Nous vous proposons aujourd’hui un nouveau format : l’exercice de compréhension écrite en anglais.
Ce premier texte traite du « Social Credit System », un système de surveillance que la Chine est en train de mettre en place pour ses citoyens. Ceux qui connaissent la série Black mirror voient déjà de quoi il s’agit…
L’exercice est adapté pour des niveaux B2-C1.
C’est parti!
The article
The original article can be read here.
Big data meets Big Brother as China moves to rate its citizens
Others are less sanguine about its wider purpose. « It is very ambitious in both depth and scope, including scrutinising individual behaviour and what books people are reading. It’s Amazon’s consumer tracking with an Orwellian political twist, » is how Johan Lagerkvist, a Chinese internet specialist at the Swedish Institute of International Affairs, described the social credit system. Rogier Creemers, a post-doctoral scholar specialising in Chinese law and governance at the Van Vollenhoven Institute at Leiden University, who published a comprehensive translation of the plan, compared it to « Yelp reviews with the nanny state watching over your shoulder ».
For now, technically, participating in China’s Citizen Scores is voluntary. But by 2020 it will be mandatory. The behaviour of every single citizen and legal person (which includes every company or other entity) in China will be rated and ranked, whether they like it or not.
Prior to its national roll-out in 2020, the Chinese government is taking a watch-and-learn approach. In this marriage between communist oversight and capitalist can-do, the government has given a licence to eight private companies to come up with systems and algorithms for social credit scores. Predictably, data giants currently run two of the best-known projects.
The first is with China Rapid Finance, a partner of the social-network behemoth Tencent and developer of the messaging app WeChat with more than 850 million active users. The other, Sesame Credit, is run by the Ant Financial Services Group (AFSG), an affiliate company of Alibaba. Ant Financial sells insurance products and provides loans to small- to medium-sized businesses. However, the real star of Ant is AliPay, its payments arm that people use not only to buy things online, but also for restaurants, taxis, school fees, cinema tickets and even to transfer money to each other.
Sesame Credit has also teamed up with other data-generating platforms, such as Didi Chuxing, the ride-hailing company that was Uber’s main competitor in China before it acquired the American company’s Chinese operations in 2016, and Baihe, the country’s largest online matchmaking service. It’s not hard to see how that all adds up to gargantuan amounts of big data that Sesame Credit can tap into to assess how people behave and rate them accordingly.
So just how are people rated? Individuals on Sesame Credit are measured by a score ranging between 350 and 950 points. Alibaba does not divulge the « complex algorithm » it uses to calculate the number but they do reveal the five factors taken into account. The first is credit history. For example, does the citizen pay their electricity or phone bill on time? Next is fulfilment capacity, which it defines in its guidelines as « a user’s ability to fulfil his/her contract obligations ». The third factor is personal characteristics, verifying personal information such as someone’s mobile phone number and address. But the fourth category, behaviour and preference, is where it gets interesting.
Under this system, something as innocuous as a person’s shopping habits become a measure of character. Alibaba admits it judges people by the types of products they buy. « Someone who plays video games for ten hours a day, for example, would be considered an idle person, » says Li Yingyun, Sesame’s Technology Director. « Someone who frequently buys diapers would be considered as probably a parent, who on balance is more likely to have a sense of responsibility. » So the system not only investigates behaviour – it shapes it. It « nudges » citizens away from purchases and behaviours the government does not like.
Friends matter, too. The fifth category is interpersonal relationships. What does their choice of online friends and their interactions say about the person being assessed? Sharing what Sesame Credit refers to as « positive energy » online, nice messages about the government or how well the country’s economy is doing, will make your score go up.
Alibaba is adamant that, currently, anything negative posted on social media does not affect scores (we don’t know if this is true or not because the algorithm is secret). But you can see how this might play out when the government’s own citizen score system officially launches in 2020.
(…)
Posting dissenting political opinions or links mentioning Tiananmen Square has never been wise in China, but now it could directly hurt a citizen’s rating. But here’s the real kicker: a person’s own score will also be affected by what their online friends say and do, beyond their own contact with them. If someone they are connected to online posts a negative comment, their own score will also be dragged down.
So why have millions of people already signed up to what amounts to a trial run for a publicly endorsed government surveillance system? There may be darker, unstated reasons – fear of reprisals, for instance, for those who don’t put their hand up – but there is also a lure, in the form of rewards and « special privileges » for those citizens who prove themselves to be « trustworthy » on Sesame Credit.
If their score reaches 600, they can take out a Just Spend loan of up to 5,000 yuan (around £565) to use to shop online, as long as it’s on an Alibaba site. Reach 650 points, they may rent a car without leaving a deposit. They are also entitled to faster check-in at hotels and use of the VIP check-in at Beijing Capital International Airport. Those with more than 666 points can get a cash loan of up to 50,000 yuan (£5,700), obviously from Ant Financial Services. Get above 700 and they can apply for Singapore travel without supporting documents such as an employee letter. And at 750, they get fast-tracked application to a coveted pan-European Schengen visa. « I think the best way to understand the system is as a sort of bastard love child of a loyalty scheme, » says Creemers.
Higher scores have already become a status symbol, with almost 100,000 people bragging about their scores on Weibo (the Chinese equivalent of Twitter) within months of launch. A citizen’s score can even affect their odds of getting a date, or a marriage partner, because the higher their Sesame rating, the more prominent their dating profile is on Baihe.
(…)
The new system reflects a cunning paradigm shift. As we’ve noted, instead of trying to enforce stability or conformity with a big stick and a good dose of top-down fear, the government is attempting to make obedience feel like gaming. It is a method of social control dressed up in some points-reward system. It’s gamified obedience.
(…)
For instance, people with low ratings will have slower internet speeds; restricted access to restaurants, nightclubs or golf courses; and the removal of the right to travel freely abroad with, I quote, « restrictive control on consumption within holiday areas or travel businesses ». Scores will influence a person’s rental applications, their ability to get insurance or a loan and even social-security benefits. Citizens with low scores will not be hired by certain employers and will be forbidden from obtaining some jobs, including in the civil service, journalism and legal fields, where of course you must be deemed trustworthy. Low-rating citizens will also be restricted when it comes to enrolling themselves or their children in high-paying private schools. I am not fabricating this list of punishments. It’s the reality Chinese citizens will face. As the government document states, the social credit system will « allow the trustworthy to roam everywhere under heaven while making it hard for the discredited to take a single step ».
(…)

Questions
Répondez aux 10 questions dans le formulaire qui suit: