ABSTRACT
Nowadays, governments are adopting Web 2.0 technologies for interacting with citizens, empowering them to share their views, react to issues of their concern and form opinion. In particular, social media play an important role in this context, due to their widespread use. For governments, a major technical challenge is the lack of automated intelligent tools for processing citizens' opinion in government social media. At the same time, during the last decade, argumentation theory has consolidated itself in Artificial Intelligence as a new paradigm for modeling common sense reasoning, with application in several areas, such as legal reasoning, multiagent systems, and decision support systems, among others. This paper outlines an argument-based approach for overcoming such challenge, combined with context-based information retrieval. Our ultimate aim is to combine context-based search and argumentation in a collaborative framework for managing (retrieving and publishing) service- and policy-related information in government-use social media tools.
- O'Reilly, T. Government as a Platform. Innovations, vol 6, no.1, pp 13--40,2010.Google ScholarCross Ref
- DiMaio, A., Government 2.0: A Gartner Definition, 2009. http://blogs.gartner.eom/andrea_dimaio/2009/11/13/government-2-0-a-gartner-definition/, last retrieved 28 February 2012.Google Scholar
- Bonson, E., Torres, L., Royo, S., and Flores, F., Local e-Government 2.0: Social Media and Corporate Transparency in Municipalities, Government Information Quarterly, vol. 29, pp 123--132, 2012.Google ScholarCross Ref
- Government of Singapore, Government Social Media Directory, available at: http://www.socialmedia.gov.sg/Web/Home/Default.aspx, last retrieved 15 April 2012.Google Scholar
- Bertot, J. C, Jaeger, P. T, and Hansen, D., The Impact of Polices on Government Social Media Usage: Issues, Challenges, and Recommendations, Government Information Quarterly, vol. 29, pp 30--40, 2012.Google ScholarCross Ref
- Lorenzetti, C., Maguitman, A. A Semi-supervised Incremental Algorithm to Automatically Formulate Topical Queries. Information Science. Elsevier. 179 (12), 2009. Google ScholarDigital Library
- Simari, G., Rahwan, I. (eds), Argumentation in Artificial Intelligence, Springer Verlag, 2009. Google ScholarDigital Library
- Estévez, E., Chesñevar, C., Maguitman, A., Brena, R. DECIDE 2.0 -- A Framework for Intelligent Processing of Citizens' Opinion in Social Media. In Proc. dg.o 2012, Maryland, USA, pp.266--267, ACM Press, 2012. Google ScholarDigital Library
- Guo, L., Lease, M. Personalizing Local Search with Twitter. SIGIR 2011 Workshop on Enriching Information Retrieval (ENTR 2011). July 24--28, 2011, Beijing, China. Available at: http://select.cs.cmu.edu/meetings/enir2011/papers/guolease.pdf.Google Scholar
- Maguitman, A., Leake, D., Reichherzer, T., Suggesting novel but related topics: towards context-based support for knowledge model extension, Proc. of the 10th IUI Confi., San Diego, California, USA, January 2005. Google ScholarDigital Library
- Twitter Sentiment Corpus, available at: http://www.sananalytics.com/lab/twitter-sentiment/, retrieved April 2012.Google Scholar
- Bing Liu. "Sentiment Analysis: A Multifaceted Problem." IEEE Intelligent Systems, 25(3), pp. 76--80, 2010.Google Scholar
- Maguitman, A., Leake, D., Reichherzer, T., Menczer, F. Dynamic Extraction of Topic Descriptors and Discriminators: Towards Automatic Context-Based Topic Search. Proceedings of the 13th CKM Conf.. ACM Press. Washington, DC, USA, November 2004 Google ScholarDigital Library
- García, A., Simari, G. Defeasible Logic Programming: An Argumentative Approach. Theory and Practice of Logic Programming 4(1-2): 95--138, 2004. Google ScholarDigital Library
- Chesñevar, C., Maguitman, A, Simari, G. Recommender Systems based on Argumentation, in "Emerging Artificial Intelligence Applications in Computer Engineering". Maglogiannis et al (eds). Frontiers in Artificial Intelligence and Applications, Vol. 160, pp. 53--70.. IOS Press, 2007. Google ScholarDigital Library
- Galitsky, B., McKenna, E. Sentiment Extraction from Consumer Reviews for Providing Product Recommendations. US Patent Application US 2009/0282019 A1Google Scholar
Index Terms
- Integrating argumentation technologies and context-based search for intelligent processing of citizens' opinion in social media
Recommendations
Engaging citizens through social media: how state governors in Nigeria are doing
ICEGOV '14: Proceedings of the 8th International Conference on Theory and Practice of Electronic GovernanceThere is a growing move by government leaders in Nigeria to showcase their social media presence in personal communications or official government websites. However, the motive for using social media is not clear. Is it to take advantage of the power of ...
DECIDE 2.0: a framework for intelligent processing of citizens' opinion in social media
dg.o '12: Proceedings of the 13th Annual International Conference on Digital Government ResearchSocial media is one of Web 2.0 tools that governments are adopting for interacting with citizens. Through their use, citizens are able to share their views, react to issues of their concern and form opinion. However, despite the infusion of such tools ...
Open government and e-government: democratic challenges from a public value perspective
Special issue on Open Government and Public Participation: Issues and Challenges in Creating Public ValueWe argue that the Obama Administration's Open Government Initiative blurs distinctions between e-democracy and e-government by incorporating historically democratic practices. now enabled by emerging technology. within administrative agencies. We ...
Comments