What thing made Cambridge Analytica so effective?
One very interesting detail in the next case is that Cambridge Analytica got the benefit, that the name of that company was connected to the University of Cambridge, and that was causing, that people let that company search the data, what they handle when they have used the internet. People didn't think that the data, what they delivered or handled affect the political system of elections any kind of ways.
The case of Cambridge Analytica the thing was that the first time artificial intelligence was used for investigating opinions of people, and then the politicians could fix their speeches to please the great audience. In the Cambridge Analytica case, the thing, what allowed to hack political system, the tool what was used, was the algorithm, what was created for commercial use.
The idea was that the software, what meters people interest to the commercial products were used to product used for creating a political program, and this kind of things are making this kind of products very interesting multi-use programs what can use in many purposes. The key element is that the politician is the product like some soap or another thing, what we are finding in the supermarket.
And also politicians want to boost their careers, so maybe in the one day tomorrow or the future, we will see more cases like this. This case opened people eyes, that data is ever harmless. The thing is about the algorithm, which detects the interest of the politician by simply metering the time, what the person would spend while looking at the texts and videos, where the politician introduces ideas. The algorithm is similar to what is used for selecting the music for festivals.
They detect clicks to videos, and then the part of the video, which is mostly rewatched, and that thing tells the analysis, what kind of music some kind of people want to hear. This method can combine to the automatic collecting the data. But when we are thinking about the written text, how we are looking for things, what might interest people. The idea is that the political program is like some kind of rock festivals and the political program is entirety.
That thing is that the things, what politicians are promising are things, what are collected from many details. So how we could find out, what kinds of things are giving the votes to the right person. The thing is that people could give the text of the speeches of politicians, and ask would that person give the vote to some politician? During that time the system meter the time, what a person spends with text, but at the same time system detects, what part of this text the person would the individual reads. Those things are telling about interest for that thing.
And when the person would answer, the algorithm or artificial intelligence would meter the length of the breaks between those words, and also it detects the octave, and that thing would tell if the person is getting excited and that also tells if a person lies. The question is simple, "would you give your vote to that politician, and tell me why"? The thing, what helped this company in its mission is that the name, what this company used, connected it with the University of Cambridge, and it made people allow the Cambridge Analytica to collect the data, and use it in their purposes as I wrote at the beginning of this text.
One very interesting detail in the next case is that Cambridge Analytica got the benefit, that the name of that company was connected to the University of Cambridge, and that was causing, that people let that company search the data, what they handle when they have used the internet. People didn't think that the data, what they delivered or handled affect the political system of elections any kind of ways.
The case of Cambridge Analytica the thing was that the first time artificial intelligence was used for investigating opinions of people, and then the politicians could fix their speeches to please the great audience. In the Cambridge Analytica case, the thing, what allowed to hack political system, the tool what was used, was the algorithm, what was created for commercial use.
The idea was that the software, what meters people interest to the commercial products were used to product used for creating a political program, and this kind of things are making this kind of products very interesting multi-use programs what can use in many purposes. The key element is that the politician is the product like some soap or another thing, what we are finding in the supermarket.
And also politicians want to boost their careers, so maybe in the one day tomorrow or the future, we will see more cases like this. This case opened people eyes, that data is ever harmless. The thing is about the algorithm, which detects the interest of the politician by simply metering the time, what the person would spend while looking at the texts and videos, where the politician introduces ideas. The algorithm is similar to what is used for selecting the music for festivals.
They detect clicks to videos, and then the part of the video, which is mostly rewatched, and that thing tells the analysis, what kind of music some kind of people want to hear. This method can combine to the automatic collecting the data. But when we are thinking about the written text, how we are looking for things, what might interest people. The idea is that the political program is like some kind of rock festivals and the political program is entirety.
That thing is that the things, what politicians are promising are things, what are collected from many details. So how we could find out, what kinds of things are giving the votes to the right person. The thing is that people could give the text of the speeches of politicians, and ask would that person give the vote to some politician? During that time the system meter the time, what a person spends with text, but at the same time system detects, what part of this text the person would the individual reads. Those things are telling about interest for that thing.
And when the person would answer, the algorithm or artificial intelligence would meter the length of the breaks between those words, and also it detects the octave, and that thing would tell if the person is getting excited and that also tells if a person lies. The question is simple, "would you give your vote to that politician, and tell me why"? The thing, what helped this company in its mission is that the name, what this company used, connected it with the University of Cambridge, and it made people allow the Cambridge Analytica to collect the data, and use it in their purposes as I wrote at the beginning of this text.
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