Consumer advocates demand Safety by Design for all instead of social media bans

The vzbv investigated Facebook, Instagram, Snapchat, TikTok, and YouTube: Addiction-promoting mechanisms and dark patterns endanger minors despite the DSA.

https://www.heise.de/en/news/Consumer-advocates-demand-Safety-by-Design-for-all-instead-of-social-media-bans-11341975.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#DigitalServicesAct #Facebook #Instagram #Netzpolitik #Snapchat #SocialMedia #TikTok #Verbraucherschutz #YouTube #news

My hot take for the year:

Trent Reznor sings “Hurt” better than Johnny Cash did.

I don’t hate Cash’s version, but Reznor applies his own kind of pain to the song, and the original NIN version has the correct amount of noise for the theme, IMO.

If you like the more subdued sound of Cash’s version, maybe try NIN’s “quiet” version of the song.

#HotTakes #YouTube #Music #Industrial #Rock

Anyone know of an #accessible #video downloader which works on mac, uses yt-dlp, and can convert videos to audio-formats like MP3?
I've been using yt-dlp in the terminal for a bit, but I'm tired of having to type in long strings of commands.
#accessibility #blind #youtube #video #macos #audio

No more sharing YouTube links for me. They link to your personal account automatically. The dickfaced bastards clearly failed to contemplate the privacy and SAFETY nightmare this will cause. #google #youtube #safety #OnlineSafety #privacy

I’ve uploaded the Contra III Livestream replay to YouTube as well: https://youtu.be/w4CsnjKDsVI

#SNES #RetroGaming #YouTube

His videos remind me a lot of a show I watched on the Discovery channel named Survivorman where the dude went out into the wild and filmed himself surviving.

I don't recommend YouTube channels in general, but Adam makes good content.

#YouTube #tv #travel #camping #amtrak #trains #publictransportation #nationalparks

https://www.youtube.com/watch?v=CA_hmtuAPTY

[copypasta]

Did the Algorithm Change Your Decisions? | How Your Feed Was Engineered

Right now, somewhere on the internet, a video is being uploaded.

Within seconds, a system that no one elected, no one audits, and no one fully understands decides whether anyone else will ever see it.

Sometimes, it decides no one should.

And that’s the end of it.

In this episode of Plain Meaning, we examine how the modern internet quietly transformed from a system designed to deliver information… into one that decides what information exists for you at all.

It didn’t happen all at once.

It happened step by step.

Feed by feed.

Platform by platform.

Until nearly everything you see online is filtered through a machine making decisions on your behalf.

We trace how:

• Social media moved from profile pages to infinite feeds
• Facebook’s News Feed shifted from chronological to algorithmic control
• Advertising—not user experience—drove the need to control timing and visibility
• “EdgeRank” introduced the first large-scale automated editorial system
• By 2016, every major platform—Facebook, Instagram, Twitter, YouTube—had adopted algorithmic feeds
• Recommendation systems replaced direct navigation across the entire internet

But this isn’t just a story about technology.

It’s a story about incentives.

Because once platforms controlled what you saw, they didn’t just control engagement.

They controlled attention.

And once attention became the product, the system began optimizing for something far more powerful than clicks.

We examine what happened next:

• How foreign influence operations exploited algorithmic feeds during the 2016 election
• The role of Cambridge Analytica and its parent Strategic Communication Laboratories in psychological targeting
• The scale and strategy of Russia’s Internet Research Agency
• How fake local news accounts built trust before deploying disinformation
• Why most influence content wasn’t political—but divisive
• How algorithms amplified all of it without distinction

And then we go further.

Because 2016 wasn’t the end of the story.

It was the beginning.

We look at how:

• Algorithmic systems shape not just what you see—but how you think
• Platforms reward emotional, extreme, and addictive content
• Foreign-owned platforms introduce new geopolitical risks
• Systems like ByteDance’s TikTok operate differently across countries
• The same algorithmic architecture can produce completely different realities depending on its objectives

This episode is not about one platform.

It’s not about one political party.

And it’s not about one country.

It’s about the system itself.

Because the algorithm isn’t just recommending content.

It’s acting as an editor.

And most of the time, you don’t even realize it’s there.

By the end of this video, the next time you open a social media app, you’ll understand:

Why your attention isn’t fully yours.

Why the world you see isn’t necessarily the world that exists.

And how to recognize when a machine—not you—is deciding what matters.

#Algorithm #SocialMedia #DigitalMedia #YouTube #Facebook #Instagram #NewsFeed #TikTok #Twitter

[/copypasta]

https://dev.to/dattran2346/building-a-youtube-to-podcast-pipeline-with-yt-dlp-ffmpeg-and-backblaze-b2-8nm

#Podcast #Podcasts #Audio #Youtube

https://casti.fyi/youtube-to-podcast.html

#Music #Audio #Video #Podcasts #Youtube

https://youtu.be/t4IY7LgLUE0

#NowPlaying #NowListening #Music #Video #SalvatoreGanacci #FatalFury #WorkHardNotSmart #DJ #Techno #Rave #GamingMusic #GamerTunes #Radio #YouTube #YouTubeMusic #EuroBeats