The detection of fake news has received increasing attention over the past few years, but there are more subtle ways of deceiving one's audience. In addition to the content of news stories, their presentation can also be made misleading or biased. In this work, we study the impact of the ordering of news stories on audience perception. We introduce the problems of detecting cherry-picked news orderings and maximizing neutrality in news orderings. We prove hardness results and present several algorithms for approximately solving these problems. Furthermore, we provide extensive experimental results and present evidence of potential cherry-picking in the real world.

翻译：虚假新闻检测在过去几年中受到越来越多的关注，但还存在更隐蔽的误导受众方式。除了新闻故事的内容外，其呈现方式也可能具有误导性或倾向性。在本研究中，我们探讨了新闻故事排序对受众认知的影响，提出了检测选择性新闻排序以及最大化新闻排序中立性的问题。我们证明了相关问题的计算难度，并提出了多种近似求解算法。此外，我们提供了大量实验结果，并揭示了现实世界中可能存在选择性新闻排序的证据。