An NLP-based cryptosystem to control spread of fake news through social-media

Abstract

The era of digitalization has seen a transition from traditional methods of providing services to digital means. The advancement of technological innovations has not only impacted the human lifestyle but also has aided the growth of various social channels for people to communicate with one another. But the rise of social media platforms has also led to the spread of fake news. Fake news spread fast and can affect the brand image of various product/service-based organizations. To reduce the effect of fake news, we have proposed a method to temporarily encrypt the message sent from a consumer using the company’s tag for a fixed time, say, 1 day, in Twitter, hence giving the company the time to respond to the concerns raised by the customer. Once the response is received, or the stipulated time ends, the message will be made visible to the public automatically.