Author profiling from text documents has become a popular task in latest years, in natural
language applications. Author profiling is important for various domains such as advertising …

Social media provide access to behavioural data at an unprecedented scale and granularity.
However, using these data to understand phenomena in a broader population is difficult due …

With the development of social networks, a large variety of approaches have been
developed to define users' personalities based on their social activities and language use …

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 …

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 …

[EN] This overview presents the framework and results for the Author Profiling task at PAN
2013. We describe in detail the corpus and its characteristics, and the evaluation framework …

A common characteristic of communication on online social networks is that it happens via
short messages, often using non-standard language variations. These characteristics make …

Recent developments in neural language models (LMs) have raised concerns about their
potential misuse for automatically spreading misinformation. In light of these concerns …

Demographic lexica have potential for widespread use in social science, economic, and
business applications. We derive predictive lexica (words and weights) for age and gender …