Misinformation has developed into a critical societal threat that can lead to disastrous
societal consequences. Although fact-checking plays a key role in combating …

Short text similarity plays an important role in natural language processing (NLP). It has
been applied in many fields. Due to the lack of sufficient context in the short text, it is difficult …

The COVID-19 pandemic has produced a flurry of online activity on social media sites. As
such, analysis of social media data during the COVID-19 pandemic can produce unique …

Purpose This paper aims to obtain the domain of the textual content generated by users of
online social network (OSN) platforms. Understanding a users' domain (s) of interest is a …

With over 300 million active users, Twitter is among the largest online news and social
networking services in existence today. Open access to information on Twitter makes it a …

As social networks are getting more and more popular day by day, large numbers of users
becoming constantly active social network users. In this way, there is a huge amount of data …

Social media has now become the de facto information source on real world events. The
challenge, however, due to the high volume and velocity nature of social media streams, is …

Social network usage is growing exponentially in the most up-to-date decade; though social
networks are becoming increasingly popular every day, many users are continuously active …

Purpose “What's happening?” around you can be spread through the very pronounced
social media to everybody. It provides a powerful platform that brings to light the latest news …

Abstract The Topic Detection Task in Twitter represents an indispensable step in the
analysis of text corpora and their later application in Online Reputation Management …