In this paper, we discuss the current limitations of existing models for misinformation diffusion in social media and present our current work suggesting that other factors beyond network properties play an important node in modeling misinformation spread and profiling fake news spreaders. These factors include news and user characteristics such as user demographics, profile properties, and behavior and activity, and news style and content complexity.