Revisiting Representation Learning for Natural Language Processing from the Fundamentals for Misinformation Detection

While existing language embeddings achieve high accuracy on benchmark tasks, recent studies suggest they often struggle to distinguish true from false statements. This work argues that new representation learning and aggregation strategies are needed, especially those that adapt to misinformation's