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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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14. (At the office) A Martin? B Yes? A Close the door, would you? I'm freezing. B( ) 1 What for? 15. Man Excuse me. 2 If I can. 3 No wonder. 4 Sure. I'm sorry.) Woman: Yes, sir. How can I help you? Man I'd like another glass of water, please. Woman ( ), sir. I'll bring one right away. 1 Certainly 2 Definitely 16. A Do you mind if I go first? ava B ( ) I'm in no hurry. A Thanks, I really appreciate it. T I wish you could. 3 Never mind. 17. A Shall we go out for dinner? 3 Perhaps i sve 'so I bodeton D Probably (*+****) lle i ok 2 Go ahead. I can't wait. din yno.go < 大阪経済法科大) gring o 3 Not at all. 4 See you tomorrow. 〈駒澤大〉 18. Tom Can you recommend a good restaurant in Shibuya? B( ( By all means. 2 Me too. ☐ James ( ) French Garden? They serve very nice organic vegetable dishes. Tom Sounds nice! I'll have lunch there with my friends. Could you tell me the exact exfood amoz food vendit sill of baband m'lASI place? ①Why don't you try ③ Why should you try 19. (Weekend plans) 2 Why not I'm to try ④What about not trying() Mike What will you do this weekend, Kana? Kana I don't know. What will the weather be like? *Mike: Well, the forecast says it's going to be sunny. (1) amo 1 blue Kana No thanks! I don't want to get another sunburn. 1 Who cares? 3 Why don't we go to the beach? ☐ 20. A Do you like action movies? B Yes, I love them. A: ( ) B That would be great! 〈盛岡大〉 2 Which film do you want to watch? ④When does summer start in your country? Are you seeing one together this weekend? 2 Will we be seeing one together this weekend? 3 How about seeing one together this weekend? ④What if we're seeing one together this weekend? 〈龍谷大〉

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