TY - GEN
T1 - Exploring COVID-19 Vaccine Hesitancy Through Topic Modeling
T2 - 8th International Conference on Informatics and Computing, ICIC 2023
AU - Hariscandra, Tedo
AU - Utami, Sri Handika
AU - Hidayanto, Achmad Nizar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The spotlight on Vaccine Hesitancy has intensified since the onset of the Covid-19 pandemic in 2020. This issue involves crucial aspects such as assessing vaccine efficacy, safety, effectiveness, and potential side effects. While past studies have provided an overview of Covid-19 vaccine hesitancy, advancing research in this area requires a systematic review using topic modeling. This study's primary goals are two-fold: first, to recognize and examine the approaches and strategies employed in prior research for shaping discussions on vaccine hesitancy-related subjects. Second, to document the topics identified in specific geographic or country contexts, thereby providing a basis for future research that compares the results. This research utilizes the systematic literature review (SLR) method using proven framework proposed by Kitchenham. Through this SLR approach, we outline various studies related to Vaccine Hesitancy, collect and analyze the methods and techniques used in previous studies, and compile a list of identified topics. The study's outcomes emphasize the intricate nature of Covid-19 vaccine hesitancy and its significant worldwide consequences. This study describes the different modeling and data analysis methods used to explore the topic of vaccine hesitancy. Additionally, the topics identified in different countries or regions may provide valuable insights for follow-up research comparing the influence of geographic context on Vaccine Hesitancy. This research contributes to a deeper understanding of Vaccine Hesitancy and provides an important reference source for future research and policy efforts to overcome vaccination challenges in the Covid-19 pandemic.
AB - The spotlight on Vaccine Hesitancy has intensified since the onset of the Covid-19 pandemic in 2020. This issue involves crucial aspects such as assessing vaccine efficacy, safety, effectiveness, and potential side effects. While past studies have provided an overview of Covid-19 vaccine hesitancy, advancing research in this area requires a systematic review using topic modeling. This study's primary goals are two-fold: first, to recognize and examine the approaches and strategies employed in prior research for shaping discussions on vaccine hesitancy-related subjects. Second, to document the topics identified in specific geographic or country contexts, thereby providing a basis for future research that compares the results. This research utilizes the systematic literature review (SLR) method using proven framework proposed by Kitchenham. Through this SLR approach, we outline various studies related to Vaccine Hesitancy, collect and analyze the methods and techniques used in previous studies, and compile a list of identified topics. The study's outcomes emphasize the intricate nature of Covid-19 vaccine hesitancy and its significant worldwide consequences. This study describes the different modeling and data analysis methods used to explore the topic of vaccine hesitancy. Additionally, the topics identified in different countries or regions may provide valuable insights for follow-up research comparing the influence of geographic context on Vaccine Hesitancy. This research contributes to a deeper understanding of Vaccine Hesitancy and provides an important reference source for future research and policy efforts to overcome vaccination challenges in the Covid-19 pandemic.
KW - Country or Region
KW - Covid-19
KW - Methods or Techniques
KW - Systematic Literature Review (SLR)
KW - Topic Modelling
KW - Vaccine Hesitancy
UR - http://www.scopus.com/inward/record.url?scp=85183459612&partnerID=8YFLogxK
U2 - 10.1109/ICIC60109.2023.10382038
DO - 10.1109/ICIC60109.2023.10382038
M3 - Conference contribution
AN - SCOPUS:85183459612
T3 - 2023 8th International Conference on Informatics and Computing, ICIC 2023
BT - 2023 8th International Conference on Informatics and Computing, ICIC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2023 through 9 December 2023
ER -