Abstract
A media storm is a sudden surge in news coverage of an item, producing high attention for a sustained period. Our study represents the first multi-issue, quantitative analysis of storm behavior. We build a theory of the mechanisms that drive media storms and why the “anatomy” of media storms differs from that of non-storm coverage. Specifically, media storm coverage should change less explosively over time, but be more sharply skewed across issues, compared to non-storm coverage. We offer a new method of operationalizing media storms and apply our operationalization to U.S. and Belgian news. Even in these two very different cases, we find a common empirical storm anatomy with properties that differ from those of non-storm coverage in the predicted fashion. We illustrate the effects of media storms on the public through discussion of four key examples, showing that online search behavior responds strongly to media storms.
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