Citation: Alam, M.T.; Sohail, S.S.;
Ubaid, S.; Shakil; Ali, Z.; Hijji, M.;
Saudagar, A.K.J.; Muhammad, K. It’s
Your Turn, Are You Ready to Get
Vaccinated? Towards an Exploration
of Vaccine Hesitancy Using
Sentiment Analysis of Instagram
Posts. Mathematics 2022, 10, 4165.
https://doi.org/10.3390/
math10224165
Academic Editor: Victor Leiva
Received: 26 September 2022
Accepted: 26 October 2022
Published: 8 November 2022
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mathematics
Article
It’s Your Turn, Are You Ready to Get Vaccinated? Towards an
Exploration of Vaccine Hesitancy Using Sentiment Analysis of
Instagram Posts
Mohammed Talha Alam
1,2
, Shahab Saquib Sohail
1,
* , Syed Ubaid
1,3
, Shakil
1,4
, Zafar Ali
5
,
Mohammad Hijji
6
, Abdul Khader Jilani Saudagar
7
and Khan Muhammad
8,
*
1
Department of Computer Science and Engineering, School of Engineering Sciences and Technology,
Jamia Hamdard, New Delhi 110062, India
2
Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI),
Abu Dhabi P.O. Box 54115, United Arab Emirates
3
Department of Computer Science, Aligarh Muslim University, Aligarh 202001, India
4
Faculty of Electronicand Information Technology, WarsawUniversity of Technology, Nowowiejska 15/19,
00-665 Warszawa, Poland
5
School of Computer Science and Engineering, Southeast University, Nanjing 211189, China
6
Faculty of Computers and Information Technology (FCIT), University of Tabuk, Tabuk 47711, Saudi Arabia
7
Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn
Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia
8
Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence,
School of Convergence, College of Computing and Informatics, Sungkyunkwan University,
Seoul 03063, Korea
* Correspondence: shahabssohail@jamiahamdard.ac.in (S.S.S.); khanmuhammad@g.skku.edu (K.M.)
Abstract: The deadly threat caused by the rapid spread of COVID-19 has been restricted by virtue
of vaccines. However, there is misinformation regarding the certainty and positives outcome of
getting vaccinated; hence, many people are reluctant to opt for it. Therefore, in this paper, we
identified public sentiments and hesitancy toward the COVID-19 vaccines based on Instagram posts
as part of intelligent surveillance. We first retrieved more than 10k publicly available comments and
captions posted under different vaccine hashtags (namely, covaxin, covishield, and sputnik). Next,
we translated the extracted comments into a common language (English), followed by the calculation
of the polarity score of each comment, which helped identify the vaccine sentiments and opinions in
the comments (positive, negative, and neutral) with an accuracy of more than 80%. Moreover, upon
analysing the sentiments, we found that covaxin received 71.4% positive, 18.5% neutral, and 10.1%
negative comments; covishield obtained 64.2% positive, 24.5% neutral, and 11.3% negative post;
and sputnik received 55.8% positive, 15.5% neutral, and 28.7% negative sentiments. Understanding
vaccination perceptions and views through Instagram comments, captions, and posts is helpful
for public health officials seeking to enhance vaccine uptake by promoting positive marketing and
reducing negative marketing. In addition to this, some interesting future directions are also suggested
considering the investigated problem.
Keywords: COVID-19; vaccination; vaccine hesitancy; sentiment analysis; health informatics; data
analytics; intelligent surveillance; infodemics
MSC: 68T01
1. Introduction
COVID-19 began to wreak havoc on all aspects of life in December 2019, and the
World Health Organization (WHO) declared it a pandemic in March 2020 [1]. Following
the spread of COVID-19, the public’s interest in vaccine-related questions and issues grew.
Vaccines have been developed by the research teams of pharmaceutical companies, research
Mathematics 2022, 10, 4165. https://doi.org/10.3390/math10224165 https://www.mdpi.com/journal/mathematics