%0 Conference Proceedings
%T Deep Analyzing Public Conversations: Insights from Twitter Analytics for Policy Makers
%+ Indian Institute of Technology Delhi (IIT Delhi)
%A Joseph, Nimish
%A Grover, Purva
%A Rao, Polaki, Kishor
%A Ilavarasan, P., Vigneswara
%Z Part 3: Analytics for Smart Governance
%< 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 239-250
%8 2017-11-21
%D 2017
%R 10.1007/978-3-319-68557-1_22
%K Analytics
%K Social media analytics
%K Descriptive analytics
%K Content analytics
%K Network analytics
%K Hashtag
%K Demonetization
%K GST
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X The paper argues for use of Twitter analytics in the study of public policy. Twitter as a social media platform is widely used by many users to express their emotions on various issues. Governments are now realizing the need for social media for administrative purposes and information proliferation to the general public. However, the extent of knowledge among policy makers, about gathering insights from citizen conversations on various social media platforms needs improvement. This research discusses Twitter analytics for two different use cases namely ‘Demonetization’ and ‘GST’, where citizen engagement and conversations are monitored, to gain insights. These use cases vary in terms of focus, volume, velocity, veracity, time frame, location, and networked-ness. Possible inferences are presented to gain insights and to help in the policy making process.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01768515/document
%2 https://inria.hal.science/hal-01768515/file/978-3-319-68557-1_22_Chapter.pdf
%L hal-01768515
%U https://inria.hal.science/hal-01768515
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-I3E
%~ IFIP-LNCS-10595