International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 27 |
Year of Publication: 2020 |
Authors: Akshada Babar, Nalini Jagtap, Akshata Mithari, Aakash Shukla, Prachi Chaudhari |
10.5120/ijca2020920291 |
Akshada Babar, Nalini Jagtap, Akshata Mithari, Aakash Shukla, Prachi Chaudhari . A Survey on Fake News Detection Techniques and using a Blockchain based System to Combat Fake News. International Journal of Computer Applications. 176, 27 ( Jun 2020), 47-53. DOI=10.5120/ijca2020920291
The problem of fake news is getting serious day by day and it has very detrimental impacts in different spheres like that of politics. Due to the availability of social media, it becomes very easy to spread fake news and it becomes difficult to identify the culprit. As the culprit of such actions is not identified, the problem still persists. Hence, there is a need to identify the source or origin of such fake news to take the necessary action. There are several methods to detect fake news but the common people rarely have time to use these detection techniques and they easily fall prey to such pieces of information. In this paper, we review the different methods that are applied to detect fake news and address it’s limitations. We propose the flow of a new blockchain based system that can be used by the news agencies to ensure the validity of the news published. With the help of such a system, the news will be entirely traceable and trackable to every single point in the agency and hence, it becomes easy to find the source and identify the culprit in case of any misinformation.