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Deciphering Public Opinion of Nuclear Energy on Twitter

机译：在Twitter上解读核能的公众意见

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This paper explores nuclear energy-related Twitter discussions as a response to the 2011 Fukushima Nuclear Disaster and the 2017 Nobel Peace Prize won by the International Campaign to Abolish Nuclear Weapons. We have considered a total of 2 million tweets for these two events. In particular, we employed CNN, LSTM, and Bi-LSTM to investigate whether social media users are supportive or cynical about nuclear energy. Our AI algorithms have performed better for polarity detection (accuracy in the range of 90%) with respect to subjectivity detection (accuracy in the range of 75%). We also note that dominant aspects of supporting tweets revolve around concepts like clean energy, lower CO2 emission, and sustainable future. On the contrary, cynical users see nuclear energy as a threat to the environment, human life, and safety.
机译：本文探讨了与核能相关的Twitter讨论，以回应2011年福岛核灾难和国际废除核武器运动获得的2017年诺贝尔和平奖。我们已经为这两个事件考虑了总计200万条推文。特别是，我们采用了CNN，LSTM和Bi-LSTM来调查社交媒体用户对核能的支持还是持怀疑态度。与主观检测（准确性在75％范围内）相比，我们的AI算法在极性检测（准确性在90％范围内）方面表现更好。我们还注意到，支持推文的主要方面围绕着清洁能源，降低二氧化碳排放和可持续未来等概念。相反，愤世嫉俗的用户将核能视为对环境，人类生命和安全的威胁。

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