Risk assessment and governance path of social media rumors based on GRA and FsQCA

ABSTRACT

The research on the risk assessment and governance path of social media rumors is of great significance to build a harmonious network environment. This study constructs a risk assessment indicator system of social media rumors based on information ecology theory and uses entropy weight method (EWM) to calculate the weight of risk indicators. Taking data set of Sina Weibo cases as an example, this study uses grey relational analysis (GRA) to construct a risk grading model of social media rumors. Based on the hierarchical data set, this study uses fuzzy-set qualitative comparative analysis (fsQCA) to further explore the formation path of high-risk rumors. Five configuration paths are obtained and governance methods of social media rumors for the government and social media platforms are proposed.

KEYWORDS:

• Social media rumors
• risk grading model
• governance path
• grey relational analysis (GRA)
• fuzzy-set qualitative comparative analysis (fsQCA)

JEL CLASSIFICATION:

• D01
• D83
• P16

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.