Hybrid transformer–fuzzy framework for interpretable sentiment classification in deepfake social media content (opens in new tab)

With the increasing prevalence of deepfake content across social media, there is a growing challenge to trust online—especially when it comes to analyzing user attitude towards manipulative pieces of text. However, with millions of tweets generated every day, separating genuine sentiments from artificial narratives is a challenging area in sentiment analysis research. While previous models are often highly accurate, they depend on feature engineering and act like a black-box system, compromis...