Nowadays social media is widely used as the source of information because of its low cost, easy to access nature. However, consuming news from social media is a double-edged sword because of the wide propagation of fake news, i.e., news with intentionally false information. Fake news is a serious problem because it has negative impacts on individuals as well as society large. In the social media the information is spread fast and hence detection mechanism should be able to predict news fast enough to stop the dissemination of fake news. Therefore, detecting fake news on social media is an extremely important and also a technically challenging problem. In this paper, we present FakeNewsTracker, a system for fake news understanding and detection. As we will show, FakeNewsTracker can automatically collect data for news pieces and social context, which benefits further research of understanding and predicting fake news with effective visualization techniques.

中文翻译：

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FakeNewsTracker：用于伪造新闻收集，检测和可视化的工具

如今，社交媒体由于其成本低，易于访问的性质而被广泛用作信息源。然而，由于虚假新闻的广泛传播，来自社交媒体的新闻消费是一把双刃剑。，即带有故意虚假信息的新闻。假新闻是一个严重的问题，因为它对个人乃至整个社会都有负面影响。在社交媒体中，信息传播迅速，因此检测机制应该能够足够快地预测新闻，以阻止假新闻的传播。因此，在社交媒体上检测假新闻是非常重要的，也是一个技术难题。在本文中，我们介绍了FakeNewsTracker，这是一个用于假新闻理解和检测的系统。正如我们将展示的那样，FakeNewsTracker可以自动收集新闻片段和社交环境的数据，这将有助于使用有效的可视化技术进一步研究了解和预测假新闻。