Intelligent gravitational search random forest algorithm for fake news detection

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Natarajan, Rathika, Mehbodniya, Abolfazl, Rane, Kantilal Pitambar, Jindal, Sonika, Hasan, Mohammed Faez, Vives, Luis, Bhatt, Abhishek
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/658585
Enlace del recurso:http://hdl.handle.net/10757/658585
Nivel de acceso:acceso embargado
Materia:decision tree
fake news
fake news detection
Gravitational search algorithm
meta-heuristic
random forest
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network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.es_PE.fl_str_mv Intelligent gravitational search random forest algorithm for fake news detection
title Intelligent gravitational search random forest algorithm for fake news detection
spellingShingle Intelligent gravitational search random forest algorithm for fake news detection
Natarajan, Rathika
decision tree
fake news
fake news detection
Gravitational search algorithm
meta-heuristic
random forest
title_short Intelligent gravitational search random forest algorithm for fake news detection
title_full Intelligent gravitational search random forest algorithm for fake news detection
title_fullStr Intelligent gravitational search random forest algorithm for fake news detection
title_full_unstemmed Intelligent gravitational search random forest algorithm for fake news detection
title_sort Intelligent gravitational search random forest algorithm for fake news detection
author Natarajan, Rathika
author_facet Natarajan, Rathika
Mehbodniya, Abolfazl
Rane, Kantilal Pitambar
Jindal, Sonika
Hasan, Mohammed Faez
Vives, Luis
Bhatt, Abhishek
author_role author
author2 Mehbodniya, Abolfazl
Rane, Kantilal Pitambar
Jindal, Sonika
Hasan, Mohammed Faez
Vives, Luis
Bhatt, Abhishek
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Natarajan, Rathika
Mehbodniya, Abolfazl
Rane, Kantilal Pitambar
Jindal, Sonika
Hasan, Mohammed Faez
Vives, Luis
Bhatt, Abhishek
dc.subject.es_PE.fl_str_mv decision tree
fake news
fake news detection
Gravitational search algorithm
meta-heuristic
random forest
topic decision tree
fake news
fake news detection
Gravitational search algorithm
meta-heuristic
random forest
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-01-18T14:57:21Z
dc.date.available.none.fl_str_mv 2022-01-18T14:57:21Z
dc.date.issued.fl_str_mv 2022-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 01291831
dc.identifier.doi.none.fl_str_mv 10.1142/S012918312250084X
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/658585
dc.identifier.journal.es_PE.fl_str_mv International Journal of Modern Physics C
dc.identifier.eid.none.fl_str_mv 2-s2.0-85122250574
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85122250574
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 01291831
10.1142/S012918312250084X
International Journal of Modern Physics C
2-s2.0-85122250574
SCOPUS_ID:85122250574
0000 0001 2196 144X
url http://hdl.handle.net/10757/658585
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://www.worldscientific.com/doi/10.1142/S012918312250084X
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv World Scientific
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv International Journal of Modern Physics C
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/658585/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
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spelling e7361929d44c375027578f1a3bd30018300dcffd65bdd4d768d18f036d56141a95b300227c5d0c4fa3410ad703e2c5270344f03009d26f16da67c6e459f310b42d101eedf30082189ebf7e508632200a91da6a3a62d4300b5df785608d336d7fb27eeac799713de5004820edc3528dc49d13a3517f848287bc300Natarajan, RathikaMehbodniya, AbolfazlRane, Kantilal PitambarJindal, SonikaHasan, Mohammed FaezVives, LuisBhatt, Abhishek2022-01-18T14:57:21Z2022-01-18T14:57:21Z2022-01-010129183110.1142/S012918312250084Xhttp://hdl.handle.net/10757/658585International Journal of Modern Physics C2-s2.0-85122250574SCOPUS_ID:851222505740000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Online social media has made the process of disseminating news so quick that people have shifted their way of accessing news from traditional journalism and press to online social media sources. The rapid rotation of news on social media makes it challenging to evaluate its reliability. Fake news not only erodes public trust but also subverts their opinions. An intelligent automated system is required to detect fake news as there is a tenuous difference between fake and real news. This paper proposes an intelligent gravitational search random forest (IGSRF) algorithm to be employed to detect fake news. The IGSRF algorithm amalgamates the Intelligent Gravitational Search Algorithm (IGSA) and the Random Forest (RF) algorithm. The IGSA is an improved intelligent variant of the classical gravitational search algorithm (GSA) that adds information about the best and worst gravitational mass agents in order to retain the exploitation ability of agents at later iterations and thus avoid the trapping of the classical GSA in local optimum. In the proposed IGSRF algorithm, all the intelligent mass agents determine the solution by generating decision trees (DT) with a random subset of attributes following the hypothesis of random forest. The mass agents generate the collection of solutions from solution space using random proportional rules. The comprehensive prediction to decide the class of news (fake or real) is determined by all the agents following the attributes of random forest. The performance of the proposed algorithm is determined for the FakeNewsNet dataset, which has sub-categories of BuzzFeed and PolitiFact news categories. To analyze the effectiveness of the proposed algorithm, the results are also evaluated with decision tree and random forest algorithms. The proposed IGSRF algorithm has attained superlative results compared to the DT, RF and state-of-the-art techniques.Revisión por paresapplication/htmlengWorld Scientifichttps://www.worldscientific.com/doi/10.1142/S012918312250084Xinfo:eu-repo/semantics/embargoedAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)International Journal of Modern Physics Creponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCdecision treefake newsfake news detectionGravitational search algorithmmeta-heuristicrandom forestIntelligent gravitational search random forest algorithm for fake news detectioninfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/658585/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/658585oai:repositorioacademico.upc.edu.pe:10757/6585852022-01-18 14:57:22.702Repositorio académico upcupc@openrepository.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Intelligent gravitational search random forest algorithm for fake news detection
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