DC Field | Value | Language |
dc.contributor.author | MENAA, Ilyas | - |
dc.contributor.author | BERKANI, AMir SEif El ISlam | - |
dc.date.accessioned | 2024-09-24T09:24:16Z | - |
dc.date.available | 2024-09-24T09:24:16Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | https://repository.esi-sba.dz/jspui/handle/123456789/658 | - |
dc.description | Encadrant : Mr MAHAMMED Nadir Co-encadrante : Mme SAIDI Imene | en_US |
dc.description.abstract | In this digital age, social media platforms play a crucial role in informing the public
and shaping perceptions, providing essential information about current events and issues.
However, the widespread of fake news across various social media platforms and websites
poses a significant threat. Fake news, has the potential to cause extensive social and
national harm, undermining public trust and inciting unrest.
Considerable research has been dedicated to developing methods for detecting and
preventing the spread of fake news. This body of work encompasses a range of approaches,
including the application of machine learning and metaheuristic techniques.
In our study, we aim to provide a comprehensive overview of the existing research on
fake news detection. We review and synthesize the literature, highlighting the different
strategies and technologies that have been proposed and implemented to mitigate the
impact of fake news. Our objective is to present a detailed analysis of the advancements in
this field, underscoring the importance of continued research and innovation to effectively
address the challenges posed by fake news. ***
Dans cette `ere du digital, les plateformes des media sociaux jouent un rˆole crucial dans
l’information du public et la formation des perceptions, fournissant des informations essentielles
sur les ´ev´enements et les probl`emes actuels. Cependant, la prolif´eration des
fausses nouvelles sur diverses plateformes de m´edias sociaux et sites web pose une menace
significative. Les fausses nouvelles ont le potentiel de causer des dommages sociaux et
nationaux consid´erables, sapant la confiance du public et incitant aux troubles.
Des recherches consid´erables ont ´et´e consacr´ees au d´eveloppement de m´ethodes pour
d´etecter et pr´evenir la propagation des fausses nouvelles. Ces travaux couvrent une gamme
d’approches, y compris l’application de techniques d’apprentissage automatique et d’autres
m´ethodologies avanc´ees.
Dans notre ´etude, nous visons `a fournir un aper¸cu complet des recherches existantes
sur la d´etection des fausses nouvelles. Nous passons en revue et synth´etisons la litt´erature,
en soulignant les diff´erentes strat´egies et technologies qui ont ´et´e propos´ees et mises
en oeuvre pour att´enuer l’impact des fausses nouvelles. Notre objectif est de pr´esenter
une analyse d´etaill´ee des avanc´ees dans ce domaine, en soulignant l’importance de la
recherche et de l’innovation continues pour relever efficacement les d´efis pos´es par les
fausses nouvelles. | en_US |
dc.language.iso | en | en_US |
dc.subject | Online Social Network | en_US |
dc.subject | Fake News Detection | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | Metaheuristic | en_US |
dc.title | A solution to spot fake news on social media | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Master
|