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Machine Learning Generates Clickbait Headlines That Will Shock You! (thestack.com)
An anonymous reader writes: Norwegian developer and blogger Lars Eidnes has designed a clickbait generator using a neural network, which is able to create sensationalist headlines that play on human readers' curiosity. Eidnes trained his neural network by scanning around two million clickbait titles from online media sites such as Buzzfeed, Jezebel and Upworthy. When asked to form a sentence, the system can now output a single word and continues the prediction process to find related words, in a pattern known as Recurrent Neural Networks (RNNs).
It may have been generated via "AI" techniques, but the results are little if any better than a simple Markov-Chain text generator, of the kind I built back in the 80s with my programmable calculator... and used today to generate spam emails.
The only difference I see is that there are pictures accompanying the "articles". But I don't see anything about an algorithm for that, so I think I am safe to presume that the text is generated by the so-called "AI", but composed by an actual human.
But maybe not... the pictures seem pretty random and unrelated to the texts. So it could be done algorithmically... but then it's still just as UNimpressive.