Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate.
Since the rollout of the COVID-19 vaccine, vaccine hesitancy has been prevalent in the US, par- ticularly on social media such as Twitter. Significant efforts to understand the reasons behind anti- vaccine sentiments have been concentrated in the earlier stages of vaccine distribution and research s...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Royal St. George's College
2022-08-01
|
| Series: | The Young Researcher |
| Subjects: | |
| Online Access: | http://www.theyoungresearcher.com/papers/palaniappan.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850247395838787584 |
|---|---|
| author | Palaniappan, M. |
| author_facet | Palaniappan, M. |
| author_sort | Palaniappan, M. |
| collection | DOAJ |
| description | Since the rollout of the COVID-19 vaccine, vaccine hesitancy has been prevalent in the US, par- ticularly on social media such as Twitter. Significant efforts to understand the reasons behind anti- vaccine sentiments have been concentrated in the earlier stages of vaccine distribution and research suggests personal freedom to be a primary driver of vaccine hesitancy. This study aims to analyze anti-vaccine sentiment on Twitter following the first federal private sector mandate in November of 2021 to better understand how mandates impact vaccine sentiment in the later stages of the pandemic. Two machine learning models, roBERTa and LDA, were used to analyze a pre-curated Kaggle dataset of COVID-19 vaccine-related tweets. Results suggest that there is an overwhelmingly negative sentiment towards the vaccine. Reasons include efficacy and side-effect concerns, mistrust in institutions, and anti-mandate sentiments. This study identified common reasons behind vaccine hesitancy which future research can hopefully use to create targeted outreach programs. |
| format | Article |
| id | doaj-art-10decd4fba76439b9cdbe54599697c45 |
| institution | OA Journals |
| issn | 2560-9823 |
| language | English |
| publishDate | 2022-08-01 |
| publisher | Royal St. George's College |
| record_format | Article |
| series | The Young Researcher |
| spelling | doaj-art-10decd4fba76439b9cdbe54599697c452025-08-20T01:58:56ZengRoyal St. George's CollegeThe Young Researcher2560-98232022-08-0161106119 Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate.Palaniappan, M.Since the rollout of the COVID-19 vaccine, vaccine hesitancy has been prevalent in the US, par- ticularly on social media such as Twitter. Significant efforts to understand the reasons behind anti- vaccine sentiments have been concentrated in the earlier stages of vaccine distribution and research suggests personal freedom to be a primary driver of vaccine hesitancy. This study aims to analyze anti-vaccine sentiment on Twitter following the first federal private sector mandate in November of 2021 to better understand how mandates impact vaccine sentiment in the later stages of the pandemic. Two machine learning models, roBERTa and LDA, were used to analyze a pre-curated Kaggle dataset of COVID-19 vaccine-related tweets. Results suggest that there is an overwhelmingly negative sentiment towards the vaccine. Reasons include efficacy and side-effect concerns, mistrust in institutions, and anti-mandate sentiments. This study identified common reasons behind vaccine hesitancy which future research can hopefully use to create targeted outreach programs.http://www.theyoungresearcher.com/papers/palaniappan.pdf covid-19vaccine sentimentvaccine hesitancymachine learning |
| spellingShingle | Palaniappan, M. Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate. The Young Researcher covid-19 vaccine sentiment vaccine hesitancy machine learning |
| title | Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate. |
| title_full | Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate. |
| title_fullStr | Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate. |
| title_full_unstemmed | Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate. |
| title_short | Analyzing Twitter data to understand COVID-19 vaccine hesitancy following the federal private sector mandate. |
| title_sort | analyzing twitter data to understand covid 19 vaccine hesitancy following the federal private sector mandate |
| topic | covid-19 vaccine sentiment vaccine hesitancy machine learning |
| url | http://www.theyoungresearcher.com/papers/palaniappan.pdf |
| work_keys_str_mv | AT palaniappanm analyzingtwitterdatatounderstandcovid19vaccinehesitancyfollowingthefederalprivatesectormandate |