Social Media in the Pandemic Era: Twitter User Sentiment Analysis Against COVID-19
- DOI
- 10.2991/assehr.k.211227.048How to use a DOI?
- Keywords
- Social media; Disasters; pandemics; COVID-19
- Abstract
Social media has become the choice to access various information related to disasters. This article aims to determine the level of public responsiveness to the COVID-19 pandemic disaster through social media Twitter. This research used descriptive qualitative with a literature study approach. Information was collected from Twitter using N-Capture regarding the COVID-19 pandemic in March 2020. The data analysis techniques were done using the NVivo12 Plus software with a query analysis approach. The results showed the community’s responsiveness to the COVID-19 pandemic disaster since the advent of the COVID-19 outbreak in Indonesia in early March was enlivened with hashtags (#lawancovid19) of 14,930 counts. Through hashtag #lawancovid19, the bnpb-Indonesia account with (35.24%) and the ministry of health ministry account (20. 68%) are the two Twitter accounts used most in March. The #lawancovid19 narrative on Twitter developed by the government is a form of information and education communication (IEC) actions regarding the COVID-19 pandemic as part of a preventive effort to prevent the spread of an increasing outbreak. Thus, social media can be utilized by the government and the community to increase effectiveness and efficiency in disseminating disaster information.
- Copyright
- © 2021 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Fajar Rahmanto AU - Muchamad Zaenuri PY - 2021 DA - 2021/12/29 TI - Social Media in the Pandemic Era: Twitter User Sentiment Analysis Against COVID-19 BT - Proceedings of the International Conference on Sustainable Innovation Track Humanities Education and Social Sciences (ICSIHESS 2021) PB - Atlantis Press SP - 310 EP - 316 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211227.048 DO - 10.2991/assehr.k.211227.048 ID - Rahmanto2021 ER -