Slashdot Mirror
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).
Annoy is more likely.
Minimum threshold fixed. Thanks!
How do I downvote this headline?
Ya, I clicked on it.
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.
Too old school for most of the remaining readers. Slashdot, a site that initially attracted a high number of reasonably highly technically skilled readers, remains at the brink of irrelevance. That's a headline. Pandering to the lowest common denominator was cute back in the day when we all knew it was an inside joke. The typos and overt clickbate along with the inside jokes were fun. But after a while when a friend doesn't grow with the rest of his peers...eventually the ole hijinx get old. Nobody should want to be a 40 year old stoner journalist failure or to emulate one.
Quack, quack.