%0 Conference Proceedings
%T The Untold Story of USA Presidential Elections in 2016 - Insights from Twitter Analytics
%+ Indian Institute of Technology Delhi (IIT Delhi)
%+ Swansea University
%+ Delft University of Technology (TU Delft)
%A Grover, Purva
%A Kar, Arpan, Kumar
%A Dwivedi, Yogesh, K.
%A Janssen, Marijn
%Z Part 4: Social Media and Web 3.0 for Smartness
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th Conference on e-Business, e-Services and e-Society (I3E)
%C Delhi, India
%Y Arpan Kumar Kar
%Y P. Vigneswara Ilavarasan
%Y M. P. Gupta
%Y Yogesh K. Dwivedi
%Y Matti Mäntymäki
%Y Marijn Janssen
%Y Antonis Simintiras
%Y Salah Al-Sharhan
%I Springer International Publishing
%3 Digital Nations – Smart Cities, Innovation, and Sustainability
%V LNCS-10595
%P 339-350
%8 2017-11-21
%D 2017
%R 10.1007/978-3-319-68557-1_30
%K Social media
%K Social media analytics
%K Twitter analytics
%K Information propagation
%K Public policy
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Elections are the most critical events for any nation and paves the path for future growth and prosperity of the economy. Due to its high impact, a lot of discussions take place among all stakeholders in social media. In this study, we attempt to examine the discussions surrounding USA Election, 2016 in Twitter. Further we highlight some of the domains influencing the voter behaviour by applying the outcome of Twitter analytics to Newman and Sheth’s model of Voter Choice. Through the analysis of 784,153 tweets from 287,838 users over 18 weeks, we present interesting findings on what may have affected the polarization of USA elections.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01768501/document
%2 https://inria.hal.science/hal-01768501/file/978-3-319-68557-1_30_Chapter.pdf
%L hal-01768501
%U https://inria.hal.science/hal-01768501
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-I3E
%~ IFIP-LNCS-10595