University Sétif 1 FERHAT ABBAS Faculty of Sciences
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Auteur Daoudi ,Bilel |
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Titre : Etude comparative de la profondeur d’une FakeNews entre Facebook et Twitter Type de document : texte imprimé Auteurs : Daoudi ,Bilel, Auteur ; Benaouda,Abdelhad, Directeur de thèse Editeur : Setif:UFA Année de publication : 2021 Importance : 1 vol (68 f .) Format : 29 cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique Index. décimale : 004 - Informatique Résumé :
With the technological revolution of the twenty-first century and the huge spread of
smartphones and as a result of the rapid growth of the Internet, particularly social media
sites, which have become an integral part of everyone’s life on the planet. Obtaining
information through these sites has become very familiar, but this matter leads us to
the problem of the spread of fake-news that often disturbed researchers and in various
fields, and caused by this this development and spread the problem moved to the field of
computer science, which makes many academics got interested in finding a way to reduce
the speed and the depth of the propagation of a fake-news.
And because, we are attracted by this initiative, we decided and based on the
characteristics of the user and the content of the information spreaded, to develop a model
based on the epidemiological model (SIR), that would be able to determine the depth of
the spread of information through the network by highlighting the role of influential users
in social media, as well as the association of common interests among users.
As a result, our contribution consists in developing a simulation model for this
phenomena. The SIR epidemic model has been improved by adding the multi-agent
systems paradigm and user characteristics. satisfying results were achieved once we
implemented our model in Netlogo.Côte titre : MAI/0476 En ligne : https://drive.google.com/file/d/1koHMtWW3IsETjEsyEtiz-M-UOoopF0uA/view?usp=shari [...] Format de la ressource électronique : Etude comparative de la profondeur d’une FakeNews entre Facebook et Twitter [texte imprimé] / Daoudi ,Bilel, Auteur ; Benaouda,Abdelhad, Directeur de thèse . - [S.l.] : Setif:UFA, 2021 . - 1 vol (68 f .) ; 29 cm.
Langues : Français (fre)
Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique Index. décimale : 004 - Informatique Résumé :
With the technological revolution of the twenty-first century and the huge spread of
smartphones and as a result of the rapid growth of the Internet, particularly social media
sites, which have become an integral part of everyone’s life on the planet. Obtaining
information through these sites has become very familiar, but this matter leads us to
the problem of the spread of fake-news that often disturbed researchers and in various
fields, and caused by this this development and spread the problem moved to the field of
computer science, which makes many academics got interested in finding a way to reduce
the speed and the depth of the propagation of a fake-news.
And because, we are attracted by this initiative, we decided and based on the
characteristics of the user and the content of the information spreaded, to develop a model
based on the epidemiological model (SIR), that would be able to determine the depth of
the spread of information through the network by highlighting the role of influential users
in social media, as well as the association of common interests among users.
As a result, our contribution consists in developing a simulation model for this
phenomena. The SIR epidemic model has been improved by adding the multi-agent
systems paradigm and user characteristics. satisfying results were achieved once we
implemented our model in Netlogo.Côte titre : MAI/0476 En ligne : https://drive.google.com/file/d/1koHMtWW3IsETjEsyEtiz-M-UOoopF0uA/view?usp=shari [...] Format de la ressource électronique : Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité MAI/0476 MAI/0476 Mémoire Bibliothéque des sciences Français Disponible
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