Propaganda Content

Propaganda detection research focuses on identifying and classifying manipulative communication techniques across various media, aiming to mitigate the spread of misinformation and its societal impact. Current efforts leverage large language models (LLMs) like GPT-4 and RoBERTa, often incorporating multimodal analysis (text and image) and advanced techniques such as inverse reinforcement learning to understand the strategic deployment of propaganda. This field is crucial for developing tools to combat disinformation and enhance the reliability of information sources, with ongoing work emphasizing the need for high-quality, multilingual datasets and improved model performance in low-resource language settings.