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Empowering citizens through opinion mining from twitter-based arguments

Published: 27 October 2014 Publication History

Abstract

Several participation initiatives are been conducted by many governments around the world, following the open government trend. Despite of the wide range and variety of such initiatives, most of them face a common technical challenge: lack of appropriate technical tools to automatically summarize stakeholders' opinions and discussions. This paper focuses on some recent contributions within a recent e-Participation framework, namely Electronic Empowerment (E2) Participation. This concept was coined as part of a multi-disciplinary research project, aiming at integrating Artificial Intelligence and Software Engineering techniques and tools with Electronic Governance models and principles to design innovative tools for e-Participation. The main contribution of this ongoing research paper is an outline of a novel algorithmic characterization for opinion mining, which is being developed within the E2 framework.

References

[1]
C. Chesñevar, A. Maguitman, E. Estévez, and R. Brena. Integrating Argumentation Technologies and Context-Based Search for Intelligent Processing of Citizens' Opinion in Social Media. In Proc. ICEGOV 2012, Albany, NY, USA, October 2012, pp. 171--174, 2012.
[2]
N. Osman, C. Sierra, F. McNeill, J. Pane, and J. Debenham. Trust and Matching Algorithms for Selecting Suitable Agents, ACM Transactions on Intelligent Systems and Technology 5(1): 16 (2013).
[3]
C. Chesñevar, A. Maguitman, E. Estevez, N. Osman, C. Sierra: E2 participation: electronically empowering citizens for social innovation through agreement technologies. DG.O 2013: 279--280
[4]
S. Ossowski (ed.). Handbook of Agreement Technologies, volume 8 of Law, Governance and Technology, Springer, New York, January 2013.
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F. Steibel, E. Estevez: Designing argumentative metrics for online consultation portals in Brazil. DG.O 2012: 272--273
[6]
Argumentation in Artificial Intelligence. I. Rahwan, G. Simari (Eds.). Springer, 2009.
[7]
K. Grosse, M. González, C. Chesñevar, A. Maguitman Integrating Argumentation and Sentiment Analysis for Mining Opinions from Twitter. In AI Communications, IOS Press (in press), 2014.
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Toulmin, S. (1959). The uses of argument. Cambridge: Cambridge University Press.

Cited By

View all
  • (2022)Computational Argumentation for Supporting Learning Processes: Applications and ChallengesHandbook on Intelligent Techniques in the Educational Process10.1007/978-3-031-04662-9_9(161-183)Online publication date: 16-Jun-2022
  • (2016)Opinion Aggregation and Conflict Resolution in E-Government PlatformsInterdisciplinary Perspectives on Contemporary Conflict Resolution10.4018/978-1-5225-0245-6.ch011(183-203)Online publication date: 2016
  • (2016)Citymis OpTreeProceedings of the 9th International Conference on Theory and Practice of Electronic Governance10.1145/2910019.2910040(250-253)Online publication date: 1-Mar-2016

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Published In

cover image ACM Other conferences
ICEGOV '14: Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance
October 2014
563 pages
ISBN:9781605586113
DOI:10.1145/2691195
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Macao Foundation, Macao SAR Govt: Macao Foundation, Macao SAR Government
  • Municipio de Guimarães: Municipio de Guimarães

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2014

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Author Tags

  1. agreement technologies
  2. argumentation
  3. e-participation
  4. electronic governance
  5. social media

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  • Research-article

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ICEGOV2014
Sponsor:
  • Macao Foundation, Macao SAR Govt
  • Municipio de Guimarães

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ICEGOV '14 Paper Acceptance Rate 30 of 73 submissions, 41%;
Overall Acceptance Rate 350 of 865 submissions, 40%

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Cited By

View all
  • (2022)Computational Argumentation for Supporting Learning Processes: Applications and ChallengesHandbook on Intelligent Techniques in the Educational Process10.1007/978-3-031-04662-9_9(161-183)Online publication date: 16-Jun-2022
  • (2016)Opinion Aggregation and Conflict Resolution in E-Government PlatformsInterdisciplinary Perspectives on Contemporary Conflict Resolution10.4018/978-1-5225-0245-6.ch011(183-203)Online publication date: 2016
  • (2016)Citymis OpTreeProceedings of the 9th International Conference on Theory and Practice of Electronic Governance10.1145/2910019.2910040(250-253)Online publication date: 1-Mar-2016

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