The paper proposes a methodology based on Natural Language Processing (NLP) and
Sentiment Analysis (SA) to get insights into sentiments and opinions toward COVID-19 …

Recent migration has made traditional destination cities so diverse that many conventional
social science concepts and methods have become inadequate to the task of understanding …

In the more general climate of post-truth-a social trend reflecting a disregard for reliable
ways of knowing what is true, mostly acted through massive use of misinformation and …

This study adopts a longitudinal approach to analyse the attribution of blame in online
comments for the emergence, continuation and consequences of COVID-19. It uses an …

Machine Learning methods have been used to combat COVID-19 since the pandemic has
started in year 2020. In this regard, most studies have focused on detecting and identifying …

Social media platforms play a significant role in disseminating information. The effectiveness
of posts published on such platforms is often measured by the extent to which those posts …

The COVID–19 pandemic, like other global phenomena such as climate change, food
security and democracy and human rights, arise from within confined geographical and …

In 2020, the Italian city of Milan became one of the first epicenters of COVID-19 outside of
Asia. Its decision-makers were ill-prepared in managing the outbreak. This research …