30 research outputs found

    Changes in absolute numbers of retweets, expressed in 1000s of tweets, with ratio in parentheses.

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    Changes in absolute numbers of retweets, expressed in 1000s of tweets, with ratio in parentheses.</p

    Supplementary information on the data and methods.

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    This includes data collection considerations (incl. hashtags), analysis of bots in the dataset, biases in data, classification tasks, and structural break analyses. (ZIP)</p

    Significant VAR coefficients for the simple lag-1 model.

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    The left side shows the raw coefficients, the right side shows the log-normalized influence taking into account total influence of each group (see text for details).</p

    Changes in score for moral foundations dictionaries pre- and post-declaration.

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    Components on X axis absolute score changes. Y axis shows percentage of max pre/post score across all groups (for raw scores, see SM §2.2). Arrow shows direction of change.</p

    Visualisation of the retweet networks before and after the WHO declaration, color-coded by community.

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    Visualisation of the retweet networks before and after the WHO declaration, color-coded by community.</p

    Dendrogram showing hierarchical clustering for pre- and post-declaration tf-idf vectors.

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    Dendrogram showing hierarchical clustering for pre- and post-declaration tf-idf vectors.</p

    Fig 9 -

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    Left: significant VAR coefficients for a model incorporating public health measure. Right: log-normalized influence.</p

    Dendrogram for custom MFT virtue dictionaries.

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    Dendrogram for custom MFT virtue dictionaries.</p

    Summary statistics for the top five communities.

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    Summary statistics for the top five communities.</p

    Dendrogram for LIWC-Specific content.

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    Dendrogram for LIWC-Specific content.</p
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