We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

From Nobel Prize–winning economist and New York Times bestselling author Robert
Shiller, a groundbreaking account of how stories help drive economic events—and why …

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 …

In 2015, Europe faced the arrival of over 1.25 million refugees fleeing from war-affected
countries. The public mainly learned about this issue through domestic media. Through the …

This study examines dynamic communication processes of political misinformation on social
media focusing on three components: the temporal pattern, content mutation, and sources of …

Large networks are becoming a widely used abstraction for studying complex systems in a
broad set of disciplines, ranging from social-network analysis to molecular biology and …

The rise of social media is changing how evaluative judgments about organizations are
produced and disseminated in the public domain. In this article we discuss how these …

The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

Internet memes are increasingly used to sway and manipulate public opinion. This prompts
the need to study their propagation, evolution, and influence across the Web. In this paper …