CoChat
Sign Up
Cited by 38Academic Publishing and Open AccessMisinformation and Its ImpactsAcademic integrity and plagiarism

Too much information, too little evidence: is waste in research fuelling the covid-19 infodemic?

Casigliani, Virginia, De Nard, Francesca, De Vita, Erica, Arzilli, Guglielmo, Grosso, Francesca Maria, Quattrone, Filippo, Tavoschi, Lara, Lopalco, Pierluigi·2020·BMJ
DOI 10.1136/bmj.m2672
Open this paper in CoChat — free account

Abstract

Letter on waste and harm on Covid-19 research

Integrity signals

Registry

Crossref · 10.1136/bmj.m2672

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Junk and manipulative research, through underperforming studies or study designs unfit to carry out the intended research objective, has had an impact on the behavior of the general population and health professionals.

    “In this context, it has been more evident than ever that junk and manipulative research, through underperforming studies or with study designs unfit to carry out the intended research objective, has had an impact on the behavior of the general population and, more worryingly, on health professionals (56).”

    From ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023) · cites this paper as [56]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Casigliani, V., De Nard, F., De Vita, E., Arzilli, G., Grosso, F. M., Quattrone, F., Tavoschi, L., & Lopalco, P.
Affiliations
  • University of Pisa (IT)
  • University of Milan (IT)
ORCID
Venue
BMJ
Publisher
BMJ
Published
2020-07-06
Volume
370
Pages
m2672
ISSN
1756-1833 (ISSN-L)
DOI
10.1136/bmj.m2672
OpenAlex
W3039473442
Cited by
38
References
4
Citations by year
2026: 1 · 2024: 2 · 2023: 5 · 2022: 11 · 2021: 14 · 2020: 5
Type
journal article
Language
en
Open access
closed
Licence
bmj.com/coronavirus/usage (tdm)
Locations
  • BMJ (publishedVersion)
  • PubMed (publishedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
  • AIRUS (submittedVersion)
  • HighWire Press Open Archive (submittedVersion)
  • CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Safety Research › Academic integrity and plagiarism
Keywords
research waste, COVID-19 pandemic, infodemic, quality of evidence, information overload, misinformation
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Coronavirus Infections, Pandemics

About these checks

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 ›

Are you an author, or do you see a problem with this page? Request a review