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自由贸易作为国内、经济和战略问题:一种大数据分析方法。

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

作者信息

Karim Moch Faisal, Rahutomo Reza, Manuaba Ida Bagus Kerthyayana, Purwandari Kartika, Mursitama Tirta Nugraha, Pardamean Bens

机构信息

Department of International Relations, Bina Nusantara University, Jakarta, Indonesia.

Information System Department, School of Information Systems, Bina Nusantara University, Jakarta, 11480 Indonesia.

出版信息

J Big Data. 2023;10(1):44. doi: 10.1186/s40537-023-00722-7. Epub 2023 Apr 14.

DOI:10.1186/s40537-023-00722-7
PMID:37089901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10104431/
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.

摘要

本文考察了国内行为体在围绕自由贸易谈判的公众对话中的参与情况,重点关注这些谈判被构建为经济、战略或国内问题的方式。为了分析这一主题,本文将推特的使用作为公众对《区域全面经济伙伴关系协定》(RCEP)情绪的晴雨表。我们运用主题分类和情感分析来了解在345,015条推文中RCEP是如何被讨论的。我们的研究结果表明,对RCEP的总体情绪得分是中性的。然而,我们发现,当RCEP被作为一个战略问题讨论时,其情绪比作为国内或经济问题讨论时略为负面。本文进一步表明,对RCEP的讨论是由对中国地缘政治野心的恐惧、国内保护主义议程以及RCEP对国内经济的影响所驱动的。本文有助于在理解贸易谈判中越来越多地使用大数据。此外,它通过研究国内政治行为体如何构建自由贸易谈判,为自由贸易谈判的研究做出了贡献。

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本文引用的文献

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Harvesting social media sentiment analysis to enhance stock market prediction using deep learning.利用深度学习挖掘社交媒体情感分析以增强股市预测
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