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15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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英語 高校生

英検2級writing 添削をしていただきたいです🙇‍♀️字が読みにくいかもしれません💦

2 ●以下の英文を読んで その内容を英語で要約し、解答欄に記入しなさい。 ●語数の目安は 45 語~ 55 語です。 ●解答欄の外に書かれたものは採点されません。 ●解答が英文の要約になっていないと判断された場合は、0点と採点されることがあります。 英文をよく読んで から答えてください。 In recent years, AI has become increasingly familiar in daily life. In particular, the introduction of AI systems into cars is attracting a lot of attention. Car manufacturers in Japan and other countries have been focusing their time and efforts on developing self-driving cars. Within the next few decades, they may become commonplace. What are the benefits of self-driving cars? First, by having an automated driving system control driving, the physical and mental burden on the driver will be significantly reduced. Also, there may be fewer traffic accidents because driving errors by drivers will be reduced. On the other hand, there are some concerns about self-driving cars. First, until self-driving cars are mass-produced, manufacturing costs are expected to be very high. Additionally, if the programs controlling self-driving cars are rewritten through hacking or other means, it may lead to accidents or crimes. Therefore, it is essential to ensure the security of the systems. 解答欄 Self-driving cars may become commonplace. It can reduce physical and mental burden on the driver and (20) be fewer traffic accidents. However. It costs are expected to be very high. Also if it hacking or other means, it may lead to accidents or crimes, so 43 it is essential to ensure the security of the systems. 110

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