论文标题
事实在哪里？搜索事实检查的信息以减轻假新闻的传播
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
论文作者
论文摘要
尽管在学术界和行业中已经开发了许多事实检查系统，但假新闻仍在社交媒体上激增。这些系统主要集中于事实检查，但通常忽略了在线用户，这些用户是传播错误信息的主要驱动力。我们如何使用事实检查的信息来提高用户对被暴露的虚假新闻的意识？我们如何阻止用户传播假新闻？为了解决这些问题，我们提出了一个新颖的框架来搜索事实检查文章，该文章解决了在线用户发布的原始推文（可能包含错误信息）的内容。搜索可以直接警告假新闻海报和在线用户（例如，海报的追随者）有关错误信息，阻止他们传播虚假新闻，并在社交媒体上扩大验证的内容。我们的框架同时使用文本和图像来搜索事实检查文章，并在现实世界数据集上实现了有希望的结果。我们的代码和数据集在https://github.com/nguyenvo09/emnlp2020上发布。
Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the spread of misinformation. How can we use fact-checked information to improve users' consciousness of fake news to which they are exposed? How can we stop users from spreading fake news? To tackle these questions, we propose a novel framework to search for fact-checking articles, which address the content of an original tweet (that may contain misinformation) posted by online users. The search can directly warn fake news posters and online users (e.g. the posters' followers) about misinformation, discourage them from spreading fake news, and scale up verified content on social media. Our framework uses both text and images to search for fact-checking articles, and achieves promising results on real-world datasets. Our code and datasets are released at https://github.com/nguyenvo09/EMNLP2020.
