The conspiracy of Covid-19 and 5G: Spatial analysis fallacies in the age of data democratization

2021 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 998

Study snapshot

Publicationmanual · 2021

Study typereview

Reported directionUnclear

Evidence ratingInsufficient

Abstract

The conspiracy of Covid-19 and 5G: Spatial analysis fallacies in the age of data democratization Eoin Flaherty, Tristan Sturm, Elizabeth Farries. The conspiracy of Covid-19 and 5G: Spatial analysis fallacies in the age of data democratization. Social Science & Medicine. 2021, 114546. 2021. doi: 10.1016/j.socscimed.2021.114546. Abstract In a context of mistrust in public health institutions and practices, anti-COVID/vaccination protests and the storming of Congress have illustrated that conspiracy theories are real and immanent threat to health and wellbeing, democracy, and public understanding of science. One manifestation of this is the suggested correlation of COVID-19 with 5G mobile technology. Throughout 2020, this alleged correlation was promoted and distributed widely on social media, often in the form of maps overlaying the distribution of COVID-19 cases with the instillation of 5G towers. These conspiracy theories are not fringe phenomena, and they form part of a growing repertoire for conspiracist activist groups with capacities for organised violence. In this paper, we outline how spatial data have been co-opted, and spatial correlations asserted by conspiracy theorists. We consider the basis of their claims of causal association with reference to three key areas of geographical explanation: (1) how social properties are constituted and how they exert complex causal forces, (2) the pitfalls of correlation with spatial and ecological data, and (3) the challenges of specifying and interpreting causal effects with spatial data. For each, we consider the unique theoretical and technical challenges involved in specifying meaningful correlation, and how their discarding facilitates conspiracist attribution. In doing so, we offer a basis both to interrogate conspiracists’ uses and interpretation of data from elementary principles and offer some cautionary notes on the potential for their future misuse in an age of data democratization. Finally, this paper contributes to work on the basis of conspiracy theories in general, by asserting how – absent an appreciation of these key methodological principles – spatial health data may be especially prone to co-option by conspiracist groups. sciencedirect.com

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AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typereview

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

The paper describes how conspiracy theorists promoted an alleged correlation between COVID-19 cases and 5G tower installations using map overlays, and discusses methodological pitfalls in interpreting spatial/ecological correlations and specifying causal effects. It argues that absent key methodological principles, spatial health data may be especially prone to co-option and misuse by conspiracist groups.

Outcomes measured

COVID-19 conspiracy theories linking COVID-19 and 5G
Misuse/misinterpretation of spatial/ecological health data and correlations
Public understanding of science and methodological pitfalls in spatial analysis

View raw extracted JSON

{
  "study_type": "review",
  "exposure": {
    "band": null,
    "source": "5G mobile technology/base stations (towers)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "COVID-19 conspiracy theories linking COVID-19 and 5G",
    "Misuse/misinterpretation of spatial/ecological health data and correlations",
    "Public understanding of science and methodological pitfalls in spatial analysis"
  ],
  "main_findings": "The paper describes how conspiracy theorists promoted an alleged correlation between COVID-19 cases and 5G tower installations using map overlays, and discusses methodological pitfalls in interpreting spatial/ecological correlations and specifying causal effects. It argues that absent key methodological principles, spatial health data may be especially prone to co-option and misuse by conspiracist groups.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "COVID-19",
    "5G",
    "conspiracy theories",
    "spatial analysis",
    "ecological data",
    "correlation",
    "causal inference",
    "social media",
    "public health institutions"
  ],
  "suggested_hubs": [
    {
      "slug": "5g-policy",
      "weight": 0.6,
      "reason": "Focuses on public claims and controversy linking COVID-19 and 5G towers, with implications for public understanding and misuse of data."
    }
  ]
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1016/j.socscimed.2021.114546
PubMed: Not supplied

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