We evaluate the empirical evidence interrogating the question of whether social media
erodes social cohesion. We look at how networks, information exchange, and norms operate …

The integration of social science with computer science and engineering fields has
produced a new area of study: computational social science. This field applies …

Social media data has become crucial to the advancement of scientific understanding.
However, even though it has become ubiquitous, just collecting large-scale social media …

Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

An innovative and accessible guide to doing social research in the digital age. In just the
past several years, we have witnessed the birth and rapid spread of social media, mobile …

A proposal that we think about digital technologies such as machine learning not in terms of
artificial intelligence but as artificial communication. Algorithms that work with deep learning …

Worldwide investments in influencer marketing are growing and could reach US $101 billion
in 2020. But how can the brands shield themselves from scandals and other limitations of …

Global online platforms match firms with service providers around the world, in services
ranging from software development to copywriting and graphic design. Unlike in traditional …

More of the social world lives within electronic text than ever before, from collective activity
on the web, social media, and instant messaging to online transactions, government …