Multilingual Misinformation

Multilingual misinformation research focuses on understanding how false narratives spread across languages and cultures, aiming to develop automated detection and classification methods. Current efforts utilize natural language processing (NLP) techniques, including topic modeling (like BERTopic) and transformer-based models (e.g., multilingual BERT), to analyze large multilingual datasets of news articles and social media posts, identifying linguistic cues and framing strategies employed in disinformation campaigns. This work is crucial for improving fact-checking capabilities, mitigating the spread of harmful narratives, and informing the design of tools to combat online disinformation on a global scale.