Show simple item record

dc.contributor.authorClohessy, Trevor
dc.contributor.authorCallinan, Colin
dc.contributor.authorActon, Thomas
dc.contributor.authorWhelan, Eoin
dc.contributor.authorScott, Murray
dc.identifier.citationClohessy, Trevor, Callinan, Colin, Acton, Thomas, Whelan, Eoin, & Scott, Murray. (2017). An analysis of the 2016 American presidential nominees’ tweets: A magical realism perspective. Paper presented at the ICIS 2017 International Conference on Information Systems Seoul, Korea.en_IE
dc.description.abstractTwitter is the latest social networking tool said to be reshaping political presidential campaigns. In order to maximize the influence of their messages to voters, presidential nominees often use various techniques to transmit their campaign messages in the most effective way to the electorate. However, there is little scholarship on the use of Twitter as a strategic tool for presidential political campaigns. Using a nuanced magical realism theoretical perspective, this paper seeks to fill this gap through a content analysis of several of the presidential campaign nominees tweets, Donald Trump, Hillary Clinton and Jill Stein, in the six months leading up to election day on November 8th, 2016. Consequently, this study provides a methodological contribution pertaining to the utilization of magical realism to understand how Twitter is shaping the new political landscape. Furthermore, it provides an illustration of the application of specific techniques which underpin the magical realism concept and how they can be applied by other information system researchers.en_IE
dc.publisherNUI Galwayen_IE
dc.relation.ispartofInternational Conference on Information Systems (ICIS)en
dc.subjectPresidential campaignen_IE
dc.subjectMagical realismen_IE
dc.subjectInformation systemsen_IE
dc.titleAn analysis of the 2016 American presidential nominees' tweets: A magical realism perspectiveen_IE
dc.typeConference Paperen_IE
dc.local.contactTrevor Clohessy, Whitaker Institute, Nui Galway. Email:

Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:


This item appears in the following Collection(s)

Show simple item record