Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information
Author(s) -
Xiaohui Huang,
Gang Li,
Yu Wang,
Xiaohui Li
Publication year - 2021
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2021.04.040
Subject(s) - computer science , mechanism (biology) , identification (biology) , covid-19 , the internet , internet privacy , computer security , world wide web , medicine , philosophy , botany , disease , epistemology , pathology , infectious disease (medical specialty) , biology
In early 2020, the new coronavirus pneumonia (Referred to as COVID-19) spread rapidly throughout the country, which has a major impact on economic and social development. Timely and accurate disclosure of epidemic information will enhance the public's ability to discriminate against false information. The influence mechanism of epidemic information disclosure on the identification of true and false information was studied, and the influencing factors of epidemic information disclosure were analyzed and studied under the framework of the "Technology-Organization-Environment" (TOE) model and the two-factor theory of driving factors and impeding factors. Combined with the relevant data from the Open Data Network of Shandong and Jinan and the attention of hot news events on the Internet since the outbreak of the epidemic, it is proposed that information disclosure is conducive to reasonably guiding the public attitude and enhancing the ability of information screening.
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