An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance

Christina Varghese, Aparna S. Varde, Xu Du

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper focuses on how populations by the use of technology, more specifically an app, can comprehend the enactment of ordinances (local laws) in an urban area along with their public reactions expressed as tweets. Furthermore, they can understand how well the area is developing and enhancing as a Smart City. The main goal of this research is to develop an Ordinance-Tweet Mining App that disseminates the results of analyzing ordinances and tweets about them, especially related to Smart City Characteristics such as Smart Environment, Smart Mobility etc. This app would be beneficial to various users such as environmental scientists, policy makers, city committees as well as the common public in becoming more aware of legislative bodies, and possibly contributing in different aspects to make the urban area improve as a Smart City. This work fits the realm of Smart Governance due to transparency via public involvement.

Original languageEnglish
Title of host publicationResponsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings
EditorsMarié Hattingh, Machdel Matthee, Hanlie Smuts, Ilias Pappas, Yogesh K. Dwivedi, Matti Mäntymäki
PublisherSpringer
Pages389-401
Number of pages13
ISBN (Print)9783030450014
DOIs
StatePublished - 1 Jan 2020
Event19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020 - Skukuza, South Africa
Duration: 6 Apr 20208 Apr 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12067 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020
CountrySouth Africa
CitySkukuza
Period6/04/208/04/20

Keywords

  • App development
  • Human Computer Interaction (HCI)
  • Legislative information
  • Opinion mining
  • Smart cities
  • Twitter data
  • Urban policy

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  • Cite this

    Varghese, C., Varde, A. S., & Du, X. (2020). An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance. In M. Hattingh, M. Matthee, H. Smuts, I. Pappas, Y. K. Dwivedi, & M. Mäntymäki (Eds.), Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings (pp. 389-401). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12067 LNCS). Springer. https://doi.org/10.1007/978-3-030-45002-1_34