This paper presents a new social media phenomenon that sees users lying about their deceptive motivations by either dishonestly claiming that they are not bots or by asserting that real news is actually fake news. We analyzed the use of the #FakeNews and #NotABot hashtags in Twitter data collected on the 2019 Canadian federal elections. Our findings show that the #FakeNews hashtag was most likely to be connected to an established news source rather than an actual fake news site and that users of the #NotABot hashtag were no more likely to be human than other users in our data set. This phenomenon of lying about lying has been used to discredit well-known news organizations and amplify political misinformation, showing how online influence campaigns continue to evolve to manipulate social media users even as people have become more aware of the dangers of online misinformation.

本文提出了一种新的社交媒体现象，通过不诚实地声称自己不是机器人，或者断言真实新闻实际上是虚假新闻，使用户撒谎欺骗自己的动机。我们分析了2019年加拿大联邦大选收集的Twitter数据中#FakeNews和#NotABot主题标签的使用情况。我们的发现表明，＃FakeNews主题标签最有可能与已建立的新闻源而不是实际的虚假新闻网站相关，并且#NotABot主题标签的用户与我们数据集中的其他用户相比，不像人类。这种关于撒谎的撒谎现象已被用来抹黑知名新闻机构并放大政治错误信息，