The article explores the challenges of detecting and combating online fake news, emphasizing how false information spreads more rapidly and widely than accurate content. It discusses how AI and machine learning, which have been effective in fighting spam, can be adapted to identify and counter fake news, but also highlights the limitations, such as evolving tactics by misinformation spreaders and the potential for AI to amplify societal biases. The paper also warns of the increasing difficulty in distinguishing between real and fake content, particularly with the rise of AI-generated deepfakes, leading to what researchers call “reality vertigo.