Fake Media Detection based on Natural Language Processing and Blockchain Approach

Authors

  • Ms. T. Priyanka, Dr. B. S. N. Murthy, Dr. Chandra Mouli VSA, Gunamani Jena, Shubhashish Jena

DOI:

https://doi.org/10.17762/msea.v71i4.1123

Abstract

Based on new technologies and developments in computer science, social media networks are an important part of people's lives. This environment has become a well-known place to share information, news, and daily reports on any topic. This is the most important time for collecting data and sending it to other places. There are some good things about this environment, but there is also a lot of fake news and information that makes it hard for people to get the right information. One of the biggest problems with this system is that there isn't enough reliable information and real news on social media. To solve this problem, we have proposed a system that combines different parts of blockchain and natural language processing (NLP) to use machine learning techniques to spot fake news and better predict fake user accounts and posts. This is done with the Reinforcement Learning method.

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Published

2022-10-18

How to Cite

Ms. T. Priyanka, Dr. B. S. N. Murthy, Dr. Chandra Mouli VSA, Gunamani Jena, Shubhashish Jena. (2022). Fake Media Detection based on Natural Language Processing and Blockchain Approach. Mathematical Statistician and Engineering Applications, 71(4), 5385–5397. https://doi.org/10.17762/msea.v71i4.1123

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Section

Articles