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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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公民 中学生

公民の勉強ってみんなどんな感じにやってるのー? 写真みたいな感じでやってみてるんだけどいいのかな? 字上手じゃないし影で見にくいかもー

119現在の世代の幸福と未来の世代の幸福の①(3) 両立を目指す社会 2 にのグローバル化 (3) 国際競争 ② 国際協力 国際分業 14 中国 (1)① ICT AI ③ IOT (2) メディアリテラシー ウ (3)1960年 2020年 2060年 ア イ 核家族世帯 ○単独世帯 (5) (6)出生数が減少している中、死亡数は あまり変化がなく、出生数が死方数より 少くなくなってしまい日本の人口が減っている 国際競争・・・貿易において、どちらの国 がより良い商品をより安く提供できるか ・国際分業・得意分野の製品をたくさん 生産して輸出し、そうでない分野のもの は輸入するということ ・国際協力・・・一国では解決できない。 世界規模の問題を解決するために、 各国が協力すること 回(1) ICT・情報通信技術・情報を インターネットなどでやりとりする技術。 例)スマホでLINEを使ってやりとりする。 AI・・・人工知能。機械に人間のような 知能を与える技術 例)チャットGPT IoT... 家電、自動車などの「もの」に 114 センターや通信機能をつけて、インターネット に接続して情報をやりとりする技術。 例)遠隔操作できるエアコン、 (2) メディアリテラシー・・・メディアの情報を 正しいものとしてそのまま受け入れるので はなく、何が信頼できる情報なのかを 冷静に判断する力

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