TY - CHAP
T1 - Fake News Detection in Internet Using Deep Learning
T2 - A Review
AU - Barrutia-Barreto, Israel
AU - Seminario-Córdova, Renzo
AU - Chero-Arana, Brian
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - The main objective of this research was to explore, from a reflexivity approach, the current state of Deep learning techniques for automatic detection of fake news on the Internet, analyzing the most important Deep learning algorithms and studies on their effectiveness in detecting distrustful information. The research methodology employed was bibliographic, documentary and descriptive. The information was collected from several scientific articles provided by indexed journals and web platforms, using keywords such as “fake news”, “Deep learning” and “neural networks” for the compilation. As a result of this research, it was concluded that Deep learning techniques present a better performance than conventional methods and will be of great importance in the future of war against fake news due to their potential in automatic detection.
AB - The main objective of this research was to explore, from a reflexivity approach, the current state of Deep learning techniques for automatic detection of fake news on the Internet, analyzing the most important Deep learning algorithms and studies on their effectiveness in detecting distrustful information. The research methodology employed was bibliographic, documentary and descriptive. The information was collected from several scientific articles provided by indexed journals and web platforms, using keywords such as “fake news”, “Deep learning” and “neural networks” for the compilation. As a result of this research, it was concluded that Deep learning techniques present a better performance than conventional methods and will be of great importance in the future of war against fake news due to their potential in automatic detection.
KW - Artificial intelligence
KW - Deep learning
KW - Deepfakes
KW - Disinformation
KW - Fake news
KW - Neural networks
KW - Social networks
UR - https://www.scopus.com/pages/publications/85121543743
U2 - 10.1007/978-3-030-90087-8_3
DO - 10.1007/978-3-030-90087-8_3
M3 - Chapter
AN - SCOPUS:85121543743
T3 - Studies in Computational Intelligence
SP - 55
EP - 67
BT - Studies in Computational Intelligence
PB - Springer Science and Business Media Deutschland GmbH
ER -