Lying About Lying on Social Media: A Case Study of the 2019 Canadian Elections
Lying About Lying on Social Media: A Case Study of the 2019 Canadian Elections
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社交媒体上的谎言：2019 年加拿大大选案例研究
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Kathleen M. Carley
中科院分区：
文献类型：
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作者：
Catherine King;D. Bellutta;Kathleen M. Carley
本文分析了一种新的社交媒体现象，即用户撒谎说自己不是机器人，或者说真实的新闻是假新闻。Twitter数据是在整个2019年加拿大联邦选举周期中收集的，我们调查了#FakeNews和#NotABot标签的使用情况。Twitter用户更多地将#FakeNews标签与主流新闻来源和记者联系起来，而不是实际的假新闻网站，通常是为了诋毁某些记者或观点。我们还发现，在我们的数据集中，#NotABot标签的用户并不比参与政治话语的其他用户更有可能是人类。据报道，试图冒充人类的机器人过去曾被用来放大错误信息。这种新型的在线防御策略显示了这些活动如何继续发展，并说明了它们未来可能如何运行。
This paper analyzes a new social media phenomenon in which users are lying about not being bots or about real news being fake news. Twitter data were collected throughout the 2019 Canadian federal election cycle, and we investigated the use of the #FakeNews and #NotABot hashtags. Twitter users connected the #FakeNews hashtag more often to mainstream news sources and reporters rather than actual fake news sites, often as a way to discredit certain reporters or viewpoints. We also found that users of the #NotABot hashtag were no more likely to be human than other users participating in political discourse in our data set. Bots that attempt to pass as human have been reportedly used to amplify misinformation campaigns in the past. This new type of online defensive strategy shows how these campaigns continue to evolve and illustrates how they may be run in the future.