It would be unbelievable that they did not encounter a post on an issue that triggers them. Perhaps one day they opened the Facebook for the sole purpose of submitting something or checking a profile and a post on the top of the news feed screams out in bold letters or the real problem is LEFTISTS. It is when they choose to remark, or henceforth, the algorithm will not leave you in peace until it knows your ideology—all in the name of data, a hallmark of The Rise of Data Capitalism.
An example: say we had all the heights of the students in a school, we will have Data on them; say we have the heights of this year and last year, then we have Information, otherwise nothing might have happened to Fulanito if he does not grow and his classmates do it is then when the information turns into Knowledge in that when we see a deficit in the growth of a student we can act accordingly, say we can give him some medication or some medication of that sort.
What is data capitalism?
In case such a company as Google gets your personal information (age, tastes, debts etc.), then it will be able to offer you an advertising suiting your needs and preferences. However, it is not only three data points that these prediction systems use, instead, they utilize machine learning (A.I) to process at least ten thousand personal data points about each person. Such amount may be hard to arrive at but in the case of these corporations, it will be no challenge say Google needs to know your relationship status or your musical preferences, then it can acquire such information.
By buying the data base from Facebook (META) or Spotify. When we consider trillions of data together with millions of users we are dealing with the Big Data, which is good information nevertheless, but impossible to deal with by a person. It is because of the existence of AI, mechanical means.
A short framework of data capitalism
To handle mass quantities of information: In case we make an AI whose task is to predict musical taste of the user, the following will take place: Age (Wj1) = 19(Xi1), Nationality (Wj2) = Argentina (x2), Favorite color (Wj3) = Blue (x3), etc. will be added to each other in formula form: y=f(wi, xi), and will serve the purpose of y= It is most probably true that they are interested in national rock. Their musical preferences in turn can determine whether they are more likely to give a progressive or a conservative party their vote by a percentage basis.
In case we consider it in the plane of social networks, the algorithm of Facebook, Instagram, and so on will offer you something according to its supposition. But here the issue does not close. Manipulability thrives on predictability. This is to say that, in the case that I can be able to dictate what a single, but not millions of people do, then I can find it easy to control their forces. Here, it is notable that I did not state that anyone would manipulate them, but their influences, the likes of which influencer, to put it redundantly, affect the user as is whether an argument of highly influential characters.
Stepping through the modernization of data
By doing this, democracy stands proud of the facades of monopolizing all sorts of things and the billionaires who clean their hands. Relating to allegations of the manipulation of democratic processes, Mark Zuckerberg, in an election year in the U.S., speaking, at an event. This triangulated manipulation is termed the microtargeting and this is very effective in selling you a product along with a politician. Behind the fancy name is censorship I will not show you left-wing influencers and show you only the right-wing ones if I want you to vote to the right. Outwardly, it is not at all like that hyper-technological vision of the cloud as a virtual and gaseous digital environment. At the interior of the building are the endless stacks.
Conclusion
Of the servers that buzz and guzzle large amount of water and fossil-fuel electricity just to facilitate the flow of a huge stream of information. Apparently, it is rather unlikely that this facility of the Japanese telecommunications corporation NTT has anything to do with the history of the district to which it is located, and which was constructed more than a century and twenty years ago by the industrial corporation Siemens to produce goods and house its members of staff. And in spite of this building and infrastructure it symbolizes, the building stands behind the wealthiest and the most powerful.
Enterprises of the globe. It is an expression of exploitation of people and extractivism that is ruining our planet and more and more attempting to colonize our lives and social relations in the form of data. Its current favorite, said by the big tech companies (Alphabet, Amazon, Apple, Microsoft, or Meta) and their Chinese equivalents (Alibaba, Tencent, and Weibo) alike, is the suggestion that data is the new raw material that needs to be exploited.
