Investigating How the Content Semantic Features Influence the Social Media Rumor Refutation Effectiveness

Abstract

Due to the widespread use of internet and social media, rumors can quickly spread to every corner of the world. Therefore, it’s important to repute rumors precisely. In order to investigate how content semantic features affect the effectiveness of rumor reputation, this paper crawls 55847 reposts and 77080 comments data of 251 rumor reputation microblogs for empirical analysis. Reputation effectiveness index (REI) is chosen as the response variable. Independent variables are defined from two aspects, that is content factors and semantic factors. This paper also set creator factors as control variables to exclude infection by other variables. Our research proved that some independent variables (the number of “!”, the presence of an obvious title and hot topics) have a significantly positive relationship with REI. Moreover, under different topics, hot topics have different enhancing effects on REI. Finally, some suggestions about rumor management are proposed.

Keywords

• content semantic features
• rumor reputation effectiveness
• rumor management suggestion
• multiple linear regression model
• regression analysis