Mass Media Takes the Lead as Opinion Leaders on Twitter During Early Days of COVID-19 Pandemic
- DOI
- 10.2991/978-2-38476-048-0_42How to use a DOI?
- Keywords
- mass media; covid-19; crisis; social network analysis; uncertainty reduction theory
- Abstract
This article discusses the role of mass media in leading public opinion on Twitter during the early days of the COVID-19 pandemic. The study used a content analysis approach with the Social Network Analysis (SNA) method to identify the top opinion leaders on Twitter. The result shows that six of the top ten opinion leaders were mass media, with @CNNIndonesia having the largest in-degree. The mass media became opinion leaders because of their social media sharing activities, which provided the public with various choices of information during the COVID-19 pandemic. The news distributed on Twitter contained basic, preventive, and treatment information, medical research, social, political, and economic contexts, as well as personal stories. This study implies that mass media played an essential role in providing vital information to the public during the early days of the pandemic, and it highlights the importance of social media sharing as a means of disseminating information to a broad audience.
- 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.
Cite this article
TY - CONF AU - Khuswatun Hasanah AU - Yuseptia Angretnowati AU - Retno Hendariningrum PY - 2023 DA - 2023/04/27 TI - Mass Media Takes the Lead as Opinion Leaders on Twitter During Early Days of COVID-19 Pandemic BT - Proceedings of the International Conference on Advance Research in Social and Economic Science (ICARSE 2022) PB - Atlantis Press SP - 387 EP - 397 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-048-0_42 DO - 10.2991/978-2-38476-048-0_42 ID - Hasanah2023 ER -