Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …

Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Increasing evidence suggests that a growing amount of social media content is generated
by autonomous entities known as social bots. In this work we present a framework to detect …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …

High levels of air pollution in China may contribute to the urban population's reported low
level of happiness,–. To test this claim, we have constructed a daily city-level expressed …

Could social media data aid in disaster response and damage assessment? Countries face
both an increasing frequency and an increasing intensity of natural disasters resulting from …

Pervasive presence of location-sharing services made it possible for researchers to gain an
unprecedented access to the direct records of human activity in space and time. This article …

Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …