Neural network models have achieved state-of-the-art performances in a wide range of
natural language processing (NLP) tasks. However, a long-standing criticism against neural …

Quantitative and qualitative studies of science have historically played radically different
roles with opposing epistemological commitments. Using large-scale text analysis, we see …

As large corpora of digitized text become increasingly available, researchers are
rediscovering textual data's potential fruitfulness for inquiries into social and cultural …

Since the beginning of this millennium, data in the form of human-generated text in a
machine-readable format has become increasingly available to social scientists, presenting …

The digital and computational revolutions have improved the prospects for analyzing the
dynamics of large groups of interacting individuals. Digital trace data provide the large …

" The Handbook of Computational Social Science is a comprehensive reference source for
scholars across multiple disciplines. It outlines key debates in the field, showcasing novel …

Abstract Machine reading (MR) is essential for unlocking valuable knowledge contained in
millions of existing biomedical documents. Over the last two decades,, the most dramatic …

Ideas are both a promising and challenging object for political and social science, especially
in the case of Russian studies. The challenges and promises are of methodological and …

Polarization has increased substantially in political discourse, contributing to a widening
partisan divide. In this paper, we analyzed large-scale, real-world language use in Reddit …

Social science is witnessing tremendous growth of data available on the Internet regarding
social phenomena; however, social science students are typically not prepared for …