Over the past two decades, there has been growing scholarly interest in nonviolent
resistance—a method of conflict in which unarmed people mobilize collective protests …

Around the world, people engage in social protests aimed at addressing major societal
problems. Certain protests have led to significant progress, yet other protests have resulted …

A sweeping overview of civil resistance movements around the world that explains what they
are, how they work, why they are often effective, and why they can fail. Civil resistance is a …

We provide an introduction of the functioning, implementation, and challenges of
convolutional neural networks (CNNs) to classify visual information in social sciences. This …

Over the past decade, a large number of extremist and hate groups have turned to internet
platforms to inspire mass violence. Currently, there is little reliable evidence on how such …

Larger protests are more likely to lead to policy changes than small ones are, but whether or
not attendance estimates provided in news or generated from social media are biased is an …

To advance our understanding of social media effects, it is crucial to incorporate the
increasingly prevalent visual media into our investigation. In this article, we discuss the …

We conduct the first large-scale study of image-based political misinformation on Facebook.
We collect 13,723,654 posts from 14,532 pages and 11,454 public groups from August …

A cutting-edge appraisal of revolution and its future. On Revolutions, co-authored by six
prominent scholars of revolutions, reinvigorates revolutionary studies for the twenty-first …

Interpretability is an important property for visual models as it helps researchers and users
understand the internal mechanism of a complex model. However, generating semantic …