The way Twitter algorithm works, based on data. I'm a data analyst, and a strategist. My work is to look at data, and determine what the data says, and develop strategies based upon that data. So, I have a bit of qualification when it comes to this. Here's what I've learned:

Twitter will only show you content that you consistently like. Like being content that you hit the heart on. It will show you content from the people you like regularly, and people who they deem similar, based upon likes and follows/followers.

So just because you follow someone, doesn't mean you will see their posts, only if you visit their profile and like their tweets, will they show up on your timeline. Similarly, if you look at the replies to a viral tweet, the replies that are shown to you first,

are there replies Twitter determines that you agree with the most. Essentially, it seems, Twitter is trying to trap everyone into bubbles of content they agree with. Therefore, if there are content creators you like to see, it is imperative that you click the heart, otherwise

Twitter will remove that content from your timeline, particularly if that content is "out of the box", or, non-mainstream.

If you've sent DMs with a particular account, this account will always show up first in your refresh.

Why is this important? Well, if Twitter is detailing your experience on the platform according to your biases, it's important that those biases are reflected in the content you actually consume. Furthermore, if you like a certain type of content regularly, that content

will appear on the timeline of your followers, allowing that content to spread organically beyond the reach of it's own fractal orbit, eventually circumnavigating the inbuilt biases of the system Twitter built to suppress speech.

So, in layman's terms: if you like something, can actually hit the button! Not only will this allow you to see more of what you like, you'll be helping to build a community of similar interests, one which can build despite the odds stacked against it.