Cargando…
Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users’ Comments
Nowadays, social media has become the main source of news around the world. The spread of fake news on social networks has become a serious global issue, damaging many aspects, such as political, economic, and social aspects, and negatively affecting the lives of citizens. Fake news often carries ne...
Autores principales: | Hamed, Suhaib Kh., Ab Aziz, Mohd Juzaiddin, Yaakub, Mohd Ridzwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960438/ https://www.ncbi.nlm.nih.gov/pubmed/36850346 http://dx.doi.org/10.3390/s23041748 |
Ejemplares similares
-
A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion
por: Hamed, Suhaib Kh, et al.
Publicado: (2023) -
Covid-19 fake news sentiment analysis()
por: Iwendi, Celestine, et al.
Publicado: (2022) -
Fake news detection in social media based on sentiment analysis using classifier techniques
por: Balshetwar, Sarita V, et al.
Publicado: (2023) -
Sentiment Analysis for Fake News Detection by Means of Neural Networks
por: Kula, Sebastian, et al.
Publicado: (2020) -
Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
por: Apuke, Oberiri Destiny, et al.
Publicado: (2021)