Evidence map›Paper›PMID 37376443›Full record

ArticleVaccines2023

Misinformation about the COVID-19 Vaccine in Online Catholic Media.

Verónica Israel-Turim, Valentina Laferrara, Ana Regina Rego, Josep Lluís Micó-Sanz

Abstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Verónica Israel-TurimBlanquerna School of Communications and International Relations, Ramon Llull University, 08022 Barcelona, Spain.ORCID 0000-0002-5843-1781
Valentina LaferraraBlanquerna School of Communications and International Relations, Ramon Llull University, 08022 Barcelona, Spain.
Ana Regina RegoRede Nacional de Combate à Desinformação RNCd, Rio de Janeiro 21941-853, Brazil.ORCID 0000-0002-0915-8715
Josep Lluís Micó-SanzBlanquerna School of Communications and International Relations, Ramon Llull University, 08022 Barcelona, Spain.

Funding

Google News Initiative Project: "COVID-19 and prejudices in the Catholic Community".
6 · The paper itself

Abstract

During the COVID-19 pandemic, online media were the most widely used sources of scientific information. Often, they are also the only ones on science-related topics. Research has shown that much of the information available on the Internet about the health crisis lacked scientific rigor, and that misinformation about health issues can pose a threat to public health. In turn, millions of Catholics were found to be demonstrating against vaccination against COVID-19 based on "false" and misleading religious arguments. This research analyses publications about the vaccine in Catholic online media with the aim of understanding the presence of information (and misinformation) in this community. An algorithm designed for each media outlet collected COVID-19 vaccine-related publications from 109 Catholic media outlets in five languages. In total, 970 publications were analysed for journalistic genres, types of headlines and sources of information. The results show that most publications are informative and most of their headlines are neutral. However, opinion articles have mostly negative headlines. Furthermore, a higher percentage of the opinion authors come from the religious sphere and most of the sources cited are religious. Finally, 35% of the publications relate the vaccine to the framing issue of abortion.

Indexed as

Catholic mediaCOVID-19 vaccinedigital mediafake newshealth communicationinfodemicmisinformationnews mediavaccination

Identifiers

PMID37376443
PMCPMC10305146

What OpenQuestion holds

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LicenceCC BY
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.