Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake

Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake
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分析社交媒体文章以促进怀疑假货体验的方法

DOI:
10.1109/icoco53166.2021.9673574
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发表时间:
2021
期刊:
Proc. 2021 IEEE International Conference on Computing
影响因子:
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通讯作者:
Shoichi Nakamura
Shoichi Nakamura
中科院分区:
--
文献类型:
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作者:
Ryo Onuma;Hiroki Nakayama;Hiroaki Kaminaga;Youzou Miyadera;Shoichi Nakamura

文献摘要

相似文献

社交媒体越来越多地被用作获取和传播信息的工具。然而,有很多虚假的文章和虚假的东西。因此,要很好地利用社交媒体,检查一篇文章的真实性很重要,但这种检查对于没有技能的人来说往往是困难的。在这项研究中,我们的目标是实现一种方法,通过关注文章读者的观点趋势来推广识别假冒文章的经验。这里,我们描述了该方法的框架,包括虚假文章和相关文章的提取,重点是引文。
Social media is increasingly used as a tool for acquiring and disseminating information. However, there are many fake articles and falsehoods. Accordingly, to make good use of social media, it is important to examine the authenticity of an article, but such examination is often difficult for unskilled people. In this research, we aim to realize a method for to promote experience in identifying fake articles by focusing on the opinion trends of article readers. Here, we describe a framework for this method, including extraction of fake articles and related articles, with a focus on citations.