Online harm spreaders are a multiplicity of users acting maliciously on social media by disseminating misinformation, propagating rumors or even making hateful comments targeting individuals or groups. Among these users are fake news spreaders, which are likely to distribute such type of news. The potential social harm of these users can be determined by examining the intuitions behind the content they generate that potentially enclose immoral behaviors. Therefore, the goal of this work is to examine the moral foundations of fake news spreaders. A dictionary-based tool for extracting moral content from texts is used to capture intuitive judgments of morally relevant information in text messages.