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 …

We identify three gaps that limit the utility and obstruct the progress of computational text
analysis methods (CTAM) for social science research. First, we contend that CTAM …

The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …

Technologies are changing at a rapid pace and in unpredictable ways. The scale of their
impact is also far-reaching. Technologies such as artificial intelligence, data analytics …

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 …

This article examines the intersection of two structural developments: the growth of
surveillance and the rise of “big data.” Drawing on observations and interviews conducted …

Science rarely proceeds beyond what scientists can observe and measure, and sometimes
what can be observed proceeds far ahead of scientific understanding. The twenty-first …

Background 'Big data'has great potential to help address the global health challenge of
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …

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 …

Calculation and quantification have been critical features of modern societies, closely linked
to science, markets, and administration. In the past thirty years, the pace, purpose, and …