Fake News Detection System

Fake News Detection System

Design and develop a technological solution/software tool for Tracking and tracing Fake News and its origin using official sources as the input filter.

Fake News Detection System

Fake News Detection System

Design and develop a technological solution/software tool for Tracking and tracing Fake News and its origin using official sources as the input filter.

The problem Fake News Detection System solves

Mitigation the impact of fake news spread: In this, the software will be auto-populating the fake news spreaders’ inboxes with the official/authenticated news content.
Language Detection: Identifying the language of incoming news articles.
Multi-lingual support: The software will not only identify fake news spread in english language but also will identify the fake news being spread in other languages as well. This will aid in global fake news detection.
Search Engine: The software will be equipped with a built-in search engine which when a news is detected to be fake will take up the content of the news and will show the correct news or related content.(future scope)

Challenges we ran into

We were not able to implement the search engine and could not find dataset in other languages to test our multi lingual model.

Tracks Applied (1)

Replit

Replit works highly with the power of AI and since our problem statement was part of AI-ML track, we think that it is re...Read More

Replit

Technologies used

Discussion