News Consumption

News consumption research focuses on understanding how individuals engage with news, particularly in the digital age, aiming to improve news recommendation and combat misinformation. Current research employs various machine learning models, including ensemble methods, large language models, and transformer-based architectures, to enhance news recommendation systems, detect propaganda and fake news, and mitigate echo chambers. These efforts are significant because they address critical societal challenges related to information quality, political polarization, and the spread of disinformation, offering potential improvements to news delivery and citizen engagement.