Personality traits and their influence on Echo chamber formation in social media: a comparative study of Twitter and Weibo.

ABSTRACT: The echo chamber effect on social media has attracted attention due to its potentially disruptive consequences on society. This study presents a framework to evaluate the impact of personality traits on the formation of echo chambers. Using Weibo and Twitter as platforms, we first define an echo chamber as a network where users interact solely with those sharing their opinions, and quantify echo chamber effects through selective exposure and homophily. We then employ an unsupervised personality recognition method to assign a personality model to each user, and compare the distribution differences of echo chambers and personality traits across platforms and topics. Our findings show that, although user personality trait models exhibit similar distributions between topics, differences exist

SUBMITTER: Song X 

PROVIDER: S-EPMC10881801 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature