motivations,behaviors,and emotions,in which information characteristics also play an important role.
public health emergenciesthe COVID-19 pandemicsocial mediaemotioninformation behavior