Persuasion Technique Detection

Persuasion technique detection aims to automatically identify persuasive strategies within text, primarily focusing on news articles and social media posts to combat misinformation. Current research heavily utilizes transformer-based multilingual models, such as variations of BERT and XLM-RoBERTa, often fine-tuned on datasets of tweets and news articles, with ensemble methods and data augmentation techniques improving performance. This field is crucial for mitigating the spread of misleading information online and has significant implications for fact-checking, media analysis, and the development of more robust and ethical AI systems.