WhatFarzi: Fake News Detecting App from IIIT-Delhi Students

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WhatsApp

WhatsApp is been log infected with the fake news and misleading information, same goes with the social media and other message sharing platform. One solution that WhatsApp came earlier with was limiting the forwarding to only 5 person at a time. Also they WhatsApp started highlighting the message that is been Forwarded to you and not generated originally in your chat. But now there is another solution, a new app from 3 students.

WhatsFarzi App to Detect Fake News?

Three BTech students of Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi or IIIT-D) Madhur Tandon, Suryatej Reddy Vyalla and Dhruv Kuchhal have developed this app, which will help end users to check the authenticity of news spreading on Facebook and WhatsApp.

The newly developed app named ‘WhatsFarzi’ was made under the supervision of Ponnurangam Kumaraguru, associate professor, department of computer science, which enables people to check the authenticity of the content, message or an image on social media.

Suryatej Reddy, a third-year student, was among the developers. “To verify textual claims, we make use of a knowledge graph where we extract all the relevant entities which correspond to people, organisations, locations, products in the article and then update the graph with real news from credible sources and store it in a database for quick access. The elements are then run through articles from authentic news portals to verify,” Reddy said.

All you need to do is download ‘WhatsFarzi’ from Google playstore. To check the authenticity of a viral text or image getting, one needs to copy and paste it in the designated space in the app. The app will then rate the content on the scale of fake to authentic through a coloured bar.

The team combined the knowledge of graphics, natural language processing, machine learning / AI and Graphics Processing Unit (GPU) to analyse the authenticity of news content and images. The app, however, is not equipped to check the authenticity of video messages. “It will help the end users, as it will equip them to check the authenticity of content circulated on WhatsApp,” said Ponnurangam Kumaraguru, the principal investigator of the project.

Before WhatsFarzi, a similar initiative to analyse the authenticity of news on Twitter and Facebook was tested by the PhD students of the college. “We analysed Hurricane Sandy and Boston blasts in detail; using this understanding, we developed TweetCred, a Chrome browser extension and a REST API. Building upon the success of TweetCred, a PhD student who graduated in 2017 extended TweetCred for Facebook,” said Ponnurangam while talking to Education Times.