Most previous systems built to identify fake news articles rely on training data labeled with respect to the general reputation of the sources, i.e., domains/user accounts (Fogg et al., 2001; Lazer et al., 2017;<cite> Rashkin et al., 2017)</cite> . Even though some of these studies try to identify fake news based on linguistic cues, the question is whether they learn publishers' general writing style (e.g., common writing features of a few clickbaity websites) or deceptive style (similarities among news articles that contain misinformation).