Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Public health thrives on high-quality evidence, yet acquiring meaningful data on a
population remains a central challenge of public health research and practice. Social …

Proxy-based methods for annotating mental health status in social media have grown
popular in computational research due to their ability to gather large training samples …

Background Social distancing is an important component of the response to the COVID-19
pandemic. Minimizing social interactions and travel reduces the rate at which the infection …

The purpose of text geolocation is to associate geographic information contained in a
document with a set (or sets) of coordinates, either implicitly by using linguistic features …

Recently, geolocalisation of tweets has become important for a wide range of real-time
applications, including real-time event detection, topic detection or disaster and emergency …

Inferring socioeconomic attributes of social media users such as occupation and income is
an important problem in computational social science. Automated inference of such …

This paper presents the shared task for English Twitter geolocation prediction in WNUT
2016. We discuss details of task settings, data preparations and participant systems. The …

User location data is valuable for diverse social media analytics. In this paper, we address
the non-trivial task of estimating a worldwide city-level Twitter user location considering only …