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Apr 8, 2017 · we used neural networks to detect clickbaits: You won’t believe what happened next! Ankesh anand , tanmoy chakraborty , noseong park
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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. Share your videos with friends, family, and the world Wouldn't it become a paradox?
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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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