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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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7. A Do you have a pen I could borrow? B Sorry, but I don't. A: ( ) Thanks anyway. ①Oh, you do. That's too good. 2 Here you are. 4 That's all right. 8. Sally: Can you wait for a couple of more minutes, Jack? I'm not ready yet. ) I'll be in the car, so don't forget to lock the door. Jack( ①I'll miss you. 3 OK. I can't see it. 9. A We're all finished. B: Yes. Everything was great! ②Not so much. ④Sure. No problem. A Thank you so much. We never could have done it without you! B: ( It was my pleasure. 1 Not at all. 3 Nothing to mention. ②You're right. 4 I'm sure you couldn't. <名 10. A Hurry up, or you will be late for the train. B: ( ) The train comes every three minutes. 1 I'm going. ② You said that. 3 I'm coming. 4 Don't worry. 11. A Would you mind turning off the TV? I have to get to sleep early tonight. B: ( ) You're right, we have tests tomorrow. 1 No, I don't want to. ③ I don't suppose so. 2 Yes, of course. 4 Certainly not. 12. A I'm headed to the library to check out some books. B:( ) A Not at all. I was hoping you would. Could you pick up something for me? 2 Do you have enough time? ③ Mind if I tag along? 4 Should I come with you? 13. A( ) B Sure, what is it? A: Can you keep an eye on my bag, please? I'd like to grab a coffee.b B : Go ahead. It will be safe with me. Would you like me to get some coffee? 2 Do you know where I put my bag? 3 Have you ever lost a bag at the airport? Can you do me a favor? ad

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