Language embeds information about social, cultural, and political values people hold. Prior
work has explored social and potentially harmful biases encoded in Pre-Trained Language …

Automated extraction of quantitative linguistic features has the potential to predict objectively
the onset and progression of psychosis. These linguistic variables are often considered to …

The problem of comparing two bodies of text and searching for words that differ in their
usage between them arises often in digital humanities and computational social science …

We introduce BERTweetFR, the first large-scale pre-trained language model for French
tweets. Our model is initialized using the general-domain French language model …

Analysis of language geography is increasingly being used for studying spatial patterns of
social dynamics. This trend is fueled by social media platforms such as Twitter which provide …

The creation of social ties is largely determined by the entangled effects of people's
similarities in terms of individual characters and friends. However, feature and structural …

The socioeconomic background of people and how they use standard forms of language are
not independent, as demonstrated in various sociolinguistic studies. However, the extent to …

As the Internet grows in number of users and in the diversity of services, it becomes more
influential on peoples lives. It has the potential of constructing or modifying the opinion, the …

The socioeconomic status of people depends on a combination of individual characteristics
and environmental variables, thus its inference from online behavioral data is a difficult task …

Cultural areas represent a useful concept that cross-fertilizes diverse fields in social
sciences. Knowledge of how humans organize and relate their ideas and behavior within a …