Abstract
ABSTRACT Statistics are widely acknowledged as an essential part of journalism. Yet despite repeated investigations showing that routine news coverage involving statistics leaves much to be desired, scholarship has failed to produce an adequate theoretical understanding of how statistics are employed in journalism. This includes such critical decisions as how statistics originate, where to look for useful statistics and which ones to trust. The present research seeks answers through a discourse analysis of a single statistical news development: the joint announcement by the National Aeronautics and Space Administration (NASA) and the National Oceanic and Atmospheric Administration (NOAA) on 18 January 2017 concerning record average global temperatures for the previous year, 2016. An analysis of rhetorical expressions intended to convey the absence of doubt (so-called “certainty markers”) revealed that the coverage relied strongly on authoritative scientific sources to determine what counted as good measurement. A specific typology of certainty markers emerged, with five different categories of certainty and four categories of expressions of uncertainty. The certainty and uncertainty markers were not mirror images of each other, with a different structure and different sources.
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