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Does the fluency of its name affect social media sentiment towards a company?

Mini Dissertation (MBA)--University of Pretoria, 2016.

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Other Authors: Price, Gavin
Format: Thesis
Language:English
Published: University of Pretoria 2016
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access_status_str Open Access
author2 Price, Gavin
author_browse Price, Gavin
author_facet Price, Gavin
collection Thesis
dc_rights_str_mv © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria
description Mini Dissertation (MBA)--University of Pretoria, 2016.
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institution University of Pretoria (South Africa)
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license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
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spelling oai:repository.up.ac.za:2263/52389 Does the fluency of its name affect social media sentiment towards a company? Price, Gavin ichelp@gibs.co.za Gatawa, Tatenda UCTD Mini Dissertation (MBA)--University of Pretoria, 2016. Research Purpose : The recent change in name by Google to Alphabet sparked a worldwide interest. This research studies the extent to which stock sentiment data expressed online is influenced by the fluency of the corporates name. It is concerned with the extent to which seemingly banal factors that affect human sentiments create bias in opinions that are formed online. The research is carried out at a time in which the online environment and crowdsourcing are increasingly competing with traditional business models and platforms for primacy. The purpose of this report is to quantify the extent to which crowd sourced stock sentiment data obtained from online sources is subject to bias resulting from the effect of spurious variables that are unrelated to the underlying fundamentals of the company. The biasing variable studied in this instance is the linguistic fluency of the corporates name. Research Methodology : The study adopted a purely quantitative approach. Analysis was done using SAS Research Findings : The research conducted makes a key finding that shows empirically that social media stock sentiment data are more influenced by the spurious effect of fluency of corporate name than are stock sentiments generated by traditional expert communities. This finding flies in the face of an increasingly adopted thesis that postulates superior intelligence can be obtained from an aggregation of unstructured crowd-sourced data. The research conducted also makes a key finding that the model of sentiment does not predict equally well at all levels of sentiment models are better at identifying highly recommended equities than they are at identifying those that are not pa2016 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2016-05-04T13:46:10Z 2016-05-04T13:46:10Z 2016-03-30 2016 Mini Dissertation Gatawa, T 2016, Does the fluency of its name affect social media sentiment towards a company?, MBA Mini-dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/52389> GIBS http://hdl.handle.net/2263/52389 en © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria application/pdf University of Pretoria
spellingShingle UCTD
Does the fluency of its name affect social media sentiment towards a company?
title Does the fluency of its name affect social media sentiment towards a company?
title_full Does the fluency of its name affect social media sentiment towards a company?
title_fullStr Does the fluency of its name affect social media sentiment towards a company?
title_full_unstemmed Does the fluency of its name affect social media sentiment towards a company?
title_short Does the fluency of its name affect social media sentiment towards a company?
title_sort does the fluency of its name affect social media sentiment towards a company
topic UCTD
url http://hdl.handle.net/2263/52389