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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

474と476は問題でhave A ( )となっていたらどっちを入れてもいいですか?

:) 474. have Ado原形不定詞が補語 Toronto mismoet W have A do は, 「Aに・・・してもらう [させる]」の意味を表し、 haveの目的語であるA と目的格補語の do が能動関係になっていることに注意。 get A to do (473) とほぼ同 意と考えておけばよいが, get A to do 「(頼んで) Aに・・・ してもらう」に対して have Ado は, 「(Aの義務として)Aに・・・してもらう」 といったニュアンスの違いがある。ま (大和 注意。 get の場合は、目的格補語に to 不定詞, have の場合は,原形不定詞がくることに 475. get A done ・過去分詞が補語 beel alod (8) wildcath W get[have] A done には (1) Aをしてもらう[させる] (使役)」 (2) 「A を…される (受身被害)」 (3) 「(主語が) Aを・・・してしまう(完了)」の3つの意味がある。Aと done は受動関係となる。 TARGET 73 (2) の用法 get A caught between B (複数名 ○ 本間の get A done は (2) の用法。 get A caught between B (複数名詞) は, 「AをB Oget (2) Ac の間に挟まれる」の意味。 gaidaiant arlol S 29reini adol it 476. have A done 過去分詞が補語 ndol tedt 大) W dainit ot ndlol ⑤ ○問題 475 で扱った (1) Aを・・・ してもらう[させる] (使役)」 が本間のポイント。 ② to have (my teeth treated) の to不定詞は, 「目的」 …するために) を表す副詞用法。 2 D 「bon A do」, 「help do」

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