We Really Recommend This Podcast Episode

We Really Recommend This Podcast Episode Leave a comment

The fashionable web is powered by suggestion algorithms. They’re in every single place from Facebook to YouTube, from engines like google to procuring web sites. These programs observe your on-line consumption and use that information to recommend the subsequent piece of content material so that you can take in. Their purpose is to maintain customers on a platform by presenting them with issues they will spend extra time participating with. Trouble is, these hyperlink chains can result in some bizarre locations, sometimes taking customers down darkish web rabbit holes or displaying dangerous content material. Lawmakers and researchers have criticized suggestion programs earlier than, however these strategies are beneath renewed scrutiny now that Google and Twitter are going earlier than the US Supreme Court to defend their algorithmic practices.

This week on Gadget Lab, we discuss with Jonathan Stray, a senior scientist on the Berkeley Center for Human-Compatible AI who research suggestion programs on-line. We focus on how suggestion algorithms work, how they’re studied, and the way they are often each abused and restrained.

Show Notes

Read all about Section 230. Read Jonathan Stray and Gillian Hadfield’s story on WIRED about their engagement research. Read extra about the two cases earlier than the US Supreme Court.


Jonathan recommends the guide The Way Out by Peter Coleman. Mike recommends the novel Denial by Jon Raymond. Lauren recommends Matt Reynolds’ WIRED story about the way you’ve been thinking about food all wrong, and in addition getting a bag to make nut milk.

Jonathan Stray could be discovered on Twitter @jonathanstray. Lauren Goode is @LaurenGoode. Michael Calore is @snackfight. Bling the primary hotline at @GadgetLab. The present is produced by Boone Ashworth (@booneashworth). Our theme music is by Solar Keys.

If you have got suggestions in regards to the present, take our temporary listener survey. Doing so will earn you an opportunity to win a $1,000 prize.

How to Listen

You can all the time take heed to this week’s podcast via the audio participant on this web page, however if you wish to subscribe totally free to get each episode, here is how:

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