Twitter Data Sentiment Analysis on the Economic Sector: Public Response to Government Policies During the COVID-19 Pandemic in Indonesia

DOI

10.2991/978-2-38476-152-4_45How to use a DOI?

Keywords

Sentiment analysis; Twitter; MSME BLT; COVID-19 pandemic

Abstract

The COVID-19 pandemic has had a significant negative impact on the global economy, including Indonesia. One of the sectors that have fallen is MSMEs, which was an important pillar in the Indonesian economy. Several policies have been issued by the government to empower MSMEs during the pandemic, one of which is the provision of social assistance to poor and vulnerable MSME actors. This policy has drawn public responses and opinions that have been expressed through social media. Social media can play an important role in shaping public perception. This study aims to describe public opinion and responses through the social media platform Twitter to government policies aimed at providing BLT for MSMEs. This study uses sentiment analysis and SNA, or social network analysis, methods. Data collection and analysis using Netlytic.org and Brand24 web-based applications The results showed that as many as 82% of the public had positive sentiments, while only 18% had negative sentiments. In addition, there is also a communication network that displays the interactions of several dominant actors, as well as the most discussed topic of discussion on Twitter regarding the MSME BLT policy issued by the government during the pandemic. This research provides an opportunity for the government to use Twitter data analysis in the decision-making process and policy evaluation. Further research could increase the scope of the data and increase the timeframe for data collection. In addition, it can be combined with other methods to produce research findings that are stronger at presenting the actual community response.

Copyright

© 2023 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.

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TY  - CONF
AU  - Isnaini Fitria Effendi
AU  - Dian Arlupi Utami
AU  - Roro Ayu Rahmawati
AU  - Roni Prasetyowibowo
AU  - Prasetyo Isbandono
PY  - 2023
DA  - 2023/12/19
TI  - Twitter Data Sentiment Analysis on the Economic Sector: Public Response to Government Policies During the COVID-19 Pandemic in Indonesia
BT  - Proceedings of the International Joint Conference on Arts and Humanities 2023 (IJCAH 2023)
PB  - Atlantis Press
SP  - 472
EP  - 491
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-152-4_45
DO  - 10.2991/978-2-38476-152-4_45
ID  - Effendi2023
ER  -