Cited by 446Misinformation and Its ImpactsCommunication and COVID-19 ImpactAcademic Publishing and Open Access

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The COVID-19 infodemic

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The Lancet Infectious Diseases·2020·The Lancet Infectious Diseases

DOI 10.1016/s1473-3099(20)30565-xPMC PMC7367666

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Items 301–400 of 446

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COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News
Warman, D., & Kabir, M. A. (2023) · IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) · doi:10.1109/csde59766.2023.10487649 · Cited by 1
“A potential reason for sharing fake news is identified as our cognitive biases, more specifically our memory biases, and a phenomenon known as the “false memory effect” [7].”
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“This trend is unfortunate because the dissemination of confusing findings through media reporting, although not intended to be harmful by the media, has not only undermined years of public health efforts to curb tobacco use but also resulted in chaos during the pandemic (1).”
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“In fact, promotional content regarding such products over social networks, such as Twitter, is only a subset of the misinformation spread through these platforms, which has been referred to as an infodemic [5], [6].”
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Scientific Misinformation
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Reply
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Frontmatter
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-fm
Inhalt
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-toc
Danksagungen
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-008
6. Schluss
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-006
2. Kryptographische Sicherheitsbestimmungen
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-002
Literatur und weitere Quellen
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-007
4. Backdoors
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-004
3. IT-Sicherheit: Digitale Grenzaushandlungen
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-003
5. Für einen queeren Sicherheitsbegriff
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-005
1. Einleitung
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.14361/9783839463062-001
Die unsicheren Kanäle
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“Such a big “storm” of information is called an infodemic [6], and it can overwhelm people and cause a lot of”
Background

Authors: Diseases, T. L. I.
Corresponding author: The Lancet Infectious Diseases
Venue: The Lancet Infectious Diseases
Publisher: Elsevier BV
Published: 2020-08
Volume: 20
Issue: 8
Pages: 875
ISSN: 1473-3099 (ISSN-L)
DOI: 10.1016/s1473-3099(20)30565-x
PMC: PMC7367666
OpenAlex: W4205924832
Cited by: 421
References: 0
Citations by year: 2026: 20 · 2025: 38 · 2024: 52 · 2023: 79 · 2022: 132 · 2021: 82 · 2020: 16
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: The Lancet Infectious Diseases (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
Social Sciences › Communication › Communication and COVID-19 Impact
Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
Keywords: COVID-19 pandemic, infodemic, misinformation, fake news, conspiracy theories, social media, trust in health institutions, infodemiology, World Health Organization
MeSH terms: COVID-19, Communication, Health Policy, Humans, Pneumonia, Viral, Publishing, Journalism, Medical, Coronavirus Infections, Information Dissemination, Pandemics, Social Media

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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The COVID-19 infodemic

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cited by

Related

Metadata

Record

About these checks