The ongoing digital era is significantly impacted by the dissemination of fake news and disinformation. Addressing this issue involves delving into the realm of Artificial Intelligence, where Natural Language Processing (NLP) stands out as one of the most active areas capable of contributing to solutions. In this paper, we present an analysis grounded in argument mining, with a specific focus on understanding the creation of fake pieces of content in social media. Our research reveals that deceptive narratives in social media often incorporate a substantial component of arguments. This finding not only sheds light on the intricacies of misinformation but also provides valuable insights for future research in combating this pervasive issue.