About: Authoritarian Governments Appear to Manipulate COVID Data

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Authoritarian Governments Appear to Manipulate COVID Data
Creator	Malani, Anup Agarwal, Arnav Kapoor, Mudit Ravi, Shamika
Source	ArXiv
abstract	Because SARS-Cov-2 (COVID-19) statistics affect economic policies and political outcomes, governments have an incentive to control them. Manipulation may be less likely in democracies, which have checks to ensure transparency. We show that data on disease burden bear indicia of data modification by authoritarian governments relative to democratic governments. First, data on COVID-19 cases and deaths from authoritarian governments show significantly less variation from a 7 day moving average. Because governments have no reason to add noise to data, lower deviation is evidence that data may be massaged. Second, data on COVID-19 deaths from authoritarian governments do not follow Benford's law, which describes the distribution of leading digits of numbers. Deviations from this law are used to test for accounting fraud. Smoothing and adjustments to COVID-19 data may indicate other alterations to these data and a need to account for such alterations when tracking the disease.
has issue date	2020-07-19(xsd:dateTime)
has license	arxiv
sha1sum (hex)	8ca9311b9df34b49240a6e8b0079f0b51af32133
resource representing a document's title	Authoritarian Governments Appear to Manipulate COVID Data
resource representing a document's body	covid:8ca9311b9df34b49240a6e8b0079f0b51af32133#body_text
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