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

Christina Varghese; Aparna S. Varde; Xu Du

doi:10.1007/978-3-030-45002-1_34

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

Christina Varghese, Aparna S. Varde, Xu Du

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

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 language	English
Title of host publication	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
Editors	Marié Hattingh, Machdel Matthee, Hanlie Smuts, Ilias Pappas, Yogesh K. Dwivedi, Matti Mäntymäki
Publisher	Springer
Pages	389-401
Number of pages	13
ISBN (Print)	9783030450014
DOIs	https://doi.org/10.1007/978-3-030-45002-1_34
State	Published - 2020
Event	19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020 - Skukuza, South Africa Duration: 6 Apr 2020 → 8 Apr 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12067 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020
Country/Territory	South Africa
City	Skukuza
Period	6/04/20 → 8/04/20

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-45002-1_34

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

Varghese, Christina ; Varde, Aparna S. ; Du, Xu. / An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance. 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. editor / Marié Hattingh ; Machdel Matthee ; Hanlie Smuts ; Ilias Pappas ; Yogesh K. Dwivedi ; Matti Mäntymäki. Springer, 2020. pp. 389-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance",

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.",

keywords = "App development, Human Computer Interaction (HCI), Legislative information, Opinion mining, Smart cities, Twitter data, Urban policy",

author = "Christina Varghese and Varde, {Aparna S.} and Xu Du",

note = "Publisher Copyright: {\textcopyright} 2020, IFIP International Federation for Information Processing.; 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020 ; Conference date: 06-04-2020 Through 08-04-2020",

year = "2020",

doi = "10.1007/978-3-030-45002-1_34",

language = "English",

isbn = "9783030450014",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "389--401",

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booktitle = "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",

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Varghese, C, Varde, AS & 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, YK 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12067 LNCS, Springer, pp. 389-401, 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Skukuza, South Africa, 6/04/20. https://doi.org/10.1007/978-3-030-45002-1_34

An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance. / Varghese, Christina; Varde, Aparna S.; Du, Xu.
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. ed. / Marié Hattingh; Machdel Matthee; Hanlie Smuts; Ilias Pappas; Yogesh K. Dwivedi; Matti Mäntymäki. Springer, 2020. p. 389-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12067 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance

AU - Varghese, Christina

AU - Varde, Aparna S.

AU - Du, Xu

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - App development

KW - Human Computer Interaction (HCI)

KW - Legislative information

KW - Opinion mining

KW - Smart cities

KW - Twitter data

KW - Urban policy

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U2 - 10.1007/978-3-030-45002-1_34

DO - 10.1007/978-3-030-45002-1_34

M3 - Conference contribution

AN - SCOPUS:85084917864

SN - 9783030450014

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 401

BT - 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

A2 - Hattingh, Marié

A2 - Matthee, Machdel

A2 - Smuts, Hanlie

A2 - Pappas, Ilias

A2 - Dwivedi, Yogesh K.

A2 - Mäntymäki, Matti

PB - Springer

T2 - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020

Y2 - 6 April 2020 through 8 April 2020

ER -

Varghese C, Varde AS, Du X. An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance. In Hattingh M, Matthee M, Smuts H, Pappas I, Dwivedi YK, Mäntymäki M, editors, 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. Springer. 2020. p. 389-401. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-45002-1_34

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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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