Modeling news trust: A defeasible logic programming approach

Autores
Sagui, Fernando Martin; Maguitman, Ana Gabriela; Chesñevar, Carlos Iván; Simari, Guillermo Ricardo
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fil: Sagui, Fernando Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Simari, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Materia
PERSONALIZED NEWS
KNOWLEDGE REPRESENTATION AND REASONING
ARGUMENTATION
TRUST
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/117158
Acceder
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spelling Modeling news trust: A defeasible logic programming approachSagui, Fernando MartinMaguitman, Ana GabrielaChesñevar, Carlos IvánSimari, Guillermo RicardoPERSONALIZED NEWSKNOWLEDGE REPRESENTATION AND REASONINGARGUMENTATIONTRUSThttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Deciding 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 positionsFil: Sagui, Fernando Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; ArgentinaFil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; ArgentinaFil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; ArgentinaFil: Simari, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; ArgentinaSociedad Iberoamericana de Inteligencia Artificial2008-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/117158Sagui, Fernando Martin; Maguitman, Ana Gabriela; Chesñevar, Carlos Iván; Simari, Guillermo Ricardo; Modeling news trust: A defeasible logic programming approach; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 40; 8; 7-2008; 63-721137-36011988-3064CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journal.iberamia.org/public/Vol.1-14.html#2008info:eu-repo/semantics/altIdentifier/url/http://journaldocs.iberamia.org/articles/583/article%20(1).pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:22:25Zoai:ri.conicet.gov.ar:11336/117158instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:22:25.919CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling news trust: A defeasible logic programming approach
title Modeling news trust: A defeasible logic programming approach
spellingShingle Modeling news trust: A defeasible logic programming approach
Sagui, Fernando Martin
PERSONALIZED NEWS
KNOWLEDGE REPRESENTATION AND REASONING
ARGUMENTATION
TRUST
title_short Modeling news trust: A defeasible logic programming approach
title_full Modeling news trust: A defeasible logic programming approach
title_fullStr Modeling news trust: A defeasible logic programming approach
title_full_unstemmed Modeling news trust: A defeasible logic programming approach
title_sort Modeling news trust: A defeasible logic programming approach
dc.creator.none.fl_str_mv Sagui, Fernando Martin
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author Sagui, Fernando Martin
author_facet Sagui, Fernando Martin
Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_role author
author2 Maguitman, Ana Gabriela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author2_role author
author
author
dc.subject.none.fl_str_mv PERSONALIZED NEWS
KNOWLEDGE REPRESENTATION AND REASONING
ARGUMENTATION
TRUST
topic PERSONALIZED NEWS
KNOWLEDGE REPRESENTATION AND REASONING
ARGUMENTATION
TRUST
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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
Fil: Sagui, Fernando Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Chesñevar, Carlos Iván. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
Fil: Simari, Guillermo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
description 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
publishDate 2008
dc.date.none.fl_str_mv 2008-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/117158
Sagui, Fernando Martin; Maguitman, Ana Gabriela; Chesñevar, Carlos Iván; Simari, Guillermo Ricardo; Modeling news trust: A defeasible logic programming approach; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 40; 8; 7-2008; 63-72
1137-3601
1988-3064
CONICET Digital
CONICET
url http://hdl.handle.net/11336/117158
identifier_str_mv Sagui, Fernando Martin; Maguitman, Ana Gabriela; Chesñevar, Carlos Iván; Simari, Guillermo Ricardo; Modeling news trust: A defeasible logic programming approach; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 40; 8; 7-2008; 63-72
1137-3601
1988-3064
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journal.iberamia.org/public/Vol.1-14.html#2008
info:eu-repo/semantics/altIdentifier/url/http://journaldocs.iberamia.org/articles/583/article%20(1).pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedad Iberoamericana de Inteligencia Artificial
publisher.none.fl_str_mv Sociedad Iberoamericana de Inteligencia Artificial
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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