The Impact of Personality on User-Generated Content in Online Social Networks

Abstract

The rapid promotion of online social networks and the unprecedented enthusiasm of Internet users have led to a sharp increase in user-generated content. Understanding the user behavior behind various user-generated content is a challenging task. The impact of a user's personality traits on user-generated content is an issue we want to explore. This article combines the user's personality survey data with Facebook's user-generated content data. We explore user-generated content from four aspects: topic preferences, expression patterns, sentiment states and cognition styles. The experimental results show that in online social networks, personality traits will affect the topic preferences, expression patterns, sentiment states and cognition styles from user-generated content, and the influence of different personality traits is different.