Universität zu Köln

Lentzen, Max-Philipp ORCID: 0000-0003-2041-5687, Huebenthal, Viola, Kaiser, Rolf, Kreppel, Matthias, Zoeller, Joachim E. and Zirk, Matthias (2022). A retrospective analysis of social media posts pertaining to COVID-19 vaccination side effects. Vaccine, 40 (1). S. 43 - 52. OXFORD: ELSEVIER SCI LTD. ISSN 1873-2518

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Abstract

Objectives: With an uprising influence of social media platforms like Twitter and Instagram a multitude of worldwide accessible information is available. Since the beginning of COVID-19 pandemic the exchange of medical information about several topics related to this infectious disease and its vaccination has increased rapidly. The purpose of this investigation was to assess the content associated with COVID-19 vaccination and its side effects and evaluate its educational quality. Methods: We conducted this retrospective study to investigate 600 Twitter and Instagram posts by #covidvaccinesideeffects due to number of 'likes', comments, type of post, language, its purpose and source. In addition, posts were evaluated due to educational quality by three examiners of different edu-cational levels. Results: The majority of posts showed 0 to 50 likes and 0 to 5 comments in English language. A com-parison between Twitter and Instagram by the influence of application showed significant differences in number of posts and likes or comments (p < 0.05). The major post type were texts for Twitter (251; 83.7%) and videos for Instagram (104; 34.7%). While a majority of posts by #covidvaccinesideeffects report about the occurrence of side effects, the majority of them were mild and general COVID-19 vacci-nation feedback during the first 4 months was positive. But, only 3 to 7% were rated by excellent edu-cational and validatable content. Interrater reliability between all three examiners presented a high concordance with 89% (p = 0.001). Conclusions: This study presents an analysis of quantity and quality of social media content according to COVID-19 vaccinations and its side effects. It supports the deduction that most of the content on Twitter and Instagram is shared by patients and unclear sources and thus is limited informative. Nevertheless, influence of social media on medical information especially during COVID-19 pandemic is increasing and practitioners have to face its effect on their patients. (c) 2021 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lentzen, Max-Philipp UNSPECIFIED orcid.org/0000-0003-2041-5687 UNSPECIFIED Huebenthal, Viola UNSPECIFIED UNSPECIFIED UNSPECIFIED Kaiser, Rolf UNSPECIFIED UNSPECIFIED UNSPECIFIED Kreppel, Matthias UNSPECIFIED UNSPECIFIED UNSPECIFIED Zoeller, Joachim E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Zirk, Matthias UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-566167
DOI:	10.1016/j.vaccine.2021.11.052
Journal or Publication Title:	Vaccine
Volume:	40
Number:	1
Page Range:	S. 43 - 52
Date:	2022
Publisher:	ELSEVIER SCI LTD
Place of Publication:	OXFORD
ISSN:	1873-2518
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language INSTAGRAM Multiple languages Immunology; Medicine, Research & Experimental Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/56616