Forthcoming Articles

International Journal of Networking and Virtual Organisations

International Journal of Networking and Virtual Organisations (IJNVO)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Networking and Virtual Organisations (One paper in press)

Regular Issues

  • Analysis of online public opinion for public crisis events: a case study of the COVID-19 pandemic in Shanghai   Order a copy of this article
    by Dandan Jin, Haixiang He 
    Abstract: This paper conducted a case study of online public opinion during the Shanghai Coronavirus Disease 2019 (COVID-19) pandemic. The latent Dirichlet allocation (LDA) model was used to identify the topics and their related terms. The sentiment dictionary was used to analyse the sentiment tendencies of public opinion and calculate the group polarisation values under different topics. The regression analysis method was used to test the influence of official intervention strategies on group polarisation values. The results showed that the topics of information released by the public were divided into lower management, pricing, living security, and epidemic management, and the topics of information released by the government were divided into public statements, action countermeasures, and accountability and rumour refutation. The overall degree of group polarisation showed a trend of rising first and then falling over time. Official intervention strategies were found to be effective in suppressing online public opinion polarisation.
    Keywords: online public opinion; public crisis; LDA model; official intervention; COVID-19 pandemic; group polarisation; regression analysis.
    DOI: 10.1504/IJNVO.2026.10078238
     

 

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