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Source-Based-News-Classification

Social media is a vast pool of content, and among all the content available for users to access, news is an element that is accessed most frequently. These news can be posted by politicians, news channels, newspaper websites, or even common civilians. These posts have to be checked for their authenticity, since spreading misinformation has been a real concern in today’s times, and many firms are taking steps to make the common people aware of the consequences of spread misinformation. The measure of authenticity of the news posted online cannot be definitively measured, since the manual classification of news is tedious and time-consuming, and is also subject to bias.

In an era where fake WhatsApp forwards and Tweets are capable of influencing naive minds, tools and knowledge have to be put to practical use in not only mitigating the spread of misinformation but also to inform people about the type of news they consume. Development of practical applications for users to gain insight from the articles they consume, fact-checking websites, built-in plugins and article parsers can further be refined, made easier to access, and more importantly, should create more awareness.

Published paper: http://www.ijirset.com/upload/2020/june/115_4_Source.PDF