Saved in:
Bibliographic Details
Main Author: K. Grosse
Format: Artículo científico
Language:en
Published: Asociación Española para la Inteligencia Artificial 2012
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=92524944005
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • Empowering an E-Government Platform Through Twitter-Based Arguments K. Grosse C. Chesñevar A. Maguitman E. Estevez Ingeniería government Social media Argumentation Social networks have grown exponentially in use and have gained a remarkable impact on the society as a whole. In particular, microblogging platforms such as Twitter have become important tools to assess public opinion on different issues. Recently, some approaches for assessing Twitter messages have been developed. However, such approaches have an important limitation, as they do not take into account contradictory and potentially inconsistent information which might emerge from relevant messages. We contend that the information made available in Twitter can be useful for modeling arguments which emerge bottom-up from the social interaction associated with such messages, thus enabling an integration between Twitter and defeasible argumentation. In this paper, we outline the main elements characterizing this integration in the context of a particular e-government platform (Decide 2.0). As a result, we will be able to obtain an “opinion tree”, rooted in the first original query, in a similar way as done with dialectical trees in argumentation. The main contribution of this paper is the proposal of a method for building arguments from aggregated opinions. This leads to the design of a novel platform that makes it possible to explore collective opinions in a more meaningful and systematic manner. 2012 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92524944005 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.50 Vol.15