Evidence map›Paper›PMID 37850906›Full record

ArticleJournal of medical Internet research2023

Fight Against the Mandatory COVID-19 Immunity Passport on Twitter: Natural Language Processing Study.

Jessica S M Gable, Romy Sauvayre, Cédric Chauvière

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jessica S M Gable *LAPSCO, CNRS, Université Clermont Auvergne, Clermont-Ferrand, France.ORCID 0000-0002-7896-581X
Romy Sauvayre *LAPSCO, CNRS, Université Clermont Auvergne, Clermont-Ferrand, France.ORCID 0000-0003-0806-6234
Cédric ChauvièrePolytech Clermont, Clermont Auvergne INP, Université Clermont Auvergne, Aubiere, France.ORCID 0000-0002-2870-5083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo contain and curb the spread of COVID-19, the governments of countries around the world have used different strategies (lockdown, mandatory vaccination, immunity passports, voluntary social distancing, etc).

objectiveThis study aims to examine the reactions produced by the public announcement of a binding political decision presented by the president of the French Republic, Emmanuel Macron, on July 12, 2021, which imposed vaccination on caregivers and an immunity passport on all French people to access restaurants, cinemas, bars, and so forth.

methodsTo measure these announcement reactions, 901,908 unique tweets posted on Twitter (Twitter Inc) between July 12 and August 11, 2021, were extracted. A neural network was constructed to examine the arguments of the tweets and to identify the types of arguments used by Twitter users.

resultsThis study shows that in the debate about mandatory vaccination and immunity passports, mostly "con" arguments (399,803/847,725, 47%; χ

conclusionsThis study shows that during July and August 2021, social events permeating the public sphere and discussions about mandatory vaccination and immunity passports collided on Twitter. Moreover, a political decision based on scientific arguments led citizens to challenge it using pseudoscientific arguments contesting the effectiveness of vaccination and the validity of these political decisions.

Indexed as

COVID-19Social MediaCommunicable Disease ControlHumansNatural Language ProcessingNeural Networks, ComputerCOVID-19deep learningeffectivenessimmunitymandatory vaccinationnatural language processingneural networkpublic healthpublic health measurespublic policysocial distancingsocial mediasocial media analysisTwittervaccinationvaccine

Identifiers

PMID37850906
PMCPMC10669926

What Socratic holds

Textmetadata
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 Socratic graph.