Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Social media has taken an important place in the routine life of people. Every single second,
users from all over the world are sharing interests, emotions, and other useful information …

A body of literature has demonstrated that users' mental health conditions, such as
depression and anxiety, can be predicted from their social media language. There is still a …

Previous work has found strong links between the choice of social media images and users'
emotions, demographics and personality traits. In this study, we examine which attributes of …

Urban parks and green spaces are among the few places where city dwellers can have
regular contact with nature and engage in outdoor recreation. Social media data provide …

Faces play an indispensable role in human social life. At present, computer vision artificial
intelligence (AI) captures and interprets human faces for a variety of digital applications and …

Quarter-life crisis (QLC) is a popular term for developmental crisis episodes that occur
during early adulthood (18–30). Our aim was to explore what linguistic themes are …

Objective: We computationally analyze the language of social media users diagnosed with
ADHD to understand what they talk about, and how their language is correlated with users' …

Text in social media posts is frequently accompanied by images in order to provide content,
supply context, or to express feelings. This paper studies how the meaning of the entire …

This study compares self-disclosure on Facebook and Twitter through the lens of
demographic and psychological traits. Predictive evaluation reveals that language models …