Skip to main content

Facebook reportedly knew its algorithms promoted extremist groups, but did nothing


Facebook has long struggled with controlling extremist content on its platform. From the 2016 US elections, when Russians were able to manipulate American voters through polarizing ads, to propaganda that spread through the social network and led to violence in Myanmar. A new report by Jeff Horwitz and Deepa Seetharaman in the Wall Street Journal suggests that Facebook knew that its algorithm was dividing people, but did very little to address the problem. It noted that one of the company’s internal presentations from 2018 illustrated how Facebook’s algorithm aggravated polarizing behavior in some cases. A slide from that presentation said if these algorithms are…

This story continues at The Next Web

Or just read more coverage about: Facebook

from The Next Web https://ift.tt/3gAYroS
Labels:

Comments

Post a Comment

Popular posts from this blog

TNW Podcast: Boris comes over to co-host; Slack’s Cal Henderson talks European tech

 Welcome to the new episode of the TNW Podcast — the show where we discuss the latest developments in the European technology ecosystem and feature interviews with some of the most interesting people in the industry. In today’s episode, Andrii is joined by Boris Veldhuijzen van Zanten, co-founder, member of the board, and former CEO of TNW. The topics discussed include the jobs created by Dutch startups, giant state funding for energy projects, translations of the word ‘computer’, and a bunch of other things in between. In the interview section, we’re featuring a conversation with Cal Henderson, co-founder and… This story continues at The Next Web from The Next Web https://ift.tt/jUgcNFD
Post a Comment
Read more

NotJordanPeterson lets you generate uncannily realistic Jordan Peterson sound bites

Love him or hate him, Canadian psychologist Jordan Peterson has undeniably captivated the interest of supporters and critics alike, earning a reputation as a “rock star” academic – similarly to his colleague and debate rival Slavoj Zizek. Now he’s being replicated, by AI. While you can easily find hours of footage with Peterson, none of what you hear in this piece comes from his mouth. Instead, it’s been produced by a neural network – called NotJordanPeterson – which has been trained to mimic the voice of the psychologist. And the resemblance is… absolutely uncanny. Check out these examples we generated… This story continues at The Next Web from The Next Web https://ift.tt/306hAGA
Post a Comment
Read more

A massive cache of stolen OnlyFans videos have been dumped online

Someone has leaked terabytes of content stolen from OnlyFans, a subscription site popular among influencers, sex workers, and pornographic actors. Photos and videos of specific users and performers is now out from behind the site’s paywall, meaning content creators are no longer able to profit from their work. And it doesn’t seem like there’s anything they can do. If you’re unfamiliar with OnlyFans (be honest with me now), it’s a site where viewers can pay a fee to view photos and videos put up by content creators. Ostensibly it would allow the latter to profit from their work, but it’s… This story continues at The Next Web from The Next Web https://ift.tt/2PvNCIG
Post a Comment
Read more