COVID-19 Vaccination: A Retrospective Observation and Sentiment
Analysis of the Twitter Social Media Platform in Indonesia
Dublin Core
Title
COVID-19 Vaccination: A Retrospective Observation and Sentiment
Analysis of the Twitter Social Media Platform in Indonesia
Analysis of the Twitter Social Media Platform in Indonesia
Subject
Retrospective Observation; Sentiment Analysis; Twitter Opinion; Vaccine
Description
Coronavirus (COVID-19) is a rapidly emerging and spreading infectious disease. To minimize the impact caused by the virus, it
is necessary to have a vaccine. However, the existence of vaccinations for the Indonesian people has caused controversy so that it
invites many people to give an opinion assessment, therefore people choose social media as a place to channel their opinions. In
this study, a comparison was made with an observational infoveillance study by collecting data using a Python programming
script (Python Software Foundation) to display posts related to the COVID-19 vaccine on Twitter as well as quantitative and
qualitative analysis to identify trends and characterize the main themes discussed by twitter users on Twitter. Indonesia. Our
research collects data through social media Twitter in the period August 2020 - March 2021. In this study we combine
Retrospective Observation and Sentiment Analysis, with the aim of producing periodic timeline evaluations within a
predetermined time frame. In this study author found that there was an interaction & increase in positive posts due to officially
reported developments, on the other hand we were quite difficult to understand the factors behind the emergence of negative
posts but we made a conclusion based on the results of sentiment analysis that most of the negative posts were caused by lack of
information and understanding of vaccines and vaccines. the COVID-19 outbreak itself.
is necessary to have a vaccine. However, the existence of vaccinations for the Indonesian people has caused controversy so that it
invites many people to give an opinion assessment, therefore people choose social media as a place to channel their opinions. In
this study, a comparison was made with an observational infoveillance study by collecting data using a Python programming
script (Python Software Foundation) to display posts related to the COVID-19 vaccine on Twitter as well as quantitative and
qualitative analysis to identify trends and characterize the main themes discussed by twitter users on Twitter. Indonesia. Our
research collects data through social media Twitter in the period August 2020 - March 2021. In this study we combine
Retrospective Observation and Sentiment Analysis, with the aim of producing periodic timeline evaluations within a
predetermined time frame. In this study author found that there was an interaction & increase in positive posts due to officially
reported developments, on the other hand we were quite difficult to understand the factors behind the emergence of negative
posts but we made a conclusion based on the results of sentiment analysis that most of the negative posts were caused by lack of
information and understanding of vaccines and vaccines. the COVID-19 outbreak itself.
Creator
Andhika Rafi Hananto 1,*, Silvia Anggun Rahayu 2, and Taqwa Hariguna
Date
2022
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Andhika Rafi Hananto 1,*, Silvia Anggun Rahayu 2, and Taqwa Hariguna, “COVID-19 Vaccination: A Retrospective Observation and Sentiment
Analysis of the Twitter Social Media Platform in Indonesia,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9293.
Analysis of the Twitter Social Media Platform in Indonesia,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9293.