Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

The problem of community-level information pathway prediction (CLIPP) aims at predicting
the transmission trajectory of content across online communities. A successful solution to …

Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …

The propagation of rumours on social media poses an important threat to societies, so that
various techniques for graph-based rumour detection have been proposed recently. Existing …

The emergence of the Internet as a ubiquitous technology has facilitated the rapid evolution
of social media as the leading virtual platform for communication, content sharing, and …

With the rise of social media, the rapid spread of rumors online has resulted in numerous
negative effects on society and the economy. The methods for rumor detection have …

In recent years, we witness the explosion of false and unconfirmed information (ie, rumors)
that went viral on social media and shocked the public. Rumors can trigger versatile, mostly …

We present Stanceosaurus, a new corpus of 28,033 tweets in English, Hindi and Arabic
annotated with stance towards 250 misinformation claims. As far as we are aware, it is the …

Politics is one of the most prevalent topics discussed on social media platforms, particularly
during major election cycles, where users engage in conversations about candidates and …

Machine Learning is an interesting tool for stance recognition in a large-scale context, in
terms of data size, but also regarding the topics and themes addressed or the languages …