Free trade as domestic, economic, and strategic issues: a big data analytics approach

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Abstract

This article examines the engagement of domestic actors in public conversation surrounding free trade negotiations with a focus on the framing of these negotiations as economic, strategic or domestic issues. To analyse this topic, this article utilises the use of Twitter as a barometer of public sentiment toward the Regional Comprehensive Economic Partnership (RCEP). We employ topic classification and sentiment analysis to understand how RCEP is discussed in 345,015 tweets. Our findings show that the overall sentiment score towards RCEP is neutral. However, we find that when RCEP is discussed as a strategic issue, the sentiment is slightly more negative than when discussed as a domestic or economic issue. This article further suggests that discussion of RCEP is driven by the fear of China’s geopolitical ambitions, domestic protectionist agendas, and impact of RCEP on the domestic economy. This article contributes to the growing use of big data in understanding trade negotiations. Furthermore, it contributes to the study of free trade negotiation by examining how domestic political actors frame free trade negotiations.

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APA

Karim, M. F., Rahutomo, R., Manuaba, I. B. K., Purwandari, K., Mursitama, T. N., & Pardamean, B. (2023). Free trade as domestic, economic, and strategic issues: a big data analytics approach. Journal of Big Data, 10(1). https://doi.org/10.1186/s40537-023-00722-7

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