Text mining analysis to understand the impact of online news on public health response: case of syphilis epidemic in Brazil.

Pinto R, Lacerda J, Silva L, Araújo AC, Fontes R, Lima TS, Miranda AE, Sanjuán L, Gonçalo Oliveira H, Atun R, Valentim R

Open source

DOI: 10.3389/fpubh.2023.1248121
Published: 2023
Container: Frontiers in public health
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2023.1248121,
  title = {Text mining analysis to understand the impact of online news on public health response: case of syphilis epidemic in Brazil.},
  author = {Pinto R and Lacerda J and Silva L and Araújo AC and Fontes R and Lima TS and Miranda AE and Sanjuán L and Gonçalo Oliveira H and Atun R and Valentim R},
  year = {2023},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2023.1248121},
  url = {https://doi.org/10.3389/fpubh.2023.1248121}
}

RIS

TY  - JOUR
TI  - Text mining analysis to understand the impact of online news on public health response: case of syphilis epidemic in Brazil.
AU  - Pinto R
AU  - Lacerda J
AU  - Silva L
AU  - Araújo AC
AU  - Fontes R
AU  - Lima TS
AU  - Miranda AE
AU  - Sanjuán L
AU  - Gonçalo Oliveira H
AU  - Atun R
AU  - Valentim R
PY  - 2023
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2023.1248121
UR  - https://doi.org/10.3389/fpubh.2023.1248121
ER  -

APA

R, P., J, L., L, S., AC, A., R, F., TS, L., AE, M., L, S., H, G. O., R, A., & R, V. (2023). Text mining analysis to understand the impact of online news on public health response: case of syphilis epidemic in Brazil.. Frontiers in public health. https://doi.org/10.3389/fpubh.2023.1248121

Source records

pubmed · retrieved 2026-09-26T16:25:19.635Z