[AP2-E1-3-01] Social Media Data Analytics for Outbreak Risk Communication: Learning Public Attention on “New Normal” During the Covid-19 Pandemic in Indonesia
New Normal, Covid-19, Outbreak Risk Communication, Twitter, Sentiment Analysis
After two months of implementing partial lockdown, the Indonesian government had announced a “new normal” policy to prevent a further economic crash in the country. This policy received a lot of critics, as Indonesia still experiencing a fluctuated number of infected cases. Understanding public perception through effective risk communication can help bridge the gap between government actions in relaying an appropriate message to avoid further disease spread. This study aims to analyze how risk communication using social media platforms like Twitter can be used to measure public attention on Covid-19 related issues “New Normal”. We gathered Twitter public data using Drone Emprit Academy (DEA) engine to access tweets related to New Normal from May 21, 2020, to June 18, 2020. We observed a total of 285,014 tweets from 137,558 active users. We found 53% of people had a positive sentiment towards new normal issues while only 40% of people had a negative perception. Moreover, around 77.96% of people expressed emotion of trust, anticipation, and joy. Our study also demonstrates how the trend of public attention on the issue of “New Normal” implementation, was gradually influenced by both the government actions and the spread of the disease. Twitter can facilitate the government in delivering an effective message behind difficult decision-making while addressing public concerns and encouraging them to adopt constructive behavior in response to the Covid-19 pandemic.