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This is Scientific American 60-Second Science. I'm Christopher Intagliata. Got a minute?
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It can be rude to talk politics over dinner¡ explicitly at least.
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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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"There's a lot of information in the details of our language."
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Matthew Purver, a computational linguist at Queen Mary University of London.
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"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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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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but not the other, for a more or less even split among Republicans and Democrats.
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Then they analyzed the words in those users' timelines during a two-week period in June 2014.
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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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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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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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That pronoun use could reflect previous work on how people on the right and left forge their political views.
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"People on the right end of the political spectrum are more likely to be concerned with group conformity.
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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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The study is in the journal PLOS ONE.
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Of course, just following a political account is not proof of political belief.
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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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Thanks for the minute, for Scientific American 60-Second Science. I'm Christopher Intagliata.
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1 / 19
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显示原文 =This is Scientific American 60-Second Science. I'm Christopher Intagliata. Got a minute?
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2 / 19
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显示原文 =It can be rude to talk politics over dinner¡ explicitly at least.
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3 / 19
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显示原文 =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 / 19
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显示原文 ="There's a lot of information in the details of our language."
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5 / 19
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显示原文 =Matthew Purver, a computational linguist at Queen Mary University of London.
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6 / 19
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显示原文 ="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 / 19
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显示原文 =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 / 19
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显示原文 =but not the other, for a more or less even split among Republicans and Democrats.
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9 / 19
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显示原文 =Then they analyzed the words in those users' timelines during a two-week period in June 2014.
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10 / 19
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显示原文 =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 / 19
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显示原文 =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 / 19
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显示原文 =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 / 19
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显示原文 =That pronoun use could reflect previous work on how people on the right and left forge their political views.
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14 / 19
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显示原文 ="People on the right end of the political spectrum are more likely to be concerned with group conformity.
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15 / 19
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显示原文 =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 / 19
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显示原文 =The study is in the journal PLOS ONE.
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17 / 19
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显示原文 =Of course, just following a political account is not proof of political belief.
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18 / 19
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显示原文 =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 / 19
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显示原文 =Thanks for the minute, for Scientific American 60-Second Science. I'm Christopher Intagliata.
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- 单句循环:关
- 单句循环:×3
- 单句循环:×5
- 单句循环:∞