Artificial Intelligent Based Identification and Authentication of Fake News in Social Media Platform | Chapter 8 | Research Highlights in Science and Technology Vol. 5

 In current decades, the spread of fake news, that refers to intentionally deceptive content proposed at misleading all, has seen a significant rise. This increase of false news poses a threat to cultural wholeness and governmental cohesion as it fosters political separations and creates an air of uncertainty. With the overwhelming amount of news being disseminated through connected to the internet platforms, the task of human verification has enhance impractical, making necessary the development and exercise of automated techniques to discover and confirm fake revelation accurately. One of the sophisticated strategies employed by purveyors of fake revelation is to manipulate bookworms' emotions so that increase the popularity of their articles. This case utilized the probabilistic sleeping semantic examination order to identify instances of fake information. The research provides a comprehensive reasoning of related studies to investigate the underlying standard and concepts that have contributed to this field. Furthermore, a all-encompassing exploration of miscellaneous artificial intelligence (AI) and deep learning approaches was attended to assess their influence in detecting fake news. To facilitate this study, three distinct datasets were working. Overall, this research aims to combat the detrimental effects of fake information by leveraging automated methods to identify and address its ghost in online facts sources.

Author(s) Details:

Galiveeti Poornima,
School of CSE & IS, Presidency University, Bangalore, Karnataka, India.

D. Palanikkumar,
Department of CSE, Dr. NGP Institute of Technology, Coimbatore, Tamil Nadu, India.

M. Neha,
Department of Information Technology, Anna University, Madras Institute of Technology, Chennai,Tamil Nadu, India.

I. Nandhini,
Department of Information Technology, V.S.B Engineering College, Karur, Tamil Nadu, India.

Supriya Devi,
Department of Mathematics, Alliance University, Bangalore, Karnataka, India.

Please see the link here: https://stm.bookpi.org/RHST-V5/article/view/11147