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Analysis of Vaccine Hoax Information in Facing the Covid-19 Crisis on Twitter

ELS Journal on Interdisciplinary Studies in Humanities · Vol. 6 No. 2 (2023) · pp. 219–225

DOI
10.34050/elsjish.v6i2.26799
ISSN
2621-0835, 2621-0843
Published
2023-06-01
Publisher
Hasanuddin University
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Present the new media (internet) as a new challenged in the world of information, especially on hoax information. The increase in hoax messages has also been a challenge in managing the Covid-19 crisis, with social media becoming the new venue for the spread of hoax messages. The objective of the research was to analyze information on the Covid-19 vaccine on Twitter to be more careful in choosing and to reveal the disseminating information. This research used qualitative content analysis methods according to Philip Mayring and utilized the search engine on Twitter to collect data within a certain time span. The result of this research, found some hoax information on Twitter such as: Sinovac vaccine was haram, vaccine was killed, vaccine was spayed, and vaccines changed human DNA.

Keywords

Collaboration network of the authors

40 authors · 69 co-authorship links · 4 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Politeknik Negeri Pontianak
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hafied CangaraHasanuddin University5
Andi Alimuddin UndeAffiliation unknown5
Arianto AriantoPoliteknik Negeri Pontianak3
Hasrullah HasrullahInstitut Agama Islam Negeri Kendari2
Wahyuni ArasHasanuddin University1
Muhammad FaridHasanuddin University1
Muh AnugerahAffiliation unknown1
Nurul IchsaniAffiliation unknown1
Nurindah ArwaniHasanuddin University1
Muhammad FaridHasanuddin University1
Muhammad AmrullahHasanuddin University1
Alem Febri SonniHasanuddin University1
Bustan KadirHasanuddin University1
Muhammad FaridHasanuddin University1
Fitriani Puspa NingsihAffiliation unknown1
Murniati MuhtarAffiliation unknown1
Muhammad NajmuddinAffiliation unknown1
Andi Widya WarsaAffiliation unknown1
Yuyun Yunita PuspaAffiliation unknown1
Aswar AswarHasanuddin University1
Sulvinajayanti SulvinajayantiAffiliation unknown1
Bakri BakriAffiliation unknown1
Muhammad Iqbal SultanAffiliation unknown1
Imam MuktiAffiliation unknown1
Andi Azisah AzisAffiliation unknown1
Abdul Wadu'udAffiliation unknown1
Anysyah SyamAffiliation unknown1
Muhammad NadjibAffiliation unknown1
Desy SelvianaAffiliation unknown1
M. Iqbal SultanAffiliation unknown1
Achmad Safeii Ma'arifAffiliation unknown1
Christine Purnamasari AnduAffiliation unknown1
Muhammad FaridAffiliation unknown1
Melinda FebrianiAffiliation unknown1
Suharliati Nelsy HusainAffiliation unknown1
Muhammad AslamAffiliation unknown1
Nettie Nandra TasunaungAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jish/oai, first harvested 3 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Analysis of Vaccine Hoax Information in Facing the Covid-19 Crisis on Twitter</dc:title>
	<dc:creator xml:lang="en">Syaiful, Muh.</dc:creator>
	<dc:creator xml:lang="en">Akbar, Muh.</dc:creator>
	<dc:creator xml:lang="en">Bahfiarti, Tuti</dc:creator>
	<dc:subject xml:lang="en">Content Analysis</dc:subject>
	<dc:subject xml:lang="en">Covid-19 Vaccine</dc:subject>
	<dc:subject xml:lang="en">Hoax; New Media</dc:subject>
	<dc:subject xml:lang="en">Twitter</dc:subject>
	<dc:description xml:lang="en">Present the new media (internet) as a new challenged in the world of information, especially on hoax information. The increase in hoax messages has also been a challenge in managing the Covid-19 crisis, with social media becoming the new venue for the spread of hoax messages. The objective of the research was to analyze information on the Covid-19 vaccine on Twitter to be more careful in choosing and to reveal the disseminating information. This research used qualitative content analysis methods according to Philip Mayring and utilized the search engine on Twitter to collect data within a certain time span. The result of this research, found some hoax information on Twitter such as: Sinovac vaccine was haram, vaccine was killed, vaccine was spayed, and vaccines changed human DNA.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2023-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jish/article/view/26799</dc:identifier>
	<dc:identifier>10.34050/elsjish.v6i2.26799</dc:identifier>
	<dc:source xml:lang="en">ELS Journal on Interdisciplinary Studies in Humanities; Vol. 6 No. 2 (2023): JUNE; 219-225</dc:source>
	<dc:source>2621-0835</dc:source>
	<dc:source>2621-0843</dc:source>
	<dc:source>10.34050/elsjish.v6i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jish/article/view/26799/9845</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Muhammad Syaiful, Muh. Akbar, Tuti Bahfiarti</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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