T-CREo: A Twitter Credibility Analysis Framework
Descripción del Articulo
This research was supported by the FONDO NACIONAL DE DESARROLLO CIENTIFICO, TECNOLOGICO Y DE INNOVACION TECNOLOGICA ~ FONDECYT as an executing entity of CONSEJO NACIONAL DE CIENCIA, TECNOLOGIA E INNOVACION TECNOLOGICA - CONCYTEC under grant agreement No. 01-2019-FONDECYT-BM-INC.INV in the project RU...
| Autores: | , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2948 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/2948 https://doi.org/10.1109/ACCESS.2021.3060623 |
| Nivel de acceso: | acceso abierto |
| Materia: | web scraping Social networking (online) Blogs Real-time systems Computer architecture Analytical models Adaptation models Service-oriented architecture API credibilty fake news information sources https://purl.org/pe-repo/ocde/ford#2.02.04 |
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| dc.title.none.fl_str_mv |
T-CREo: A Twitter Credibility Analysis Framework |
| title |
T-CREo: A Twitter Credibility Analysis Framework |
| spellingShingle |
T-CREo: A Twitter Credibility Analysis Framework Cardinale, Yudith web scraping Social networking (online) Blogs Real-time systems Computer architecture Analytical models Adaptation models Service-oriented architecture API credibilty fake news information sources information sources https://purl.org/pe-repo/ocde/ford#2.02.04 |
| title_short |
T-CREo: A Twitter Credibility Analysis Framework |
| title_full |
T-CREo: A Twitter Credibility Analysis Framework |
| title_fullStr |
T-CREo: A Twitter Credibility Analysis Framework |
| title_full_unstemmed |
T-CREo: A Twitter Credibility Analysis Framework |
| title_sort |
T-CREo: A Twitter Credibility Analysis Framework |
| author |
Cardinale, Yudith |
| author_facet |
Cardinale, Yudith Dongo, Irvin Robayo, German Cabeza, David Aguilera, Ana Medina, Sergio |
| author_role |
author |
| author2 |
Dongo, Irvin Robayo, German Cabeza, David Aguilera, Ana Medina, Sergio |
| author2_role |
author author author author author |
| dc.contributor.author.fl_str_mv |
Cardinale, Yudith Dongo, Irvin Robayo, German Cabeza, David Aguilera, Ana Medina, Sergio |
| dc.subject.none.fl_str_mv |
web scraping |
| topic |
web scraping Social networking (online) Blogs Real-time systems Computer architecture Analytical models Adaptation models Service-oriented architecture API credibilty fake news information sources information sources https://purl.org/pe-repo/ocde/ford#2.02.04 |
| dc.subject.es_PE.fl_str_mv |
Social networking (online) Blogs Real-time systems Computer architecture Analytical models Adaptation models Service-oriented architecture API credibilty fake news information sources information sources |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.02.04 |
| description |
This research was supported by the FONDO NACIONAL DE DESARROLLO CIENTIFICO, TECNOLOGICO Y DE INNOVACION TECNOLOGICA ~ FONDECYT as an executing entity of CONSEJO NACIONAL DE CIENCIA, TECNOLOGIA E INNOVACION TECNOLOGICA - CONCYTEC under grant agreement No. 01-2019-FONDECYT-BM-INC.INV in the project RUTAS: Robots for Urban Tourism centers, Autonomous and Semantic-based. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2948 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/ACCESS.2021.3060623 |
| url |
https://hdl.handle.net/20.500.12390/2948 https://doi.org/10.1109/ACCESS.2021.3060623 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
IEEE ACCESS |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
| rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.publisher.none.fl_str_mv |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
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Consejo Nacional de Ciencia Tecnología e Innovación |
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CONCYTEC |
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CONCYTEC |
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CONCYTEC-Institucional |
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CONCYTEC-Institucional |
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Repositorio Institucional CONCYTEC |
| repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
| _version_ |
1839175688889827328 |
| spelling |
Publicationrp08325600rp08323600rp08327600rp08324600rp08328600rp08326600Cardinale, YudithDongo, IrvinRobayo, GermanCabeza, DavidAguilera, AnaMedina, Sergio2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/2948https://doi.org/10.1109/ACCESS.2021.3060623This research was supported by the FONDO NACIONAL DE DESARROLLO CIENTIFICO, TECNOLOGICO Y DE INNOVACION TECNOLOGICA ~ FONDECYT as an executing entity of CONSEJO NACIONAL DE CIENCIA, TECNOLOGIA E INNOVACION TECNOLOGICA - CONCYTEC under grant agreement No. 01-2019-FONDECYT-BM-INC.INV in the project RUTAS: Robots for Urban Tourism centers, Autonomous and Semantic-based.Social media and other platforms on Internet are commonly used to communicate and generate information. In many cases, this information is not validated, which makes it difficult to use and analyze. Although there exist studies focused on information validation, most of them are limited to specific scenarios. Thus, a more general and flexible architecture is needed, that can be adapted to user/developer requirements and be independent of the social media platform. We propose a framework to automatically and in real-time perform credibility analysis of posts on social media, based on three levels of credibility: Text, User, and Social. The general architecture of our framework is composed of a front-end, a light client proposed as a web plug-in for any browser; a back-end that implements the logic of the credibility model; and a third-party services module. We develop a first version of the proposed system, called T-CREo (Twitter CREdibility analysis framework) and evaluate its performance and scalability. In summary, the main contributions of this work are: the general framework design; a credibility model adaptable to various social networks, integrated into the framework; and T-CREo as a proof of concept that demonstrates the framework applicability and allows evaluating its performance for unstructured information sources; results show that T-CREo qualifies as a highly scalable real-time service. The future work includes the improvement of T-CREo implementation, to provide a robust architecture for the development of third-party applications, as well as the extension of the credibility model for considering bots detection, semantic analysis and multimedia analysis.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCIEEE ACCESSinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/web scrapingSocial networking (online)-1Blogs-1Real-time systems-1Computer architecture-1Analytical models-1Adaptation models-1Service-oriented architecture-1API-1credibilty-1fake news-1information sources-1information sources-1twitter-1https://purl.org/pe-repo/ocde/ford#2.02.04-1T-CREo: A Twitter Credibility Analysis Frameworkinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2948oai:repositorio.concytec.gob.pe:20.500.12390/29482024-05-30 16:12:23.129https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="a925a0f5-8091-4b9b-aa81-17515e335bbc"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>T-CREo: A Twitter Credibility Analysis Framework</Title> <PublishedIn> <Publication> <Title>IEEE ACCESS</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <DOI>https://doi.org/10.1109/ACCESS.2021.3060623</DOI> <Authors> <Author> <DisplayName>Cardinale, Yudith</DisplayName> <Person id="rp08325" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Dongo, Irvin</DisplayName> <Person id="rp08323" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Robayo, German</DisplayName> <Person id="rp08327" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Cabeza, David</DisplayName> <Person id="rp08324" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Aguilera, Ana</DisplayName> <Person id="rp08328" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Medina, Sergio</DisplayName> <Person id="rp08326" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>web scraping</Keyword> <Keyword>Social networking (online)</Keyword> <Keyword>Blogs</Keyword> <Keyword>Real-time systems</Keyword> <Keyword>Computer architecture</Keyword> <Keyword>Analytical models</Keyword> <Keyword>Adaptation models</Keyword> <Keyword>Service-oriented architecture</Keyword> <Keyword>API</Keyword> <Keyword>credibilty</Keyword> <Keyword>fake news</Keyword> <Keyword>information sources</Keyword> <Keyword>information sources</Keyword> <Keyword>twitter</Keyword> <Abstract>Social media and other platforms on Internet are commonly used to communicate and generate information. In many cases, this information is not validated, which makes it difficult to use and analyze. Although there exist studies focused on information validation, most of them are limited to specific scenarios. Thus, a more general and flexible architecture is needed, that can be adapted to user/developer requirements and be independent of the social media platform. We propose a framework to automatically and in real-time perform credibility analysis of posts on social media, based on three levels of credibility: Text, User, and Social. The general architecture of our framework is composed of a front-end, a light client proposed as a web plug-in for any browser; a back-end that implements the logic of the credibility model; and a third-party services module. We develop a first version of the proposed system, called T-CREo (Twitter CREdibility analysis framework) and evaluate its performance and scalability. In summary, the main contributions of this work are: the general framework design; a credibility model adaptable to various social networks, integrated into the framework; and T-CREo as a proof of concept that demonstrates the framework applicability and allows evaluating its performance for unstructured information sources; results show that T-CREo qualifies as a highly scalable real-time service. The future work includes the improvement of T-CREo implementation, to provide a robust architecture for the development of third-party applications, as well as the extension of the credibility model for considering bots detection, semantic analysis and multimedia analysis.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.461011 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
