Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …

Geospatial social media (GSM) data has been increasingly used in public health due to its
rich, timely, and accessible spatial information, particularly in infectious disease research …

Doctors and nurses in these weeks and months are busy in the trenches, fighting against a
new invisible enemy: Covid-19. Cities are locked down and civilians are besieged in their …

Background With restrictions on movement and stay-at-home orders in place due to the
COVID-19 pandemic, social media platforms such as Twitter have become an outlet for …

Microblogging has become one of the most useful tools for sharing everyday life events and
news and for expressing opinions about those events. As Twitter posts are short and …

Background The exposure and consumption of information during epidemic outbreaks may
alter people's risk perception and trigger behavioral changes, which can ultimately affect the …

The words we use to talk about the current epidemiological crisis on social media can inform
us on how we are conceptualizing the pandemic and how we are reacting to its …

Social data has shown important role in tracking, monitoring and risk management of
disasters. Indeed, several works focused on the benefits of social data analysis for the …

In communication research, topic modeling is primarily used for discovering systematic
patterns in monolingual text corpora. To advance the usage, we provide an overview of …

The big data revolution presents an exciting frontier to expand public health research,
broadening the scope of research and increasing the precision of answers. Despite these …