This paper looks at the spread of online misinformation with a focus on improving digital literacy in the higher education classroom through the development of such skills amongst higher education students as well as in both pre- and in-service teacher education. The development of a mobile web application, SAMS (Source, Author, Message, Spelling) which uses a human-in-the-loop (HITL) approach to the detection of online misinformation and its evaluation are presented. SAMS leverages the fact-checking skills of humans by providing feedback on news stories about the source, author, message, and spelling and integrating this information into a machine learning model for the detection of misinformation. Preliminary findings support the idea that a combination of human and technology provides better results than technology or even humans alone with the SAMS app showing an increase in accuracy. The development of digital skills, such as called for in the DigCompEdu framework, amongst educators is also discussed. Use of the SAMS application should allow for the development digital literacy skills by increasing sensitivity to misinformation and allowing one to become fact-checkers on their own. In conclusion, recommendations for the implementation of such a tool in the higher education classroom are provided. This paper will be of interest to those in education, both in and out of the classroom, from administrators to librarians.