Abstract
Background and objectives: Vaccines to reduce the level of hospitalisations and death from COVID-19 became available in certain countries from December 2020. This study aimed to analyse social media content shared on Twitter regarding COVID-19 vaccines on a random day to obtain insights into publicly expressed opinions on these vaccines.
Method: English language tweets, regardless of country of origin, were collected through NCapture from a 24-hour time period between 06/11/2022 and 07/11/2022 using the search term “COVID-19 vaccines”. NVivo aided content analysis was conducted on all obtained tweets; tweets unrelated to the study aim were coded as irrelevant and subsequently excluded from analysis. The study was exploratory in nature, without an underlying hypothesis.
Results: Overall, 1284 tweets were captured. A total of 67 different codes were created with 50 of those directly relating to opinions and/or information about COVID-19 vaccines; 41.8% of which were negative and 34.3% positive. Positive tweets related to, e.g., encouraging the public to get the vaccine; reductions in COVID-19 related health burdens; and providing links to scientific studies. In contrast, negative tweets warned of potential dangers associated with vaccines, primarily highlighting side effects; and reiterated prevalent conspiracy theories.
Conclusion: Overall, opinions on Twitter regarding COVID-19 vaccines showed considerable variation on the day the tweets were captured. Nevertheless, there was a notable number of tweets providing links to reliable studies on COVID-19 vaccines, indicating that many Twitter users may aim to provide reliable information regarding COVID-19 vaccines.
Method: English language tweets, regardless of country of origin, were collected through NCapture from a 24-hour time period between 06/11/2022 and 07/11/2022 using the search term “COVID-19 vaccines”. NVivo aided content analysis was conducted on all obtained tweets; tweets unrelated to the study aim were coded as irrelevant and subsequently excluded from analysis. The study was exploratory in nature, without an underlying hypothesis.
Results: Overall, 1284 tweets were captured. A total of 67 different codes were created with 50 of those directly relating to opinions and/or information about COVID-19 vaccines; 41.8% of which were negative and 34.3% positive. Positive tweets related to, e.g., encouraging the public to get the vaccine; reductions in COVID-19 related health burdens; and providing links to scientific studies. In contrast, negative tweets warned of potential dangers associated with vaccines, primarily highlighting side effects; and reiterated prevalent conspiracy theories.
Conclusion: Overall, opinions on Twitter regarding COVID-19 vaccines showed considerable variation on the day the tweets were captured. Nevertheless, there was a notable number of tweets providing links to reliable studies on COVID-19 vaccines, indicating that many Twitter users may aim to provide reliable information regarding COVID-19 vaccines.
Original language | English |
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Number of pages | 1 |
Publication status | Published - 9 Jun 2023 |
Event | Nordic Social Pharmacy Conference 2023 - The Arctic University of Norway, Norway Duration: 7 Jun 2023 → 9 Jun 2023 |
Conference
Conference | Nordic Social Pharmacy Conference 2023 |
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Country/Territory | Norway |
Period | 7/06/23 → 9/06/23 |
Keywords
- Covid-19
- vaccines