Selected article for: "linear regression and Multivariate linear regression analysis"

Author: Thanh, N. N.; Tung, P. H.; Thu, N. H.; Kien, P. D.; Nguyet, N. A.
Title: Factors affecting the share of fake news about covid-19 outbreak on social networks in vietnam
  • Cord-id: ih17hxyf
  • Document date: 2021_1_1
  • ID: ih17hxyf
    Snippet: In recent days in Vietnam, the amount of fake news spreading online about the Covid-19 epidemic has shown signs of increasing, causing information confusion and complicating the situation. This fact has received significant attention from scientists. To supplement the evidence of previous studies, enrich the research literature and make policy recommendations to the Government, this study explores the factors influencing the sharing of fake news on social networks. This study was conducted throu
    Document: In recent days in Vietnam, the amount of fake news spreading online about the Covid-19 epidemic has shown signs of increasing, causing information confusion and complicating the situation. This fact has received significant attention from scientists. To supplement the evidence of previous studies, enrich the research literature and make policy recommendations to the Government, this study explores the factors influencing the sharing of fake news on social networks. This study was conducted through a cross-sectional survey using an intentional sampling technique (n = 200) multivariate linear regression analysis technique was applied to prove the hypotheses. Research results show that the factors of altruism, entertainment, socialization, self-promotion, and instant information sharing have a positive and meaningful impact on sharing fake news about Covid_19 on social networks. © 2021 The Author/s.

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