Post by account_disabled on Mar 12, 2024 8:56:43 GMT
The large number of Italian users who have recently discovered the work platform has also highlighted its critical issues and opportunities. The most evident phenomenon that we can appreciate compared to even just a year ago is that the arrival of the general public on LinkedIn has caused the expansion of the topics covered, which have now taken on a "POP connotation" . It is not uncommon, in fact, to see posts that have nothing professional about them and light content, those that, so to speak, are shared on Facebook. Plenty of space for mathematical games, puppies and selfies . The arrival of the wider user has the characteristic of broadening and distracting from the main focus, which on LinkedIn should be the conversation of a professional nature. I am not among those who criticize this behavior, even if I consider it to be the basis of the improper use of the platform.
I certainly strongly advise against it to anyone who wants to make the platform India Mobile Number Data the professional use for which it was designed, but I am happy to see life and its opportunities. The opportunities I'm talking about are called newsfeed and virality! Last year I would not have imagined that it would be possible to create "viral" content on LinkedIn. Now they are almost within everyone's reach. Let's see how and why. The platform's newsfeed is spartan and in no way comparable to Facebook's diabolical algorithm, in which the variables that come into play are perhaps hundreds and allow complex elements such as affinity or residence time to be calculated. I haven't found any posts from anyone who has collected and analyzed data on this.
Mine are empirical observations and I use them to try to highlight what I think works and what I have actually seen work. Given this clarification, if anyone has additional information, write it in the comments and I will be the first to appreciate it. The algorithm is based on the time factor, combined with the quantity of interactions, but without distinctions of quality or greater or lesser effectiveness. At first glance, it seems that the interactions have about the same weight. In fact, if you are connected to 500 people you see the interactions on the posts and their preferences, just like a share. This aspect makes the platform incredibly interesting for viralizing content. In practice, if I share an article that gets good interactions, it also remains afloat in the home pages of all the people connected to those who interacted with it. Magnificent. This is why it is not uncommon to see interactions on even very old posts.
I certainly strongly advise against it to anyone who wants to make the platform India Mobile Number Data the professional use for which it was designed, but I am happy to see life and its opportunities. The opportunities I'm talking about are called newsfeed and virality! Last year I would not have imagined that it would be possible to create "viral" content on LinkedIn. Now they are almost within everyone's reach. Let's see how and why. The platform's newsfeed is spartan and in no way comparable to Facebook's diabolical algorithm, in which the variables that come into play are perhaps hundreds and allow complex elements such as affinity or residence time to be calculated. I haven't found any posts from anyone who has collected and analyzed data on this.
Mine are empirical observations and I use them to try to highlight what I think works and what I have actually seen work. Given this clarification, if anyone has additional information, write it in the comments and I will be the first to appreciate it. The algorithm is based on the time factor, combined with the quantity of interactions, but without distinctions of quality or greater or lesser effectiveness. At first glance, it seems that the interactions have about the same weight. In fact, if you are connected to 500 people you see the interactions on the posts and their preferences, just like a share. This aspect makes the platform incredibly interesting for viralizing content. In practice, if I share an article that gets good interactions, it also remains afloat in the home pages of all the people connected to those who interacted with it. Magnificent. This is why it is not uncommon to see interactions on even very old posts.