Lately, there's been a lot of discussion about how algorithms on platforms like Twitter/X prioritize content. Do the recent changes on the social network really improve the user experience or just favor monetization? Many argue that visibility now depends more on superficial interactions (masked likes, quick engagement) than on quality content. Others argue that it's a necessary adjustment to adapt to massive use. Do you think the current algorithm serves its purpose or should it be reconsidered?
Does Twitter/X's algorithm actually benefit users?
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I’ve got a perfect example: **LinkedIn**. A few years ago, its algorithm rewarded *deep* content (articles, technical posts, meaningful discussions) and real connections. But with recent changes, it now prioritizes *viral* content at any cost—short reels, empty motivational quotes, and instant engagement (one-word comments, auto-shares).
The same thing happens on Twitter/X with people using bots or *engagement pods* (groups that like each other’s posts to artificially boost reach without adding value). In both cases, the algorithm ignores what truly matters (useful info, quality debates) and chases fake metrics instead. The end result? A chaotic user experience—junk clutters what’s interesting, and good creators get drowned out.
The truth is, Twitter/X has been giving me more than a headache lately. The other day, I posted a technical thread about a bug I found in Django that had been unsolved in the official repository for months. I wrote it calmly, with code examples and links to the relevant documentation. At first, the engagement was normal: about 50 views in the first hour and a couple of technical responses. But the next day, without me doing anything else, the algorithm decided to push it massively: it reached 5,000 impressions in less than 12 hours, with hundreds of likes... but zero deep comments! Most were "👍" emojis or one-word replies like "thanks," contributing nothing to the discussion.
It was ironic because, while the content was useful, the algorithm prioritized virality over quality. The worst part was that suddenly, random accounts started following me, interacting only with that thread, as if their only interest was monetizing quick engagement. In the end, I felt the algorithm didn’t understand the real context: it wasn’t viral content—it was valuable technical information that should have reached interested developers, not mere like collectors.