This is a follow-up from my previous thread.
The thread discussed the question of why people tend to choose proprietary microblogging platfroms (i.e. Bluesky or Threads) over the free and open source microblogging platform, Mastodon.
The reasons, summarised by @[email protected] are:
- marketing
- not having to pick the instance when registering
- people who have experienced Mastodon’s hermetic culture discouraging others from joining
- algorithms helping discover people and content to follow
- marketing
and I’m saying that as a firm Mastodon user and believer.
Now that we know why people move to proprietary microblogging platforms, we can also produce methods to counter this.
How do we get “normies” to adopt the Fediverse?
That’s the thing about automation and training models.
First, they implement some sort of auto-reporting bot that requires a human to review them. In the beginning, it only about 50% accurate, but as they give it more and more examples of good and bad results through the human reviews, it moves to 80%, then 90%, then 99%, then 99.99% accuracy.
After a while, the humans on the other end are so numb to the 9999 entries they have to mark as approved that they can barely tell what’s a rejection themselves, and the moderation team is asking itself just what this human review is actually doing. If it’s 99.99% accurate, why not let the bot decide?
Then, the model moves on from auto-reporting to auto-moderation.