Modeling News Trust: a Defeasible Logic Programming Approach
- Autores: Fernando Martin Sagui, Ana Gabriela Maguitman, Carlos I. Chesñevar, Guillermo Ricardo Simari
- Localización: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN-e 1988-3064, ISSN 1137-3601, Vol. 12, Nº. 40, 2008, págs. 63-72
- Idioma: inglés
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Resumen
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.
