Citation

Lyu W, Zhou W, Chen W, Han Y, Fang Z. China Saf. Sci. J. 2022; 32(11): 192-199.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.11.0077

PMID

unavailable

Abstract

In order to reduce the risk of network public opinion crisis caused by short videos, taking the " 7·20" Henan rainstorm incident as an example, this paper constructed a prediction index system for the risk of public opinion crisis based on short-form online videos from five aspects:the degree of disaster, response behavior, video attributes, public opinion sentiment tendency and public opinion spread diffusion of the unexpected incident. BN was used to build a prediction model to discuss the accuracy of public opinion forecast. The validation results indicate that the model can effectively predict the risk level of network public opinion crisis, and the public ' s response behavior in the face of emergencies has an important influence on the risk level of public opinion crisis, sentiment tendency and the spread of public opinion. When the disaster is severe and the public's behavior is relatively negative, the main reason for the outbreak of public opinion is the public's emotional tendency and the spread of public opinion. Short videos with a high number of comments are more likely to trigger network public opinion crises than retweets and likes. © 2022 China Safety Science Journal. All rights reserved.

Language: zh