The extensive dissemination of false information in social networks affects netizen’s social lives, morals, and behaviours. When a neighbour expresses strong emotions (e.g., fear, anger, excitement) based on a false statement, these emotions can be transmitted to others, especially through interactions on social media. Therefore, exploring the mechanism that explains how an individual’s emotions change under the influence of a neighbour’s false statement is a practically important task. In this work, we systematically examining the public’s personal, interpersonal, and historical emotional influence based on social context, content, and emotional-based features. The contribution of this paper is to build an emotionally infused model called the Emotional-based User Sequential Influence Model+(E-USIM+) to understand users’ temporal emotional propagation patterns and predict future emotions against false information.