This paper examines changes in people's mobility over a 7-month period (from March 1st to
September 30th, 2020) during the COVID-19 pandemic in the US using longitudinal models …

Introduction Identifying predictors of mental health symptoms after the initial phase of the
pandemic may inform the development of targeted interventions to reduce its negative long …

Through a content analysis of 106 organizational YouTube videos during COVID-19 from
March to September 2020 and sentiment analysis of the 9398 audiences' comments, this …

Amid the COVID‐19 pandemic, citizens' compliance with government preventive measures
was one of the top policy priorities for governments worldwide. This study engages with …

During the COVID-19 pandemic, social media use increased significantly, and news media
also reported increased levels of social shaming for behaviors that were now deemed high …

The long-term uncertainty and persistence of isolation caused by the COVID-19 pandemic
created prolonged emotional distress individually and collectively. As the pandemic …

Most current affect scales and sentiment analysis on written text focus on quantifying
valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex …

As a promising approach to stop the escalation of the pandemic, COVID-19 vaccine
promotion is becoming a challenging task for authorities worldwide. The purpose of this …

This study aims to specify the effects of the COVID-19 pandemic on individual subjective
well-being in Japan and to clarify the mechanism generating social inequality of subjective …

Objective When people think about negative events that may occur in the future, they tend to
overestimate their emotional reactions, and these “affective forecasts” can influence their …