Disinformation Content

Disinformation research focuses on understanding and mitigating the spread of false or misleading information, particularly online. Current efforts concentrate on developing and improving automated detection methods using large language models (LLMs) like Llama and GPT, often employing techniques such as fine-tuning, supervised contrastive learning, and ensemble methods, to identify disinformation across various languages and modalities (text, images, video). This research is crucial for safeguarding public discourse and democratic processes, with applications ranging from social media monitoring to enhancing the accuracy of marketing research and news analysis. The field faces ongoing challenges in dealing with evolving disinformation tactics and the limitations of current models in handling nuanced forms of manipulation.