Apr 8, 2017 · we used neural networks to detect clickbaits: You won’t believe what happened next! Ankesh anand , tanmoy chakraborty , noseong park Dec 5, 2016 · here, we introduce a neural network architecture based on recurrent neural networks for detecting clickbaits. Our model relies on distributed word representations learned.
Wouldn't it become a paradox? If it actually ends up shocking him, it won't be a clickbait anymore. These headlines, popularly known as clickbaits, exploit a user’s curiosity gap and lure them to click on links that often disappoint them. Existing methods for automatically detecting clickbaits.
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