The proposed research explores how message format, errors, and error correction, impact the spread of information and behaviors in social networks. Humans make mistakes but the diffusion of information through social networks is typically modeled as though they do not. We propose to complete development of new experimental software that will permit us to examine the effects of message format, error, and error correction, in networks with complex i.e., non-linear structures. The project is innovative in that there has been minimal prior research in this area, and none besides our own that considers semantic meaning. The project is risky in that it is a new area of study that has already proven to require complex methodology. However, greater knowledge in this area would contribute to enhanced communications methodologies and improve models of diffusion in social networks.