Active learning (AL) attempts to maximize a model's performance gain while annotating the
fewest samples possible. Deep learning (DL) is greedy for data and requires a large amount …

Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …

False or unverified information spreads just like accurate information on the web, thus
possibly going viral and influencing the public opinion and its decisions. Fake news and …

The proliferation of fake news on social media has opened up new directions of research for
timely identification and containment of fake news and mitigation of its widespread impact on …

In the midst of today's pervasive influence of social media, automatically detecting fake news
is drawing significant attention from both the academic communities and the general public …

The topic of fake news has drawn attention both from the public and the academic
communities. Such misinformation has the potential of affecting public opinion, providing an …

Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …

How fake news goes viral via social media? How does its propagation pattern differ from
real stories? In this paper, we attempt to address the problem of identifying rumors, ie, fake …

A new era of Information Warfare has arrived. Various actors, including state-sponsored
ones, are weaponizing information on Online Social Networks to run false-information …