Approaches for Fake Content Detection: Strengths and Weaknesses to Adversarial Attacks

In the last few years, we have witnessed an explosive growth of fake content on Internet which has significantly affected veracity information many social platforms. Much this disruption been caused by proliferation advanced machine and deep learning methods. turn, platforms using same technological methods in order to detect content. However, there is understanding strengths weaknesses these detection article, describe examples approaches that can be used different types We also discuss characteristics potential for adversarial attacks could reduce accuracy detection. Finally, identify some future research challenges area.