Nuclear energy: Twitter data mining for social listening analysis

Knowing the presence, attitude and sentiment of society is important to promote policies and actions that influence the development of different energy sources and even more so in the case of an energy source such as nuclear, which has not been without controversy in recent years. The purpose of thi...

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Bibliographic Details
Published in:Social network analysis and mining 2023-02, Vol.13 (1), p.29-29
Main Authors: Zarrabeitia-Bilbao, Enara, Jaca-Madariaga, Maite, Rio-Belver, Rosa María, Álvarez-Meaza, Izaskun
Format: Article
Language:English
Subjects:
Alternative energy
Artificial neural networks
Communication
Data mining
Disasters
Emotions
Energy resources
Energy sources
Invasions
Iodine
Listening
Natural gas prices
Network analysis
Neural networks
Nuclear energy
Nuclear power plants
Nuclear reactor components
Nuclear reactors
Original
Public opinion
Raw materials
Shutdowns
Social network analysis
Social networks
Society
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Summary:Knowing the presence, attitude and sentiment of society is important to promote policies and actions that influence the development of different energy sources and even more so in the case of an energy source such as nuclear, which has not been without controversy in recent years. The purpose of this paper was to conduct a social listening analysis of nuclear energy using Twitter data mining. A total of 3,709,417 global tweets were analyzed through the interactions and emotions of Twitter users throughout a crucial year: 6 months before and 6 months after the beginning of Russian invasion of Ukraine and the first attack on the Zaporizhzhia NPP. The research uses a novel approach to combine social network analysis methods with the application of artificial neural network models. The results reveal the digital conversation is influenced by the Russian invasion of Ukraine. However, tweets containing personal opinions of influential people also manage to enter the digital conversation, defining the magnitude and direction of the debate. The digital conversation is not constructed as a public argument. Generally, it is a conversation with non-polarized communities (politics, business, science and media); neither armed conflict or military threats against Zaporizhzhia NPP succeed in rousing anti-nuclear voices, even though these events do modify the orientation of the sentiment in the language used, making it more negative.
ISSN:1869-5450
1869-5469
DOI:10.1007/s13278-023-01033-8