Science rarely proceeds beyond what scientists can observe and measure, and sometimes
what can be observed proceeds far ahead of scientific understanding. The twenty-first …

The concept of work as a calling has the potential to provide unique and powerful insights
into how individuals relate to their work and organizations. However, although this concept …

Using word embeddings from 850 billion words in English-language Google Books, we
provide an extensive analysis of historical change and stability in social group …

We argue word embedding models are a useful tool for the study of culture using a historical
analysis of shared understandings of social class as an empirical case. Word embeddings …

Understanding how words change their meanings over time is key to models of language
and cultural evolution, but historical data on meaning is scarce, making theories hard to …

A word's sentiment depends on the domain in which it is used. Computational social science
research thus requires sentiment lexicons that are specific to the domains being studied. We …

A guide for using computational text analysis to learn about the social world From social
media posts and text messages to digital government documents and archives, researchers …

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) …

Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in
Ferguson, Missouri, the protest hashtag# BlackLivesMatter has amplified critiques of …

This paper is an inquiry into the process of defining the parameters of economic geography
research from both a methodological and epistemological point of view. I ask what it means …