标签：#Social

The DoJ said the app has made significant strides in privacy protections since the 2024 suit.

Two years after the U.S. Department of Justice alleged that TikTok violated the Children’s Online Privacy Protection Act, it has reached a $400 million settlement.

LinkedIn says its AI slop button is working.

A few years ago, I discovered the Nostr protocol 1 thanks to Jack (Jack Dorsey) 2 . I've been using it actively ever since. I already had an interest in distributed social networks for years. I tried ActivityPub 3 for a while, but something just didn't click. Around that time, Jack started ATProto 4 within Twitter, but something felt off there too. I hadn't even bothered trying the methods that came before those anyway. It always bothered me—and many others, of course—that the internet became so centralized when the web is distributed by nature. The main reason for this was social media platforms. The trend that started with guestbooks evolved into forums, then to Friendfeed-like walls, MySpace-like platforms, and eventually Facebook and Twitter. The internet, which had a much more distributed structure with blogs prior to Facebook and Twitter, suddenly started to centralize. Due to the maintenance costs of distributed structures and unsettled systems, humanity took the easy way out and chose centralization, as always. Facebook and Twitter grew steadily, and many other platforms alongside them transformed into centralized hubs using the exact same playbook. One of the things people realized too late was that centralized power always possesses the ability to manipulate, a fact that eventually came to light through the Facebook and Twitter lawsuits and similar cases over time. Moreover, there was no such thing as account ownership in any of these centralized systems; we were essentially no different from non-paying tenants (or tenants paying with our data). As time passed, we saw what happened when the landlords started evicting people. Nowadays, even just posting anti-government content can get you kicked out of these centralized platforms in an instant, and you have absolutely no ownership rights over your data or anything else. We've actually been living in a crappy system for a long time, and this system is still going on. From the era I caught onto, ActivityPub w

Patreon has announced a number of new and overhauled features that are designed to "build a better network - and a better internet," according to CEO Jack Conte. The Patreon roadmap includes discovery algorithm updates, platform and security improvements, and new features for both creators and fans. In a lengthy blog post, Conte outlines each […]

A teen who died by suicide was reportedly part of the test.

The safeguard was designed to prevent users from being overwhelmed by harmful content, but TikTok wanted to determine whether it made the app less engaging.

Meta is bringing Pocket, its experimental AI-powered app for creating and sharing interactive games, to users across the U.S. after quietly testing it in Brazil.

Patreon is overhauling how creators get discovered, adding short-form Clips, topic-based communities, and a revamped recommendation system designed to give smaller creators more visibility.

The early website Hot or Not taught its users to rank people at scale. Twenty-six years later, dating apps are trying to escape the culture the site helped create.

If rolled out, the feature would use the social media service’s TikTok Pay offering, which is already available in Southeast Asia for TikTok Shop purchases.

Study finds X algorithm prioritizes ragebait that disproportionately impacts Democrats

This is the latest large-scale DDoS attack to hit the social networking site this year.

Divine now has more than 2 million videos from Vine's original archive.

The company wants users to be able to watch and listen to conversations.

Reddit is beginning to test video and audio versions of popular posts, allowing users to watch or listen to Reddit stories instead of just reading them.

Dozens of states accuse the company of violating the Children's Online Privacy Protection Act.

Most social-media automation tutorials stop at “call the API on a cron job.” That works, but it leaves the hard questions unanswered. Which account is the automation using? How does it avoid posting the same story twice? What happens when an API request times out after X has already accepted the post? And where should an AI agent’s editorial freedom end? I recently built a scheduled X publishing workflow with Codex and xurl , the official command-line client for the X API. The result is not just a timer attached to an AI prompt. It is a small publishing system with four distinct layers: An X developer application with read-and-write user authentication. xurl , which stores the credentials and communicates with the X API. A fixed-account Codex skill that verifies the identity before every write. A Codex scheduled task that researches, checks history, drafts, and publishes. That separation is the important part. Codex can make editorial decisions, but it cannot casually choose an account or improvise the publishing command. The skill owns the deterministic write boundary, while the scheduled task owns timing and editorial policy. In this article, I’ll show you how to build the same architecture. X developer settings, API packages, Codex features, and command-line options can change. The workflow below was verified in August 2026, but you should check the current upstream documentation before using it in production. What You Will Need Before starting, you will need: Codex on a Mac with access to Scheduled tasks. An X developer account and an application with read-and-write permissions. Homebrew. A dedicated or clearly identified X account for the automation. A local project containing the source material or editorial context the agent should use. You should also decide what the automation is allowed to publish before you give it access to an account. A good editorial policy is specific enough to reject a story, not merely broad enough to describe a topic. For example,

I have a problem with my social media feed: there are some people whose content I find really valuable, but on the other hand, there is too much trivial content, so I waste too much time watching low-value videos... BAD DEAL!!! So, let’s solve this issue using AI automation. We can solve this issue by using Telegram as our own social media platform and using automation to make our own feed, far from the algorithms of social media platforms. Choose the people whose content you find really valuable. Use AI automation to monitor them whenever they publish a new video. Once a new video is published, AI sends it to a Telegram bot where you can download it. The person who gave me this idea is Abo Ziad (the Egyptian version of Ali Abdaal), and he is one of my favorite YouTubers. Personally, I think you can add some entertaining channels to make it more balanced. I’ll try this solution for one month, and if you’re interested, I’ll share my experience with you, whether it succeeds or fails. In the end, it’s up to you. Tell us in the comments if you found the general idea useful or not, and whether AI automation is the best solution for this issue.

On the latest episode of Equity podcast, we discuss why not everyone is buying Zuckerberg’s vision.