Applying a tendency to be well retweeted to false information detection

Z. Yoshida, M. Aritsugi
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引用次数: 2

Abstract

While a lot of useful information can be found in SNS, false information also diffuses through it, thereby confusing many people sometimes. In this paper, we predict a tendency of tweets to be well retweeted and consider applying the tendency to false information detection. The tendency prediction can be implemented with simple features of tweets. We examine the effect of the tendency when it is used in false information detection empirically. Our experimental results indicate that it would be valuable to take the tendency into account for the detection. We also discuss findings when applying them to tweets in Japanese.
将被良好转发的趋势应用于虚假信息检测
在社交网络中可以找到很多有用的信息的同时,虚假信息也在其中传播,有时会让很多人感到困惑。在本文中,我们预测了推文被良好转发的趋势,并考虑将这种趋势应用于虚假信息检测。趋势预测可以通过简单的推文特征来实现。我们从实证的角度考察了这种倾向在虚假信息检测中的作用。我们的实验结果表明,将这种倾向考虑到检测中是有价值的。我们还讨论了将其应用于日语推文时的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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