For a heterodox computational social science

Social science. Computational social science.

Sociolinguistics for Computational Social Science

In recent years, a major growth area in applied natural language processing has been the application of automated techniques to massive datasets in order to answer questions about society, and by extension people. Sociolinguistics, which combines anthropology, statistics and linguistics (e.g. Labov 1994, 2001), studies linguistic data in order to answer key questions about the relationship of l...

Computational Social Science Track

For the second time, the #Microposts workshop features a track to highlight social science perspectives on micro communication structures in online environments. This paper introduces the #Microposts2016 (Computational) Social Science Track, which all contribute to connecting research methods and approaches in computer science and social science. By providing a forum for closer interaction betw...

Online Experiments for Computational Social Science

Experiments are the gold standard for establishing causal relationships. While Web-based experiments (“A/B tests”) have routinely been used to assess alternative ranking models or user interface designs, they have become increasingly popular for answering important questions in the social sciences. This tutorial teaches attendees how to design, plan, implement, and analyze online experiments. F...

Computational Social Science: Toward a Collaborative Future∗

Fifteen years ago, as an undergraduate computer science student in the UK, I read a popular science article (Matthews, 1999) profiling the research of my now colleague, Duncan Watts. This article, about the science of small-world networks, changed my life. To understand why, though, it’s necessary to know that in the UK, there is (or at least was during the 1980s and 1990s) a profound ”them-ver...