In recent years, studies related to topic derivation in Twitter have gained a lot of interest from
businesses and academics. The interconnection between users and information has made …

The rise of social media has ignited an unprecedented circulation of false information in our
society. It is even more evident in times of crisis, such as the COVID-19 pandemic. Fact …

Rapid growth over the past two decades in digitized textual information represents untapped
potential for methodological innovations in the adaptation governance literature that draw on …

This paper illustrates five different techniques to assess the distinctiveness of topics, key
terms and features, speed of information dissemination, and network behaviors for Covid19 …

Conspiracies are consequential and social, yet online conspiracy groups that consist of
individuals (and bots) seeking to explain events or a system have been neglected in …

One challenge that social media platforms are facing nowadays is hate speech. Hence,
automatic hate speech detection has been increasingly researched in recent years-in …

Inferring users' interests from their activities on social networks has been an emerging
research topic in the recent years. Most existing approaches heavily rely on the explicit …

The COVID-19 Omicron variant, reported to be the most immune-evasive variant of COVID-
19, is resulting in a surge of COVID-19 cases globally. This has caused schools, colleges …

Online misinformation has been a serious threat to public health and society. Social media
users are known to reply to misinformation posts with counter-misinformation messages …

Drawing on Italian tweets, we employ textual data and machine learning techniques to build
new real-time measures of consumers' inflation expectations. First, we select keywords to …