Ponencia
A Summary of on the feasibility of predicting fake news appearance– the Spanish case [Póster]
Autor/es | Ibañez Lissen, Luis
González Manzano, Lorena Fuentes, José M. Goyanes, Manuel |
Coordinador/Director | Varela Vaca, Ángel Jesús
Ceballos Guerrero, Rafael Reina Quintero, Antonia María |
Fecha de publicación | 2024 |
Fecha de depósito | 2024-07-03 |
Publicado en |
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ISBN/ISSN | 978-84-09-62140-8 |
Resumen | The growing amount of news shared on the Internet makes it hard to verify them in real time. An estimation of future fake news would help to focus the detection and verification efforts. Unfortunately, no previous work has ... The growing amount of news shared on the Internet makes it hard to verify them in real time. An estimation of future fake news would help to focus the detection and verification efforts. Unfortunately, no previous work has addressed this issue yet. Therefore, this work measures the feasibility of predicting the volume of future fake news in a particular context– Spanish contents related to Spain. The approach involves different Artificial Intelligence mechanisms on a dataset of 298k real news and 8.9k fake news in the period 2019-2022. Results show that very accurate predictions can be reached. |
Cita | Ibañez Lissen, L., González Manzano, L., Fuentes, J.M. y Goyanes, M. (2024). A Summary of on the feasibility of predicting fake news appearance– the Spanish case (Póster). En Jornadas Nacionales de Investigación en Ciberseguridad (JNIC) (9ª.2024. Sevilla) (446-447), Sevilla: Universidad de Sevilla. Escuela Técnica Superior de Ingeniería Informática. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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JNIC24_464.pdf | 409.2Kb | [PDF] | Ver/ | |