Reducing Covid-19 Information Uncertainty Through Social Media
Descriptive Quantitative Study of Universitas Muhammadiyah Surakarta Students
- DOI
- 10.2991/assehr.k.220501.010How to use a DOI?
- Keywords
- COVID-19; Instagram; Crisis communication; Uncertainty reduction
- Abstract
Social media, one of the developing technologies, has an important role in information dissemination, especially information related to COVID-19. One of the media utilized as the fastest information source related to COVID-19 is Instagram. However, behind the advantages of access and rapid distribution of information, false information becomes easily spread, so COVID-19 misinformation to Instagram users is still common. For this reason, this study used descriptive quantitative research methods. This study attempts to analyze how the research sample strategy reduces the COVID-19 information uncertainty spread on Instagram. Sampling used a purposive sampling technique, with the criteria of the Universitas Muhammadiyah Surakarta students who had an Instagram account. The analysis in this study employed uncertainty reduction theory by focusing on three strategies: active, passive, and interactive. This study’s results aim to provide an overview of strategies for how students use Instagram to reduce the COVID-19 information uncertainty on Instagram. Research revealed that reducing uncertainty during the COVID-19 pandemic can be minimized with a crisis communication strategy by utilizing Instagram as the information source.
- Copyright
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Erika Fitriani AU - Dian Purworini PY - 2022 DA - 2022/05/09 TI - Reducing Covid-19 Information Uncertainty Through Social Media BT - Proceedings of the International Conference on Community Empowerment and Engagement (ICCEE 2021) PB - Atlantis Press SP - 80 EP - 88 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220501.010 DO - 10.2991/assehr.k.220501.010 ID - Fitriani2022 ER -