Evidence map›Paper›PMID 36712904›Full record

ArticleMinerva2023

A Data-Political Spectacle: How COVID-19 Became A Source of Societal Division in Denmark.

Sofie Á Rogvi, Klaus Hoeyer

Abstract read
In one paragraph

Article in Minerva, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sofie Á RogviDepartment of Public Health, Faculty of Health, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen, Denmark.ORCID 0000-0002-3148-9377
Klaus HoeyerDepartment of Public Health, Faculty of Health, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has been a data-political spectacle. Data are omnipresent in prediction and surveillance, and even in resistance to governmental measures. How have citizens, whose lives were suddenly governed by pandemic data, understood and reacted to the pandemic as a data-political phenomenon? Based on a study carried out in Denmark, we show how society became divided into those viewing themselves as supporters of the governmental approach to the COVID-19 pandemic, and those who oppose it. These groups seem to subscribe to very different truths. We argue, however, that both sides share a positivist ideal and think that data and facts ought to rule. Both sides have also come to acknowledge that data are not unambiguous, and both cast increasing doubts on political uses of data. Though the people agreeing with, and the people opposing, the government strategy are in many ways surprisingly similar with respect to epistemic norms, they differ in what they perceive as dangerous or desirable, and in who they believe are telling the "truth" about the pandemic. These different perceptions result in different types of pandemic-related activism. Resistance against restrictions is often understood as inspired by conspiracy theories and in some countries anti-restrictions activism has turned violent. In our case, however, we suggest that when looking at similarities and differences across both groups, the gap between those opposing and those agreeing with the government approach is not as unbridgeable as might be suggested by their beliefs in differing truths and the emerging societal division.

Indexed as

ActivismCOVID-19Data politicsDenmarkTruth wars

Identifiers

PMID36712904
PMCPMC9873532

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.