First Insight into Social Media User Sentiment Spreading Potential to Enhance the Conceptual Model for Disinformation Detection

The networks of digital communication, including social media, have become the primary means for information dissemination. While these networks offer vast benefits, such as fast knowledge exchange, improved integration, as well as entertainment for their users, they also carry many negative aspects, such as the spread of false news and malicious content. In this paper, we propose the Sentiment Spread Potential (SSP) algorithm, which combines sentiment and temporal network analysis to calculate a user’s potential for spreading information of different sentiment. This algorithm should be useful in the process of disinformation detection in the part of user profiling.