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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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TOEIC・英語 大学生・専門学校生・社会人

2つ質問があります。 一つ目のマーカーのところの「to be」、これはSVOCを振るとすればO(目的語)でしょうか。 二つ目のマーカーの分構造はどうなっているのでしょうか。where以下で動詞が見つけられず、意味がとれません。

Type 8 意図問題 Exercise 19 The author mentions "a cellphone call" in order to ni ed nsp pniwaliofanit toallanitý A compare how different ways of receiving information affects memory emsp erit vert A ® emphasize the importance of repetition to absorb information on ob on ob veriT (8 O demonstrate ways to counteract retroactive inhibition work so ton ob O show how new information can hinder the retention of previously learned TO information € it vit vedT 0. vedtok れ れ to that can changed copia Tvo There are a number of events that can cause humans to forget information they have already learned and stored in their memory. One cause is believed to be a type of interference phenomenon known as retroactive inhibition, where a sudden influx of new information blocks the retention of older learned material. A driver might hear a phone number on the radio that he wants to call, so he repeats it out loud until he can recite it from memory. Then, the driver receives a cellphone call from his manager. In the time it takes the driver to absorb the information from his manager, he has forgotten the number he repeated just a few seconds before. Vildo L

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