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a team of teachers and students in shanghai investigated 45 vending machines in 28 universities and found that only 5 machines did not ask for personal information.

2024-08-29

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it home reported on august 29 that according to a report by the paper this morning, a shanghai university teacher liu jie (pseudonym) guided seven law students to spontaneously form a "galaxy information guard". through field tests of 45 vending machines in 28 universities in shanghai, they found that only five did not collect consumer personal information.

image source: pexels

among the other 40 machines, most require binding of mobile phone numbers. some vending machines require users to bind wechat accounts while following official accounts. some vending machines also induce consumers to use wechat or alipay to scan their faces. the vast majority of them require personal information to complete consumption.

liu jie, a college teacher, said that the reason for this survey was his own consumption experience - he had to rush to the "8 am" class and did not have time to eat at home, so he bought something from the vending machine on campus for the first time. but when he scanned the code to pay, the machine popped up two options: bind a mobile phone number or not bind a mobile phone number. after liu jie chose the latter, he found that the page would automatically jump back to the previous page - if the mobile phone number was not bound, the payment could not be completed.

liu jie thought of the suspected fraudulent phone calls he had received before, in which the other party had accurately stated his name and other personal information, so liu jie began to think about the issue of vending machines asking for personal information. that night, he found that another brand of vending machines next to his office also asked for personal information. "in life, everyone has become indifferent to this kind of information collection, but i think the less sensitive they are, the greater the potential risks may be." so he took 6 students to conduct a survey.

it home learned from the report that liu jie's team also conducted a questionnaire survey targeting college students. the survey questionnaire collected 1,000 valid samples, covering undergraduate, master and doctoral students in various majors. the results are as follows:

the highest level of concern is for traditional private information such as name and id number, reaching 59.29%.

under the new business model, the attention paid to biometric information such as voice and face ranks second, and the proportion is higher than that of family and work situation, mobile phone number, etc.

among the 1,000 students, 57.82% had experienced harassment or received unwanted sales calls, text messages, or emails; 52.21% had experienced "big data targeting the familiar"; 33.24% had encountered telecommunications fraud; and only 5.01% had not had any of the above experiences.

taking vending machines as an example, 74.04% of students have used vending machines at school. when faced with the situation of "must follow the official account or bind the mobile phone number or scan the face before consumption", 85.5% of them choose to accept it. the details are as follows:

the request was considered reasonable (43.16%).

although they feel it is unreasonable, it is not important (44.56%).

although they were unsure, they did the same thing because everyone else did it (42.69%).

only 51 people said they would report the situation to customer service or report it according to the law.

liu jie and his research team believe that protecting the personal information of college students requires the following: first, improving relevant legislation and strengthening legal publicity and education; second, urging companies to fulfill their responsibilities and increase supervision and law enforcement efforts; at the same time, guiding the formulation of "user-friendly" privacy protection guidelines and tiered service policies; finally, absorbing social forces and promoting public opinion supervision.