Social media platforms: what’s next (part 4)

Core Tenets:

1. You get one account – that’s it.
2. There is no “one” algorithm
3. There are no community moderators, only sherpas
4. It’s all attribute tags (this post!)
5. AI acts as a helper, NEVER as a creator
6. A centralized platform

Tenant #4: It’s all attribute tags

In order to give sherpas as much power in creating filters as they can, we need to allow sherpas the most flexibility to sort/filter/do ranking based on the content on the platform.

To that end, the main goal of a new social media platform will be to do in-depth analysis on the content posted (most likely using AI), along with an in-depth analysis on the user who posted it, to gather as many descriptive/attribute tags about the content and user as possible. Examples could include:

• Post attributes:
  • The post title / body
  • Whether the post is image(s) / video(s) / text
  • A short summary of the posted content (10 second description)
  • How long the post is to read / view
    • Also: potentially the “education” level of the post body (see: Flesch–Kincaid score)
  • Topic tagging
    • NSFW
      • What type of NSFW? (See: Hive.ai Visual Moderation attributes)
        • Sexually suggestive vs top nudity vs full nudity, etc
    • Political
      • What type of political content?
    • Meme
      • AdviceAnimal vs Political Compass Meme
    • AI generated (See: Hive.ai AI content generation)
  • Location of Post
    • E.g. someone posting a picture of the ocean while they are traveling in the Bahamas
  • Hashtags on posts
    • User added hashtags to the post themselves
  • Scraping content from links that are submitted
    • (Everything above, but now for the website or article itself)
      • Page Title
      • Page Body
      • Website
      • etc
• User attributes
  • Age of user
  • Location of user
  • Known attributes of user (always posts with X hashtags, or with Y content)