Evidence map›Paper›PMID 35103089›Full record

ArticleProcedia computer science2022

Multifaceted Nature of Social Media Content Propagating COVID-19 Vaccine Hesitancy: Ukrainian Case.

Olena Zakharchenko, Roksolana Avramenko, Artem Zakharchenko, Anastasiya Korobchuk, Solomiia Fedushko, Yuriy Syerov, Olha Trach

Open access · diamondAbstract read
In one paragraph

Article in Procedia computer science, 2022. 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
6.7field-weighted citation impact, top 4% of its field
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, 17 citations in OpenAlex.

  1. Public health challenges · 2023
    Article
  2. Review
  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

7 authors at 2 institutions in 1 country.

Olena ZakharchenkoCenter for the Content Analysis, L'va Tolstogo 41, Kyiv 02000, Ukraine.
Roksolana AvramenkoCenter for the Content Analysis, L'va Tolstogo 41, Kyiv 02000, Ukraine.
Artem ZakharchenkoCenter for the Content Analysis, L'va Tolstogo 41, Kyiv 02000, Ukraine.
Anastasiya KorobchukCenter for the Content Analysis, L'va Tolstogo 41, Kyiv 02000, Ukraine.
Solomiia FedushkoLviv Polytechnic National University, S. Bandera, str., 12, Lviv, 79013, Ukraine.
Yuriy SyerovLviv Polytechnic National University, S. Bandera, str., 12, Lviv, 79013, Ukraine.
Olha TrachLviv Polytechnic National University, S. Bandera, str., 12, Lviv, 79013, Ukraine.
Lviv Polytechnic National University · UATaras Shevchenko National University of Kyiv · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 became an issue affecting different parts of our life. Different communication campaigns use vaccination as an information peg, argument in discussions, and so on. As a result, they have an impact on people's attitudes to immunization. We applied the message analysis to the dataset of social media posts from Ukraine to detect the messages used in the communication regarding the vaccine and reveal communication campaigns propagating these messages. We found five campaigns launched by different actors and shaping the attitude to COVID-19 immunization expressed in the people's posts. The incoherence of the information about immunization and authorities' inconsistency in the communications about vaccines may lead to vaccine hesitancy and undermine confidence in the sources of the official information about COVID-19. Vaccine hesitancy has multifaceted nature and cannot be reduced just to politicians' conspiracy theories or far-right propaganda.

Indexed as

COVID-19 ImmunizationInformation CampaignsMessage AnalysisPropagandaSocial Media

Identifiers

PMID35103089
PMCPMC8790959
OpenAlexW4210401988

What OpenQuestion holds

Textmetadata
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.