this post was submitted on 30 Nov 2023
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The second half sounds a lot like an ad for Lemmy ^^
Algorithm-free solves a lot of problems.
I'm not sure you understand what an algorithm is. They're simply a sequence of steps you apply to get some end result, comparable to eg. a recipe in baking.
Lemmy still has multiple ways for you to choose how posts are sorted; "hot", "active", "new" etc. Each of those is an algorithmic sorting, and there's literally no other option except to have an algorithm that is used to determine which posts you see
edit: I think many people who think Lemmy is "algorithm-free" may mean that it has a transparent algorithm for post selection. It's still an algorithm, but we can all go look at source code and documentation to be able to know exactly how it works – with eg. Facebook the exact workings of the post sorting algorithm is secret
I mean, I have a BS and MS in computer science, so you can use that as guidance as to whether or not I know what an algorithm is. :)
In this context, though, it should be clear that "The Algorithm" refers to a specific social networking algorithm that chooses the content you see in order to maximize advertising revenue.
So yes, Lemmy has algorithms that show different content based on your input, but that's a wildly different animal. Notably, I'm the one deciding, and also they're not trying to maximize ad revenue.
Not really. Recommendation algorithms are great for discovering related information and new stuff. They even beat search at its own game, as search is often limited to plain text, while the algorithms take the broader context into account. The problem is that you have no control over the recommendations, no transparency how they work, no way to switch or disable them and no way to explore the deeper knowledge hidden in them. It's all just a magical black box for more engagement and more ads.
A recommendation algorithms that somehow manages to be open and transparent would be a very big step towards fixing the Web. Lemmy and Co. are too busy replicating failed technology from 30 years ago instead of actually fixing the underlying problems.
I agree that open, controllable recommendation algorithms would be great. But right now using none of the currently widespread social media recommendation algorithms at all (and just matching keywords instead) makes for a less-abusive, more positive experience. IMHO.