We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!

TL;DR

This paper presents a comprehensive fake news and click-bait detection system utilizing neural networks, attention mechanisms, and various lexical and semantic features, demonstrating superior performance through extensive testing.

Contribution

The paper introduces a novel, multi-faceted fake news detection approach combining neural networks, attention, and diverse linguistic features, with extensive empirical validation.

Findings

Achieved state-of-the-art detection accuracy

Demonstrated effectiveness of attention mechanisms

Provided detailed analysis of fake news characteristics

Abstract

It is completely amazing! Fake news and click-baits have totally invaded the cyber space. Let us face it: everybody hates them for three simple reasons. Reason #2 will absolutely amaze you. What these can achieve at the time of election will completely blow your mind! Now, we all agree, this cannot go on, you know, somebody has to stop it. So, we did this research on fake news/click-bait detection and trust us, it is totally great research, it really is! Make no mistake. This is the best research ever! Seriously, come have a look, we have it all: neural networks, attention mechanism, sentiment lexicons, author profiling, you name it. Lexical features, semantic features, we absolutely have it all. And we have totally tested it, trust us! We have results, and numbers, really big numbers. The best numbers ever! Oh, and analysis, absolutely top notch analysis. Interested? Come read the shocking truth about fake news and click-bait in the Bulgarian cyber space. You won't believe what we have found!