Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes

作者：

Highlights：

• Twitter has potential as a real-time barometer of public sentiment towards international negotiating outcomes.

• SA can operationalise and decipher collective preferences to inform decision making in negotiations.

• Applied to Brexit positive emotion is associated with ‘soft’ types of Brexit.

• Applied to Brexit negative emotion is associated with ‘hard’ types of Brexit and ‘no deal’

摘要

•Twitter has potential as a real-time barometer of public sentiment towards international negotiating outcomes.•SA can operationalise and decipher collective preferences to inform decision making in negotiations.•Applied to Brexit positive emotion is associated with ‘soft’ types of Brexit.•Applied to Brexit negative emotion is associated with ‘hard’ types of Brexit and ‘no deal’

论文关键词：Big data analytics,Sentiment analysis,International negotiations,Brexit,Decision making,Policy making

论文评审过程：Received 16 July 2019, Revised 21 October 2019, Accepted 26 November 2019, Available online 18 December 2019, Version of Record 24 February 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.102048