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English Senior High

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A: Amy T: Teacher was about 54% エイミー : 日本の投票率は約54%でした。 How about other countries? T: It's below 50% in France and it's above 90% in Australia. A: Really? The turnout in Australia is about twice as high as that in France. T: That's true. ほかの国はどうですか? 先生: フランスでは50%に届かないけ れど, オーストラリアは90%を 超えているね。 エイミー 本当ですか? オーストラリア の投票率は、フランスの約2倍 ですね。 先生:そのとおりだね。 EXERCISES ① 日本語の意味に合うように,適切な語を選びましょう。 gled Inoo worl.iH 1. I think English classes are (half / twice) as interesting as math classes. 英語の授業は数学の授業の2倍くらいおもしろいと思います。 2. I took as (manymore) pictures as Ken in Australia. 私は健と同じくらいたくさんの写真をオーストラリアで撮りました。 3. There is no mountain in Japan as (high/ higher) as Mt. Fuji. 富士山ほど高い山は日本にありません。 2 日本語の意味に合うように,( )内の語を並べかえましょう。 This winter (as / as / cold / is / not) last winter. 's not as cold as 今年の冬は昨年の冬ほど寒くないです。 amerit Japan is ( as / as / half / large) Chile half of largeas 日本はチリの半分の大きさです。 My sister ate (as / as / many / strawberries) my brother. 私の妹は兄と同じくらいたくさんのいちごを食べました。 ras many strawbellis as 2 右の絵を見て、空所に入る語を考えましょう。 Osaka alnog ocer 1.905 km² obribe esert G aka Prefecture is about Sinemeoolgen uter bluoW G Mie Prefecture. mert egnarlaxe Susie Cellome] 19gol ni Mie by bluoW 5 5,777km² Tuoyoa pol oxie ono not me ox toy no 投票率を示した統計表をもとに,自分の意見を発表しましょう。 ful Words & Expressions p.81-KL Country Singapore Turnout D 95.8

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TOEIC・English Undergraduate

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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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