The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …

This study explored both the evolution and the integration of digital competencies within the
context of open innovation, emphasizing the impact of technological advances across …

In recent years, the problem of rumours on online social media (OSM) has attracted lots of
attention. Researchers have started investigating from two main directions. First is the …

With the rapid growth of social networks and technology, knowing what news to believe and
what not to believe become a challenge in this digital era. Fake news is defined as provably …

The spread of misinformation on social media can lead to inappropriate behaviors that can
make disasters worse. In our study, we focused on tweets containing misinformation about …

With the continuing spread of misinformation and disinformation online, it is of increasing
importance to develop combating mechanisms at scale in the form of automated systems …

Sexism has become an increasingly major problem on social networks during the last years.
The first shared task on sEXism Identification in Social neTworks (EXIST) at IberLEF 2021 is …

Social media is a concept developed to link people and make the globe smaller. But it has
recently developed into a center for sexist memes that target especially women. As a result …

The proliferation of fake news has emerged as a significant threat to the integrity of
information dissemination, particularly on social media platforms. Misinformation can spread …

In recent years, social media has significantly influenced how we share information and
exchange messages. However, a significant issue arises from the fast dissemination of …