Background

After two months of implementing a partial lockdown, the Indonesian government had announced the “New Normal” policy to prevent a further economic crash in the country. This policy received many critics, as Indonesia still experiencing a fluctuated number of infected cases. Understanding public perception through effective risk communication can assist the government in relaying an appropriate message to improve people's compliance and to avoid further disease spread.

Objective

This study observed how risk communication using social media platforms like Twitter could be adopted to measure public attention on COVID-19 related issues “New Normal”.

Method

From May 21 to June 18, 2020, we archived all tweets related to COVID-19 containing keywords: “#NewNormal”, and “New Normal” using Drone Emprit Academy (DEA) engine. DEA search API collected all requested tweets and described the cumulative tweets for trend analysis, word segmentation, and word frequency. We further analyzed the public perception using sentiment analysis and identified the predominant tweets using emotion analysis.

Result

We collected 284,216 tweets from 137,057 active users. From the trend analysis, we observed three stages of the changing trend of the public's attention on the “New Normal”. Results from the sentiment analysis indicate that more than half of the population (52%) had a “positive” sentiment towards the “New Normal” issues while only 41% of them had a “negative” perception. Our study also demonstrated the public's sentiment trend has gradually shifted from “negative” to “positive” due to the influence of both the government actions and the spread of the disease. A more detailed analysis of the emotion analysis showed that the majority of the public emotions (77.6%) relied on the emotion of “trust”, “anticipation”, and “joy”. Meanwhile, people were also surprised (8.62%) that the Indonesian government progressed to the “New Normal” concept despite a fluctuating number of cases.

Conclusion

Our findings offer an opportunity for the government to use Twitter in the process of quick decision-making and policy evaluation during uncertain times in response to the COVID-19 pandemic.

中文翻译：

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用于爆发风险沟通的社交媒体数据分析：公众对印度尼西亚 COVID-19 大流行期间“新常态”的关注

背景

在实施部分封锁两个月后，印尼政府宣布了“新常态”政策，以防止该国经济进一步崩溃。该政策受到许多批评，因为印度尼西亚的感染病例数量仍在波动。通过有效的风险沟通了解公众的看法可以帮助政府传达适当的信息，以提高人们的依从性并避免疾病进一步传播。

客观的

本研究观察了如何使用 Twitter 等社交媒体平台进行风险沟通，以衡量公众对 COVID-19 相关问题“新常态”的关注度。

方法

从 2020 年 5 月 21 日到 6 月 18 日，我们使用 Drone Emprit Academy (DEA) 引擎存档了所有与 COVID-19 相关的推文，其中包含关键字：“#NewNormal”和“New Normal”。DEA 搜索 API 收集了所有请求的推文，并描述了趋势分析、分词和词频的累积推文。我们使用情绪分析进一步分析了公众的看法，并使用情绪分析确定了主要的推文。

结果

我们从 137,057 名活跃用户那里收集了 284,216 条推文。从趋势分析中，我们观察到公众对“新常态”关注度的变化趋势分为三个阶段。情绪分析的结果表明，超过一半的人（52%）对“新常态”问题持“积极”态度，而只有 41% 的人持“消极”态度。我们的研究还表明，由于政府行为和疾病传播的双重影响，公众的情绪趋势已逐渐从“消极”转向“积极”。更详细的情绪分析表明，大部分公众情绪（77.6%）依赖于“信任”、“期待”和“喜悦”等情绪。与此同时，人们也感到惊讶 (8.

结论

我们的研究结果为政府提供了一个机会，可以在不确定时期使用 Twitter 进行快速决策和政策评估，以应对 COVID-19 大流行。