Machine Learning solution to counter fake news on Whatsapp by a Delhi professor

Total
0
Shares

Mr. Ponnurangam Kumaraguru, who is a professor at the Indraprastha Institute of Information Technology (IIIT), Delhi, has a solution to identify fake news on Whatsapp. The machine learning-based solution is capable of identifying fake videos, texts, images, and even audio recording. Professor who proclaims that he has built such applications for other two Social Media majors like Fecbook and Twitter, aims to launch the application in the next couple of months.
Professor and his team is currently soliciting the examples of fake news from users, which would be fed to the ML to build a reliable ML model.
The Perspective:
While Professor is soliciting the examples from general public of fake news, the model which would be thus built is a slave to the data fed to it, which by all probability is going to be not conducive. It is difficult to build such models for even Whatsapp, when it is not being able to read messages sent by users due to end-to-end encryption.
Also, what form the new fake news item is still a mystery because the same ML which is being put to use by Professor to counter fake news is being used to generate new fake news in most partof the world.
What do you think is an ideal solutiont to this Frankensteinian problem?
Please share your solutions for everyone via comments. Thanks!

Leave a Reply

Sign Up for Our Newsletters

Get notified of latest industry interviews and insights!

You May Also Like

RBI: Taxing E-Commerce Can Boost State Revenue (Report)

RBI’s recent report on State Finances suggests that the rapidly growing ecommerce sector can boost the state revenue and is “an opportunity and a challenge for states.” The ecommerce and online business in India is booming in the recent years and is expected to grow exponentially (Goldman Sachs reports a growth rate of 15X to reaching $300 billion by 2030) but the ambiguity on the taxes the ecommerce have to pay remains.
View Post