Modeling News Trust: A Defeasible Logic Programming Approach

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Autor principal: Fernando M. Sagui
Formato: Artículo científico
Lenguaje:en
Publicado: Asociación Española para la Inteligencia Artificial 2008
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author Fernando M. Sagui
author_facet Fernando M. Sagui
contents Modeling News Trust: A Defeasible Logic Programming Approach Fernando M. Sagui Ana G. Maguitman Carlos I. Chesñevar Guillermo R. Simari Ingeniería Web trust pluralism credibility argumentation Deciding whether to trust an information sources on the Web has been recognized as one of the main problems in today's Information Society. In particular, assessing the credibility of news is a major research challenge. Typically, criteria such as freshness, relevance and viewer profile have been used by news services to rank news. However, these services do not deal with credibility from a qualitative perspective, and do not provide mechanisms to cope with controversial news reports. To fill this gap, this paper proposes a novel framework that brings the notions of trust and pluralism into play. In our proposal, we integrate dialectical reasoning into a news recommender system. The system is based on a set of basic principles characterizing the nature of trust. We use Defeasible Logic Programming (DeLP), a general-purpose defeasible argumentation formalism based on logic programming, to model the notion of trust. Our approach helps identify antagonism among sources of news and facilitates the analysis of opposing positions. 2008 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92513191005 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.40 Vol.12
format Artículo científico
id redalyc_92513191005
institution Redalyc
language en
publishDate 2008
publisher Asociación Española para la Inteligencia Artificial
spellingShingle Modeling News Trust: A Defeasible Logic Programming Approach
Fernando M. Sagui
Ingeniería
Web
trust
pluralism
credibility
argumentation
Modeling News Trust: A Defeasible Logic Programming Approach Fernando M. Sagui Ana G. Maguitman Carlos I. Chesñevar Guillermo R. Simari Ingeniería Web trust pluralism credibility argumentation Deciding whether to trust an information sources on the Web has been recognized as one of the main problems in today's Information Society. In particular, assessing the credibility of news is a major research challenge. Typically, criteria such as freshness, relevance and viewer profile have been used by news services to rank news. However, these services do not deal with credibility from a qualitative perspective, and do not provide mechanisms to cope with controversial news reports. To fill this gap, this paper proposes a novel framework that brings the notions of trust and pluralism into play. In our proposal, we integrate dialectical reasoning into a news recommender system. The system is based on a set of basic principles characterizing the nature of trust. We use Defeasible Logic Programming (DeLP), a general-purpose defeasible argumentation formalism based on logic programming, to model the notion of trust. Our approach helps identify antagonism among sources of news and facilitates the analysis of opposing positions. 2008 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92513191005 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.40 Vol.12
title Modeling News Trust: A Defeasible Logic Programming Approach
topic Ingeniería
Web
trust
pluralism
credibility
argumentation
url https://www.redalyc.org/articulo.oa?id=92513191005