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TOEIC・英語 大学生・専門学校生・社会人

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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

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LE3 oN . 5つの基本文型· そ 文の5構造…文の4要素(主語S、 述語動詞V、目的語O、 補語C)の用法を動詞の性質によって5つの構造 に分類することができる。 Teati ,itowver Ateami She laughed. He became a doctor. My sister likes Ken. 11 SV (彼女は笑った。) (彼は医者になった。) (妹はケンが好きだ。) (私は彼にいくらかお金を与えた。) 2 SVC e era SVO V 鉄 S O 4 SVOO !gave him some money. V Vsrd S O 5 SVOC The news made us sad. O (そのニュースは私たちを悲しませた。)o A u4DODgD A 下線部は文のどの要素にあたるか, 次の記号で記入しなさい。 [S=主語,V=述語動詞, 0=目的語, C=補語, X=その他) 文本日の A She turned pale to hear the news. ア イウ エ (ア3 イ= ウ= エ= ) 2 We elected Mike captain of our team. ア イ ウ エ (ア= イ= ウ= bib エ= 3 My uncle told me a funny story. ア Tiud vort イウ ntere エ (ア= mesc エ= イ= ウ= の A bird is singing merrily in the tree. S川TON bolool イ= ウ= エ= 本Aイ Cas ア イ TH soe you エ (ア= 5) I will miss you a lot. dood sdh ( (ア= moT avag! ア イ ウ エ イ= ウ= エ= isit me ton. Japan 1o banogo 1oob of B 次の各文をその意味を変えずに書きかえなさい。 US Don't run around in the hospital. {you ) around in the hospital. ke Emily bought her mother a sweater. Emily bought ) her mother. lapan? C 次の文の意味に合うように, ( ) 内の語を並べかえなさい。 彼らは赤ちゃんをチャーリーと名付けました。 (Charlie / they /their/ named / baby). Primer

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