Solutions

Posted sanjeevbiswas05, dhiru29, sunny, gourang, sanjeevbiswas05 Mentors: senthil, drsubhabahapal, preslav, laura, vsenderovLeave a commentPosted in Datathons SolutionsDatathons Solutions

Datathon – HackNews – Solution – Path Finders

In recent years, deceptive content such as fake news and fake reviews, also known as opinion spams, have increasingly become a dangerous prospect for online users. Fake reviews have affected consumers and stores alike. Furthermore, the problem of fake news has gained attention in 2016, especially in the aftermath of the last U.S. presidential elections. Fake reviews and fake news are a closely related phenomenon as both consist of writing and spreading false information or beliefs. The opinion spam problem was formulated for the first time a few years ago, but it has quickly become a growing research area due to the abundance of user-generated content. It is now easy for anyone to either write fake reviews or write fake news on the web. The biggest challenge is the lack of an efficient way to tell the difference between a real review and a fake one; even humans are often unable to tell the difference. We are implementing  7 machine learning classification techniques here.

Posted subbu, shekharharshvardhan, ajaykalbavi123, jk8460, shivam Mentors: drsubhabahapal, senthil, preslav, laura, vsenderovLeave a commentPosted in Datathons SolutionsDatathons Solutions

Datathon – HackNews – Solution – Dream_Invaders

Due to the extreme divergence of social discussions happening in the political space, rumours and fake news becoming inferno which is difficult for anyone who reads to differentiate it from the truth.
What we are going to achieve?
To detect the propagandas at article level, sentence level and recognizing its type.
Using supervised machine learning technique, model shall be created to identify and flag the false news propaganda.

Posted ahmed, shehel, blackhoodie Mentors: preslav, laura, vsenderov, giovanni, alberto5 CommentsPosted in Datathons SolutionsDatathons Solutions

Datathon – HackNews – Solution – DataExploiters

This article describes our submission for the Hack the News Datathon 2019 which focuses on Task 2, Propaganda sentence classification. It outlines our exploratory data analysis, methodology and future work. Our work revolves around the BERT model as we believe it offers an excellent language model that’s also good at attending to context which is an important aspect of propaganda detection.