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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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B 日本語と同じ意味になるように,( ① Mari saw a cat (ate / to eat / eat) food and then wash its face. (真理はネコがえさを食べて, それから顔を洗うのを見ました。) 2 The soccer game (found / made / kept ) me very excited. (そのサッカーの試合は私をとても興奮させました。) ③ Ms. Jones didn't let her daughter (study/studying/ to study) abroad. (ジョーンズさんは娘に留学させませんでした。) ④ Mary (knew/found/saw) Japanese food good for the health. (メアリーは日本食が体によいとわかりました。) Grammar チャレンジ 日本語と同じ意味になるように,( 内の語を並べかえましょう。 ① この製品は私たちの生活をよりよいものにするでしょう。 (our/make/better/lives) This product will ② 私は賢が老婦人を助けるのを見ました。 (saw/I/help/ Ken) ③ 鳥が鳴いているのが聞こえますか。 (a / singing / bird/ hear) Can you 母は私にテレビを見るのをやめさせました。 (off / turn / me / made) My mother Key Expressions 日本語と同じ意味になるように, ( ① 何人かの人が私たちの製品について不満を言いました。 area. 内から適切な語(句) を選びましょう。 知覚動詞の文だよ。 Some people ( ) ( ② 被災地にますます多くのボランティアがやってきました。 □周りの人に注意を払うべきです。 You should ( ) ( you. 使役動詞の文だよ。 内に適切な語を入れましょう。 ) our products. )( . an old lady. the TV. ) volunteers came to the disaster ) the people around Lesson 2 19

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