To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

Many significant challenges exist for the mental health field, but one in particular is a lack of
data available to guide research. Language provides a natural lens for studying mental …

Researchers in fields such as sociology, demography and public health, have used data
from social media to explore a diversity of questions. In public health, researchers use data …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

In this paper we focus on the connection between age and language use, exploring age
prediction of Twitter users based on their tweets. We discuss the construction of a fine …

Understanding the demographics of users of online social networks has important
applications for health, marketing, and public messaging. In this paper, we predict the …

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 …

Existing models for social media personal analytics assume access to thousands of
messages per user, even though most users author content only sporadically over time …

While user attribute extraction on social media has received considerable attention, existing
approaches, mostly supervised, encounter great difficulty in obtaining gold standard data …