Chatbot for COVID-19 Emergency Response and Digital Neighborhood Surveillance
- DOI
- 10.2991/assehr.k.210120.115How to use a DOI?
- Keywords
- Twitter, Chatbot, COVID-19, Neighborhood Surveillance, Central Java
- Abstract
COVID-19 pandemic gradually leads to habits shifting amongst Indonesians, which indirectly alters the increase of internet usage by 40% during ‘Work from Home’ period instigated by the Government (CNN Indonesia, 2020). Social media access is claimed as the main reason why netizens connect to the internet, indicated by 19,1% of 171.17 million internet users in Indonesia (Association of Indonesia Internet Service Provider (APJII) 2019). Social media’s ‘reach’ is considered as the indicator of the expansion and distribution of information potentials, marked by the production, dissemination and exertion of information by social media users or the netizens. Thus, highlights potential of independent neighborhood surveillance conducted progressively and continuously by social media users (netizens) to respond COVID-19 emergency matter through microblog-based social media platform known as ‘Twitter’. This research described Twitter chatbot feature potentials in order to respond netizens’ needs for information related to COVID-19 in Central Java province, as well as revealed Twitter’s chatbot practicality as a feature to accommodate government practice and policy implementation on digital neighborhood surveillance program during COVID-19 emergency respond instigated by Central Java Provincial Government.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ayu Amalia AU - Mohammad Sani Suprayogi PY - 2021 DA - 2021/01/21 TI - Chatbot for COVID-19 Emergency Response and Digital Neighborhood Surveillance BT - Proceedings of the 4th International Conference on Sustainable Innovation 2020–Social, Humanity, and Education (ICoSIHESS 2020) PB - Atlantis Press SP - 125 EP - 130 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210120.115 DO - 10.2991/assehr.k.210120.115 ID - Amalia2021 ER -