The emergence of big data and computational tools has introduced new possibilities for
using large-scale textual sources in sociological research. Recent work in sociology of …

The word embedding association test (WEAT) is an important method for measuring
linguistic biases against social groups such as ethnic minorities in large text corpora. It does …

Since the beginning of this millennium, data in the form of human-generated text in a
machine-readable format has become increasingly available to social scientists, presenting …

Modelling differential stress expressions in urban and rural regions in China can provide a
better understanding of the effects of urbanization on psychological well-being in a country …

Public sentiment (the opinions, attitudes or feelings expressed by the public) is a factor of
interest for government, as it directly influences the implementation of policies. Given the …

Background During the COVID-19 pandemic, US public health authorities and county, state,
and federal governments recommended or ordered certain preventative practices, such as …

The COVID-19 pandemic has been accompanied by aninfodemic'--of accurate and
inaccurate health information across social media. Detecting misinformation amidst …

Short texts generated by individuals in online environments can provide social and
behavioral scientists with rich insights into these individuals' internal states. Trained manual …

As artificial intelligence changes nearly every facet of modern society, we should not be
surprised that it is changing how we do social science. By leveraging the power of machine …

This is the second workshop organized on the topic of COVID-19 in conjunction with an*
ACL conference. The first took place in conjunction with ACL 2020. As a result of …