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Fig 1.

The analytical framework of this study.

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Fig 2.

Five-stage model of the information lifecycle.

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Fig 3.

Impact mechanism of public opinion dissemination.

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Fig 4.

Management mechanism of public opinion dissemination.

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Table 1.

Partial results of COVID-19 news headlines after word segmentation.

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Fig 5.

Word cloud of high-frequency words in COVID-19-related news.

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Table 2.

The 15 leading high-frequency keywords in COVID-19 news.

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Fig 6.

Number of daily news headlines about COVID-19 in Baidu News.

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Fig 7.

Proportion of media outlets reporting COVID-19 news.

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Fig 8.

Clustering network of high-frequency words in COVID-19-related news.

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Fig 9.

Thermal diagram of high-frequency words in COVID-19-related news.

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Fig 10.

Time co-occurrence network of high-frequency words in COVID-19-related news.

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Table 3.

Co-word matrix of 10 leading high-frequency keywords.

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Fig 11.

Social network of COVID-19-related news.

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Fig 12.

Group clustering of COVID-19-related news.

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Table 4.

Network centrality of some high-frequency keywords.

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Table 5.

Descriptive statistics of network centrality.

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Table 6.

Statistics of structural holes parameters for the 10 leading keywords.

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Table 7.

Research hypotheses and its results.

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