The spread of true and false news online

被引：4214
作者：
Vosoughi, Soroush [1 ]
Roy, Deb [1 ]
Aral, Sinan [2 ]
机构：
[1] MIT, Media Lab, E14-526,75 Amherst St, Cambridge, MA 02142 USA
[2] MIT, E62-364,100 Main St, Cambridge, MA 02142 USA
来源：
SCIENCE | 2018年 / 359卷 / 6380期
关键词：
D O I：
10.1126/science.aap9559
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise similar to 126,000 stories tweeted by similar to 3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it.
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页码：1146 / +
页数：6
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