Twitter will show content from more people you don’t know and that doesn’t seem like a good idea

It’s like there isn’t a day without news. twitter along with the changes in the way they work and this will become a grind for many who have this social network as something important in their life. Well, a new way forward has been discovered in terms of what each user has to do with the recommended content they see… and it’s pretty important.

The company announced that this time on one of its official accounts (no message from Elon Musk), it has decided to gradually apply the recommendations to all users. This is to provide a better experience of finding interesting things beyond already followed accounts. Among the details that Twitter conveyed, there is one very remarkable thing: Everything will be fine. algorithmic contentso choose what to show, taking into account the possible interests they have.

Application can be a big problem

This is one of the things that can directly affect users – not the only one – and they don’t see the new option implemented on Twitter as a positive thing (great for the company, because with this functionality you have the option to increase payment accounts). The thing is, new recommendations be obvious both in tab Discover as elsewhere on the platform, by no means to feed beginning -as well as the revision of recent messages- are affected.

Any of the above-mentioned options, advices they have one similar load As can be seen from the accounts followed, it is highly likely that Twitter will have a significant rebound effect (we’re always talking about the negative, of course). Also, because Elon Musk is in control of the social network, changes are made quickly and abruptly – and it’s okay if something needs to be changed. This can happen as certain areas of the app can be flooded with information that is not particularly relevant to the user.

An idea that isn’t new on Twitter

Before Musk came along, the social network had a similar idea: to increase the presence of recommendations. However, the response from users was not very good, and anything related to algorithms was downright rejected. And the result—because the criticism was fierce—was to take a step back. Therefore, there is experience in this and it would be better Twitter be careful because it’s not a service like TikTok that has referral display in its DNA (and those with an account know what they’ve been exposed to from the start).