论文标题
我们可以在写“假新闻”之前就发现它吗？
Can We Spot the "Fake News" Before It Was Even Written?
论文作者
论文摘要
鉴于最近在线虚假信息的扩散，人们对自动揭穿谣言，虚假主张和“假新闻”的研究兴趣也越来越多。到目前为止，已经制定了许多事实检查计划，包括手动和自动审核，但是整个企业仍然处于危机状态：到终于对事实进行了事实检查时，它可能已经吸引了数百万用户，并且很难撤消造成的伤害。可以说，更有希望的方向是专注于事实检查整个新闻媒体，这可以提前完成。然后，我们可以在新闻写之前进行事实检查：通过检查发布的媒体是多么值得信赖。我们在Tanbih新闻汇总器中描述了如何做到这一点，这使读者意识到他们正在阅读的内容。特别是，我们开发了媒体概况，这些媒体概况表明了报告的一般事实，宣传内容的程度，超级党派，领先的政治意识形态，一般报告框架以及对各种主张和主题的立场。
Given the recent proliferation of disinformation online, there has been also growing research interest in automatically debunking rumors, false claims, and "fake news." A number of fact-checking initiatives have been launched so far, both manual and automatic, but the whole enterprise remains in a state of crisis: by the time a claim is finally fact-checked, it could have reached millions of users, and the harm caused could hardly be undone. An arguably more promising direction is to focus on fact-checking entire news outlets, which can be done in advance. Then, we could fact-check the news before it was even written: by checking how trustworthy the outlets that published it is. We describe how we do this in the Tanbih news aggregator, which makes readers aware of what they are reading. In particular, we develop media profiles that show the general factuality of reporting, the degree of propagandistic content, hyper-partisanship, leading political ideology, general frame of reporting, and stance with respect to various claims and topics.
