"I heard the News today, oh Boy"
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Date
2020
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Abstract
News-based indicators are in vogue in economics. But they tend to be applied with little
consideration for the properties of news itself. In this paper, we try to shed light on the nature
of this type of data.
Drawing from established findings in communication science and journalism studies we argue
that news-based indicators should be taken with a pinch of salt, since news is a somewhat
biased representation of political and social reality. Contrary to economics and other social
sciences, journalism tends to be driven by outliers, the outrageous, and the outraged. This
structural dissonance between journalism and other disciplines needs to be born in mind
when dealing with news content as data, and it is of particular concern in the context of
economic developments. While economics and statistics are inherently backward looking,
trying to make sense of the (immediate) past using models and probability distributions
derived from bygone observations, journalism is about the present, and sometimes about the
future. What’s going on right now? And where does it lead us? Seeking answers to these
questions makes news a valuable data input, as a measure of what drives society at a given
point in time.
We show how taking the properties of news into consideration influences the entire process
of large-scale news analysis. As an example, we update our Uncertainty Perception Indicator
(Müller and Hornig 2020), setting it on a firmer footing by enlarging the newspaper corpus
considerably. The new version of the UPI for Germany yields some remarkable results. At the
trough of the Covid-19-induced economic crisis in Q2 of 2020, the overall indicator already
decreased considerably, although it stayed at elevated levels. Deconstructing the UPI by
applying the topic modelling approach Latent Dirichlet Allocation (LDA), shows that the
coverage of the pandemic has merged with the issue of climate change and its mitigation. In
the past decade or so incalculable politics was the main driver of economic uncertainty
perception. Now truly exogenous developments, neither elicited by the economy nor by
politics, come to the fore, adding to the sense of an inherently unstable world.
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Keywords
uncertainty, economic policy, business cycles, Covid-19, latent Dirichlet allocation