Post by account_disabled on Mar 6, 2024 7:16:49 GMT
The pervasiveness of the social web is such that, if we don't stop to think for a moment, we don't realize the constant pressure to behave and be someone we're not. We know well how social networks, based on personalized advertising, know everything about us, observe us and monitor us . We also know that, depending on the country we live in, the government and law enforcement can access this data. The Edward Snowden case opened the eyes of those who had still closed them .
Why does all of this turn us into someone we are not, with the net effect of creating a tension between who we are online and our identity? Your digital tracks speak about Hong Kong Telegram Number Data you You like, leave a review, write a comment, click on a link, read an article, follow a video. In the meantime, there are those who record all your behaviors and try to classify who you are, your habits and what you like in a granular way. Facebook is a champion in this discipline, thanks to your volunteer work , but it's not the only one that knows a lot about your digital life.
What seemed frightening and even immoral fifty years ago we now mostly take for granted. We shouldn't. Facebook places its billions of customers into many more than 480 categories, based not on voluntary surveys but on pervasive surveillance. Machine-learning techniques intuit cultural “affinities” and political preferences. The algorithms sort users by location, education level, languages, financial standing, property ownership, occupation, age, gender, sexual preference, and relationship status. They track almost everything you buy, read, or watch.
Why does all of this turn us into someone we are not, with the net effect of creating a tension between who we are online and our identity? Your digital tracks speak about Hong Kong Telegram Number Data you You like, leave a review, write a comment, click on a link, read an article, follow a video. In the meantime, there are those who record all your behaviors and try to classify who you are, your habits and what you like in a granular way. Facebook is a champion in this discipline, thanks to your volunteer work , but it's not the only one that knows a lot about your digital life.
What seemed frightening and even immoral fifty years ago we now mostly take for granted. We shouldn't. Facebook places its billions of customers into many more than 480 categories, based not on voluntary surveys but on pervasive surveillance. Machine-learning techniques intuit cultural “affinities” and political preferences. The algorithms sort users by location, education level, languages, financial standing, property ownership, occupation, age, gender, sexual preference, and relationship status. They track almost everything you buy, read, or watch.