Microblog credibility indicators regarding misinformation of genetically modified food on Weibo.

ABSTRACT: The considerable amount of misinformation on social media regarding genetically modified (GM) food will not only hinder public understanding but also mislead the public to make unreasoned decisions. This study discovered a new mechanism of misinformation diffusion in the case of GM food and applied a framework of supervised machine learning to identify effective credibility indicators for the misinformation prediction of GM food. Main indicators are proposed, including user identities involved in spreading information, linguistic styles, and propagation dynamics. Results show that linguistic styles, including sentiment and topics, have the dominant predictive power. In addition, among the user identities, engagement, and extroversion are effective predictors, while reputation has almost no

SUBMITTER: Ji J 

PROVIDER: S-EPMC8168881 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature