Cargando…
How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models
Online propaganda is a mechanism to influence the opinions of social media users. It is a growing menace to public health, democratic institutions, and public society. The present study proposes a propaganda detection framework as a binary classification model based on a news repository. Several fea...
Autores principales: | Malik, Muhammad Shahid Iqbal, Imran, Tahir, Mona Mamdouh, Jamjoom |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280574/ https://www.ncbi.nlm.nih.gov/pubmed/37346552 http://dx.doi.org/10.7717/peerj-cs.1248 |
Ejemplares similares
-
A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques
por: Ullah, Zahid, et al.
Publicado: (2023) -
Leveraging deep contrastive learning for semantic interaction
por: Belcaid, Mahdi, et al.
Publicado: (2022) -
Assessing English language sentences readability using machine learning models
por: Maqsood, Shazia, et al.
Publicado: (2022) -
Comparative analysis of machine learning methods to detect fake news in an Urdu language corpus
por: Rafique, Adnan, et al.
Publicado: (2022) -
Analysis and tuning of hierarchical topic models based on Renyi entropy approach
por: Koltcov, Sergei, et al.
Publicado: (2021)