The spread of true and false news online
The spread of true and false news online
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DOI：
10.1126/science.aap9559
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发表时间：
2018-03-09
期刊：
影响因子：
56.9
通讯作者：
Aral, Sinan
中科院分区：
文献类型：
--
作者：
Vosoughi, Soroush;Roy, Deb;Aral, Sinan
我们调查了2006年至2017年在推特上发布的所有经过核实的真假新闻故事的差异扩散情况。这些数据包括类似的12.6万篇故事，被类似的300万人在推特上超过450万次。我们使用来自六个独立事实核查组织的信息将新闻分类为真或假，这些组织在分类上表现出95%到98%的一致性。在所有类别的信息中，虚假信息的传播比真实信息传播得更远、更快、更深、更广，而且对虚假政治新闻的影响比对恐怖主义、自然灾害、科学、城市传说或金融信息的虚假新闻更明显。我们发现，假新闻比真新闻更新颖，这表明人们更有可能分享新奇的信息。虚假的故事会在回复中引发恐惧、厌恶和惊讶，而真实的故事会激起期待、悲伤、喜悦和信任。与传统看法相反，机器人以同样的速度加速了真假新闻的传播，这意味着虚假新闻比真相传播得更多，因为更有可能传播的是人类，而不是机器人。
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.