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第一段

1 .This is Scientific American 60-Second Science. I'm Christopher Intagliata. Got a minute?

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2 .It can be rude to talk politics over dinner¡ explicitly at least.

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3 .But subtle linguistic cues might reveal more than you think about your political views, whether at the dinner table or on Twitter.

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4 ."There's a lot of information in the details of our language."

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5 .Matthew Purver, a computational linguist at Queen Mary University of London.

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6 ."The little words we use, the way we join together our sentences, and the kind of interactional patterns, where we react to other people."

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7 .Purver's research team used Twitter as their communications forum, randomly selecting 28,000 users, half of whom clearly followed one political party's Twitter feeds, for example, @GOP,

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8 .but not the other, for a more or less even split among Republicans and Democrats.

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9 .Then they analyzed the words in those users' timelines during a two-week period in June 2014.

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10 .As you might expect, the tweets of users who followed Republican accounts were a lot more likely to contain words like "obamacare" and "benghazi," whereas "bridgegate" came up more among Democratic followers.

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11 .But the researchers also found that the left-leaners were much more likely to use words like sh#& and fu@$ than were the righties.

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12 .And whereas Republican followers preferred plural pronouns like "we" or "us," Democratic followers used more singular pronouns, like "I" or "me."

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13 .That pronoun use could reflect previous work on how people on the right and left forge their political views.

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14 ."People on the right end of the political spectrum are more likely to be concerned with group conformity.

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15 .Whereas people who tend to be on the left are perhaps more likely to see their morals or their values deriving from individualistic ideas, if you like."

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16 .The study is in the journal PLOS ONE.

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17 .Of course, just following a political account is not proof of political belief.

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18 .But these findings suggest that algorithms may increasingly be able to read between the lines, detecting nuances in human communication that even we humans can't perceive.

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19 .Thanks for the minute, for Scientific American 60-Second Science. I'm Christopher Intagliata.

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