The text discusses the use of emotions and various approaches for detecting deepfake videos. It also mentions the need for protection against blackmail and references a specific detection method that uses frequency analysis. The ultimate goal is to improve the binary classification of deepfake videos, with current detection rates around 80%. Different methods, such as machine learning and visual feature-based approaches, are explored in this field.