Topic models have been applied to everything from books to newspapers to social media
posts in an effort to identify the most prevalent themes of a text corpus. We provide an in …

Since December 2019, COVID-19 has been spreading rapidly across the world. Not
surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the …

This article investigates the prevalence of high and low quality URLs shared on Twitter when
users discuss COVID-19. We distinguish between high quality health sources, traditional …

Nearly 50 million people globally have been internally displaced due to conflict, persecution
and human rights violations. However, the study of internally displaced persons—and the …

This paper introduces a special issue of International Migration Review and overviews the
promise and limitations of organic data for migration research. We explain different …

Predicting forced displacement is an important undertaking of many humanitarian aid
agencies, which must anticipate flows in advance in order to provide vulnerable refugees …

As the volume and complexity of forced movement continues to grow, there is an urgent
need to use new data sources to better understand emerging crises. Organic sources, like …

Background This paper shows that Big Data and the so-called tools of digital demography,
such as Google Trends (GT) and insights from social networks such as Instagram, Twitter …

With the consolidation of the culture of evidence-based policymaking, the availability of data
has become central to policymakers. Nowadays, innovative data sources offer an …

This paper explores the use of big data in understanding population movements in the
context of environmental change, with particular attention to publicly available information …