soc.octade.net is a Fediverse instance that uses the ActivityPub protocol. In other words, users at this host can communicate with people that use software like Mastodon, Pleroma, Friendica, etc. all around the world.

This server runs the snac software and there is no automatic sign-up process.

Admin email
social@octade.net

Search results for tag #instagram

[?]adb » 🌐
@adbenitez@mastodon.de

is currently down, time to pester your friends with recommendations to switch to

downdetector.com/status/instag

    Guy boosted

    [?]heise online English » 🤖 🌐
    @heiseonlineenglish@social.heise.de

    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.

    heise.de/en/news/Consumer-advo

      [?]Laura G, Sassy 70’s » 🌐
      @LauraJG@deacon.social

      Saturday selfie. iPhone 15 Pro Max. Edited in Hipstamatic, Instagram, and the Photos app.

      Silver haired old lady selfie.

      Alt...Silver haired old lady selfie.

        oheso boosted

        [?]PrivacyDigest » 🌐
        @PrivacyDigest@mas.to

        Lobbies For Protection From Child-Harm

        Meta has lobbied the U.S. Congress for legal immunity from child-harm claims tied to social media products such as , as it faces thousands of lawsuits from young users and their families, according to a source familiar with the matter and proposed legislative language reviewed by Reuters. If adopted by lawmakers and passed into law as part of the (#KOSA ) under consideration in the U.S. Senate, such a provision could undermine thousands of lawsuits against Meta and other online platforms over harms to .

        tech.slashdot.org/story/26/06/

          [?]WIRED - The Latest in Technology, Science, Culture and Business [Unofficial] » 🌐
          @wired.com@web.brid.gy

          Meta Tapped a Pentagon Supplier to Prototype Face Recognition for Its Glasses

          Rank One, whose board includes a former CIA deputy director and a former FBI science chief, supplied face recognition to Meta for internal development of its smart glasses app.

          Meta Tapped a Pentagon Supplier to Prototype Face Recognition for Its Glasses

          Alt...Meta Tapped a Pentagon Supplier to Prototype Face Recognition for Its Glasses

          [?]Nick Espinosa » 🌐
          @NickAEsp@mastodon.social

          Meta's Disastrous Month. Privacy, Security and Trust issues abound... they need to be shut down.

          youtu.be/NNmXlHpEN7c

            [?]Nick Espinosa » 🌐
            @NickAEsp@mastodon.social

            Daily podcast: Meta's Disastrous Month. Privacy, Security and Trust issues abound... they need to be shut down.

            soundcloud.com/nickaesp/dmm

              [?]Bastian Ehrenholz » 🌐
              @ehrba@verkehrswende.social

              @AwetTesfaiesus danke

              Bislang beste Zusammenfassung der Problematiken von , , , und Co., und und somit Manipulation der öffentlichen Meinungsbildung.

              Deswegen und und ab ins !

              Das Video von @morpheus bei

              tube.the-morpheus.de/w/a7Bk5Gs

                [?]Lucire » 🌐
                @lucire@fashionsocial.host

                This story has been updated to include Huffer’s statement this morning. lucire.com/insider/20260604/mo

                  1 ★ 0 ↺

                  [?]OCTADE » 🌐
                  @octade@soc.octade.net

                  The Rise of Algorithms and the End of the Internet

                  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.

                  [/copypasta]