Maximizing Neutrality in News Ordering
Maximizing Neutrality in News Ordering
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DOI：
10.1145/3580305.3599425
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Rishi Advani;Paolo Papotti;Abolfazl Asudeh
中科院分区：
文献类型：
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作者：
Rishi Advani;Paolo Papotti;Abolfazl Asudeh
在过去的几年里，假新闻的检测受到了越来越多的关注，但还有更微妙的方法来欺骗受众。除了新闻报道的内容外，它们的呈现方式也可能具有误导性或偏见。在这项工作中，我们研究了新闻故事的顺序对观众感知的影响。我们介绍了检测精选新闻排序和最大化新闻排序中立性的问题。我们证明了硬度结果，并提出了几种近似求解这些问题的算法。此外，我们提供了广泛的实验结果，并提供了现实世界中潜在的樱桃采摘的证据。
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.