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Experiment for Analysing the Impact of Financial Events on Twitter

Chapter Number: 
3
Authors: 
Ana Vilas
Majdi Owda
Keeley Crockett
Rebeca P. Díaz Redondo
Lewis Evans
Pages From: 
407
To: 
419
Book Title: 
Algorithms and Architectures for Parallel Processing
Editor(s): 
Shadi Ibrahim
Kim-Kwang Raymond
Publisher: 
Springer
Edition: 
1
Date: 
Friday, August 11, 2017
Abstract: 
Twitter, as the heart of publicly accessible Social Media, is one of the currently used platforms to share financial information and is a valuable source of information for different roles in the financial market. For all these roles, the quality analysis of Twitter as a source of financial information is essential to take decisions. The work in this paper is aligned with the ongoing work of the authors to a solution for irregularity monitoring in the financial market by harnessing data in online social media. To do so, the permeability of a variety of social media data feeders to financial irregularities should be analysed. That is the case of the experiment in this paper by putting the focus on Twitter microblogging platform and checking if this general purpose social media is permeable to a specific financial event. For this, we detail the analysis of Twitter permeability to a specific event in the past few months: the announcement about the merge of Tesco and Booker to create a UK’s Leading Food Business on the 27th January 2017. Both companies Tesco PLC and Booking Group PLC are listed in the main market of LSE (London Stock Exchange). Our findings provide promising evidences to address the problem of real-time detection of irregularities in the financial market via Twitter according to the volume (as a sign of the importance of the irregularity) and to other features (as signs of the potential origin causing the irregularity).