Online News

Online news research focuses on understanding and mitigating the challenges posed by misinformation and improving news recommendation systems. Current efforts concentrate on developing robust fake news detection models, often employing ensemble learning, neural networks, and knowledge graph representations to analyze both content and social context across multiple domains and languages. This work is crucial for enhancing the reliability of online information, improving media literacy, and fostering more informed public discourse. Furthermore, research explores the evolution of online news ecosystems and the impact of recommender systems on user behavior and the spread of information.