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

We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of international negotiations, through an application to the case of the UK-EU Brexit negotiations and the use of Twitter user sentiment. We show that SA of tweets has potential as a real-time barometer of public sentimen...

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Main Authors:	Elena Georgiadou, Spyros Angelopoulos, Helen Drake
Format:	Default Article
Published:	2019
Subjects:	Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Library and information studies not elsewhere classified Big data analytics Sentiment analysis International negotiations Brexit Decision making Policy making Information Systems Library and Information Studies Distributed Computing
Online Access:	https://hdl.handle.net/2134/11278526.v1
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id	rr-article-11278526
record_format	Figshare
spelling	rr-article-112785262019-12-18T00:00:00Z Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes Elena Georgiadou (1250367) Spyros Angelopoulos (8050916) Helen Drake (1252419) Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Library and information studies not elsewhere classified Big data analytics Sentiment analysis International negotiations Brexit Decision making Policy making Information Systems Library and Information Studies Distributed Computing We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of international negotiations, through an application to the case of the UK-EU Brexit negotiations and the use of Twitter user sentiment. We show that SA of tweets has potential as a real-time barometer of public sentiment towards negotiating outcomes to inform government decision-making. Despite the increasing need for information on collective preferences regarding possible negotiating outcomes, negotiators have been slow to capitalise on BDA. Through SA on a corpus of 13,018,367 tweets on defined Brexit hashtags, we illustrate how SA can provide a platform for decision-makers engaged in international negotiations to grasp collective preferences. We show that BDA and SA can enhance decision-making and strategy in public policy and negotiation contexts of the magnitude of Brexit. Our findings indicate that the preferred or least preferred Brexit outcomes could have been inferred by the emotions expressed by Twitter users. We argue that BDA can be a mechanism to map the different options available to decision-makers and bring insights to and inform their decision-making. Our work, thereby, proposes SA as part of the international negotiation toolbox to remedy for the existing informational gap between decision makers and citizens’ preferred outcomes. 2019-12-18T00:00:00Z Text Journal contribution 2134/11278526.v1 https://figshare.com/articles/journal_contribution/Big_data_analytics_and_international_negotiations_sentiment_analysis_of_Brexit_negotiating_outcomes/11278526 CC BY 4.0
institution	Loughborough University
collection	Figshare
topic	Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Library and information studies not elsewhere classified Big data analytics Sentiment analysis International negotiations Brexit Decision making Policy making Information Systems Library and Information Studies Distributed Computing
spellingShingle	Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Library and information studies not elsewhere classified Big data analytics Sentiment analysis International negotiations Brexit Decision making Policy making Information Systems Library and Information Studies Distributed Computing Elena Georgiadou Spyros Angelopoulos Helen Drake Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes
description	We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of international negotiations, through an application to the case of the UK-EU Brexit negotiations and the use of Twitter user sentiment. We show that SA of tweets has potential as a real-time barometer of public sentiment towards negotiating outcomes to inform government decision-making. Despite the increasing need for information on collective preferences regarding possible negotiating outcomes, negotiators have been slow to capitalise on BDA. Through SA on a corpus of 13,018,367 tweets on defined Brexit hashtags, we illustrate how SA can provide a platform for decision-makers engaged in international negotiations to grasp collective preferences. We show that BDA and SA can enhance decision-making and strategy in public policy and negotiation contexts of the magnitude of Brexit. Our findings indicate that the preferred or least preferred Brexit outcomes could have been inferred by the emotions expressed by Twitter users. We argue that BDA can be a mechanism to map the different options available to decision-makers and bring insights to and inform their decision-making. Our work, thereby, proposes SA as part of the international negotiation toolbox to remedy for the existing informational gap between decision makers and citizens’ preferred outcomes.
format	Default Article
author	Elena Georgiadou Spyros Angelopoulos Helen Drake
author_facet	Elena Georgiadou Spyros Angelopoulos Helen Drake
author_sort	Elena Georgiadou (1250367)
title	Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes
title_short	Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes
title_full	Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes
title_fullStr	Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes
title_full_unstemmed	Big data analytics and international negotiations: sentiment analysis of Brexit negotiating outcomes
title_sort	big data analytics and international negotiations: sentiment analysis of brexit negotiating outcomes
publishDate	2019
url	https://hdl.handle.net/2134/11278526.v1
_version_	1797551152410132480

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

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