Most NLP models today treat language as universal, even though socio-and psycholingustic
research shows that the communicated message is influenced by the characteristics of the …

Throughout history, scholars and laypeople alike have believed that our words contain
subtle clues about what we are like as people, psychologically speaking. However, the ways …

Automatic political orientation prediction from social media posts has to date proven
successful only in distinguishing between publicly declared liberals and conservatives in the …

Abstract We present Differential Language Analysis Toolkit (DLATK), an open-source python
package and command-line tool developed for conducting social-scientific language …

Abstract We analyze the Stanford Natural Language Inference (SNLI) corpus in an
investigation of bias and stereoty** in NLP data. The SNLI human-elicitation protocol …

The# MeToo movement on Twitter has drawn attention to the pervasive nature of sexual
harassment and violence. While# MeToo has been praised for providing support for self …

1Because the terms language and dialect are generally socio-political designations,
throughout this thesis we prefer the term language variety instead. In this chapter, we use …

The huge power for social influence of digital media may come with the risk of intensifying
common societal biases, such as gender and age stereotypes. Speaker's gender and age …

Content warning: this paper discusses and contains content that may be offensive or
upsetting. People express racial stereotypes through conversations with others, increasingly …

The rising popularity of social media has created valuable opportunities for researchers to
quickly and cheaply tap large amounts of data on naturalistic social interactions. One of the …