Pandemic and Social Media: Textual Sentiment Analysis of the Indonesian Government Policy in Facing the Third Wave of Covid-19 Attack

DOI

10.2991/978-2-38476-247-7_56How to use a DOI?

Keywords

twitter; big data; textual sentiment analysis; covid-19; indonesia government

Abstract

This article examines the tendencies of information regarding the Indonesian government's response to the third wave of Covid-19 Omicron variant attacks. It begins by looking at big data of Twitter social media users who tweeted about this issue during the three weeks of the pandemic. This study employed textual sentiment analysis of Twitter big data and looked at the context of the tweets. The study shows that the negative sentiment of Twitter users was higher than the neutral and positive sentiments. It is further strengthened with the engagement of negative sentiment tweets higher than the other sentiments. The negative sentiment arose based on the fact that the government tended to surface some issues to divert the Covid-19 pandemic issue. This study then proves that even after the third wave of Covid-19 attacks, the public, at least Twitter social media users, still did not trust that the government had been able to cope with the pandemic. This study confirms previous studies that the Indonesian government did not manage the Covid-19 pandemic well.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Prayudi Prayudi
AU  - Muhammad Edy Susilo
AU  - Mangaras Yanu Florestiyanto
AU  - Dias Regian Pingkan
PY  - 2024
DA  - 2024/09/04
TI  - Pandemic and Social Media: Textual Sentiment Analysis of the Indonesian Government Policy in Facing the Third Wave of Covid-19 Attack
BT  - Proceedings of the 2nd International Conference on Advance Research in Social and Economic Science (ICARSE 2023)
PB  - Atlantis Press
SP  - 554
EP  - 566
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-247-7_56
DO  - 10.2991/978-2-38476-247-7_56
ID  - Prayudi2024
ER  -