Deep learning to detect social media fake news using sequence generative adversarial networks

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Publication Details

Journal
International Journal of Electronic Security and Digital Forensics
Published
2024-10-24
DOI
https://doi.org/10.1504/ijesdf.2026.10067349
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning to detect social media fake news using sequence generative adversarial networks

S.Silvia Priscila, S. Albert Antony Raj, Saravanan Venkataraman, S. Belina V.J. Sara
International Journal of Electronic Security and Digital Forensics
Misinformation and Its Impacts
article

Deep learning to detect social media fake news using sequence generative adversarial networks

S.Silvia Priscila, S. Albert Antony Raj, Saravanan Venkataraman, S. Belina V.J. Sara
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Electronic Security and Digital ForensicsVol. 1(1)
Reduced inequalities
Openalex Percentile: Top 70%
Misinformation and Its Impacts
DOIOpen Access PDFOpenAlex
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Deep learning to detect social media fake news using sequence generative adversarial networks — S.Silvia Priscila, S. Albert Antony Raj, et al. · International Journal of Electronic Security and Digital Forensics (2024) | TGRS Research Map | TGRS