Information spreading on social media is a crucial issue to build a safe society. In particular, during emergencies, misinformation and uncertain information can lead to social disruption and cause significant damage to our lives. Here we built a retweet network from 24 million radiation-related tweets by 1.3 million accounts in the immediate aftermath of the Fukushima nuclear power plant accident in 2011. Then we simulated the information spreading on the network to explore ways to spread scientifically accurate information. Our simulation replicated the reality in which the number of scientific evidence-based tweets experienced a gradual decline while the number of emotional tweets increased. We also showed that increasing new direct retweets from the influencers could effectively spread scientific evidence-based information in our hypothetical simulations.

中文翻译：

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模拟在 Twitter 上传播有关福岛核电站事故后辐射的信息

在社交媒体上传播信息是建设安全社会的关键问题。尤其是在紧急情况下，错误信息和不确定信息可能会导致社会混乱并对我们的生活造成重大损害。在这里，我们从 2011 年福岛核电站事故发生后的 130 万个帐户中的 2400 万条辐射相关推文构建了一个转发网络。然后我们模拟了网络上的信息传播，以探索传播科学准确信息的方法。我们的模拟复制了这样一个现实，即基于科学证据的推文数量逐渐减少，而情感推文的数量却在增加。