Social media have become very popular as the number of users, organizations and
research associated continue to increase rapidly. As such, user profiling becomes prominent …

Multimodal fake news detection, which aims to detect fake news across vast amounts of
multimodal data in social networks, greatly contributes to identifying potential risks on the …

This paper describes the contribution of team GESIS-DSM to the Perspective Argument
Retrieval Task, a task on retrieving socio-culturally relevant and diverse arguments for …

The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …

This paper proposes a deep neural network (DNN) approach for detecting fake profiles in
social networks. The DNN model is trained on a large dataset of real and fake profiles and is …

Fake news detection (FND) is an application-oriented hotspot in the field of artificial
intelligence, whose task is to make neural networks to judge the authenticity of given news …

The networks of digital communication, including social media, have become the primary
means for information dissemination. While these networks offer vast benefits, such as fast …

The social and implicit nature of human communication ramifies readers' understandings of
written sentences. Single gold-standard interpretations rarely exist, challenging …

Considering the amount of false information spread rapidly, identifying the spreaders of false
information is significant and has become a need of time. Although some models detect the …

The freedom and acceptance of feminists' activities in Ghana hit several rocks after the first
African Feminist Congress in Ghana in 2004. In Ghana, research on gender advocacy and …