I think we - and to some degree the Twitter platform itself - are using hash tags redundantly, and this algorithm is just a manifestation of this redundancy that is killing data quality. These pathological tweets do tend to look like the example sentence provided, maybe even more extreme:

  #Swayy #Launches Into Public #Beta To Curate #Content For Your #SocialMedia Audience

Now, all of these words would be reachable with a normal search, so why do we over-tag everything? Are users really going to see what other Tweets have been recently tagged #Content? It makes even less sense with product names like #Swayy.

A more reasonable approach would be to tag things that are not part of the sentence itself:

  We're launching into public beta to curate content for social media! #Swayy

Or inline, on occasion, to express that you're taking part in a meme:

  Dear gods, #IHateIt when it's cold outside

We don't need algorithmic help to find hash tags in these cases either, and I'm arguing that automatically converting every third word into a hash tag doesn't do Twitter feeds any good, quality-wise.