Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day
Drawing upon theories of risk and decision making, we present a theoretical framework for how the emotional attributes of social media content influence risk behaviors. We apply our framework to understanding how COVID-19 vaccination Twitter posts influence acceptance of the vaccine in Peru, the cou...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Vaccines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-393X/11/4/817 |
| _version_ | 1797603326674599936 |
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| author | Ayse D. Lokmanoglu Erik C. Nisbet Matthew T. Osborne Joseph Tien Sam Malloy Lourdes Cueva Chacón Esteban Villa Turek Rod Abhari |
| author_facet | Ayse D. Lokmanoglu Erik C. Nisbet Matthew T. Osborne Joseph Tien Sam Malloy Lourdes Cueva Chacón Esteban Villa Turek Rod Abhari |
| author_sort | Ayse D. Lokmanoglu |
| collection | DOAJ |
| description | Drawing upon theories of risk and decision making, we present a theoretical framework for how the emotional attributes of social media content influence risk behaviors. We apply our framework to understanding how COVID-19 vaccination Twitter posts influence acceptance of the vaccine in Peru, the country with the highest relative number of COVID-19 excess deaths. By employing computational methods, topic modeling, and vector autoregressive time series analysis, we show that the prominence of expressed emotions about COVID-19 vaccination in social media content is associated with the daily percentage of Peruvian social media survey respondents who are vaccine-accepting over 231 days. Our findings show that net (positive) sentiment and trust emotions expressed in tweets about COVID-19 are positively associated with vaccine acceptance among survey respondents one day after the post occurs. This study demonstrates that the emotional attributes of social media content, besides veracity or informational attributes, may influence vaccine acceptance for better or worse based on its valence. |
| first_indexed | 2024-03-11T04:27:37Z |
| format | Article |
| id | doaj.art-ecd19aae0c2b465aabfb607553ab8be6 |
| institution | Directory Open Access Journal |
| issn | 2076-393X |
| language | English |
| last_indexed | 2024-03-11T04:27:37Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vaccines |
| spelling | doaj.art-ecd19aae0c2b465aabfb607553ab8be62023-11-17T21:42:09ZengMDPI AGVaccines2076-393X2023-04-0111481710.3390/vaccines11040817Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next DayAyse D. Lokmanoglu0Erik C. Nisbet1Matthew T. Osborne2Joseph Tien3Sam Malloy4Lourdes Cueva Chacón5Esteban Villa Turek6Rod Abhari7Department of Communication Studies, Northwestern University, Evanston, IL 60208, USADepartment of Communication Studies, Northwestern University, Evanston, IL 60208, USADepartment of Mathematics, The Ohio State University, Columbus, OH 43210, USADepartment of Mathematics, The Ohio State University, Columbus, OH 43210, USAMITRE, McLean, VA 22102, USASchool of Journalism and Media Studies, San Diego State University, San Diego, CA 92182, USADepartment of Communication Studies, Northwestern University, Evanston, IL 60208, USADepartment of Communication Studies, Northwestern University, Evanston, IL 60208, USADrawing upon theories of risk and decision making, we present a theoretical framework for how the emotional attributes of social media content influence risk behaviors. We apply our framework to understanding how COVID-19 vaccination Twitter posts influence acceptance of the vaccine in Peru, the country with the highest relative number of COVID-19 excess deaths. By employing computational methods, topic modeling, and vector autoregressive time series analysis, we show that the prominence of expressed emotions about COVID-19 vaccination in social media content is associated with the daily percentage of Peruvian social media survey respondents who are vaccine-accepting over 231 days. Our findings show that net (positive) sentiment and trust emotions expressed in tweets about COVID-19 are positively associated with vaccine acceptance among survey respondents one day after the post occurs. This study demonstrates that the emotional attributes of social media content, besides veracity or informational attributes, may influence vaccine acceptance for better or worse based on its valence.https://www.mdpi.com/2076-393X/11/4/817COVID-19vaccine acceptancesocial mediasentiment analysissocial amplification of risk frameworkPeru |
| spellingShingle | Ayse D. Lokmanoglu Erik C. Nisbet Matthew T. Osborne Joseph Tien Sam Malloy Lourdes Cueva Chacón Esteban Villa Turek Rod Abhari Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day Vaccines COVID-19 vaccine acceptance social media sentiment analysis social amplification of risk framework Peru |
| title | Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day |
| title_full | Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day |
| title_fullStr | Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day |
| title_full_unstemmed | Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day |
| title_short | Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day |
| title_sort | social media sentiment about covid 19 vaccination predicts vaccine acceptance among peruvian social media users the next day |
| topic | COVID-19 vaccine acceptance social media sentiment analysis social amplification of risk framework Peru |
| url | https://www.mdpi.com/2076-393X/11/4/817 |
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