Fruitless Searches

Gary Smith, Jay Cordes
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Abstract

The Internet provides a firehose of data that researchers can use to understand and predict people’s behavior. However, unless A/B tests are used, these data are not from randomized controlled trials that allow us to rule out confounding influences. In addition, the people using the Internet in general, and social media in particular, are surely unrepresentative and their activities should be used cautiously for drawing conclusions about the general population. Things we read or see on the Internet are not necessarily true. Things we do on the Internet are not necessarily informative. An unrestrained scrutiny of searches, updates, tweets, hashtags, images, videos, or captions is certain to turn up an essentially unlimited number of phantom patterns that are entirely coincidental, and completely worthless.
毫无结果的搜索
互联网提供了大量的数据,研究人员可以利用这些数据来理解和预测人们的行为。然而,除非使用A/B测试,否则这些数据并非来自随机对照试验,因此我们无法排除混杂影响。此外,一般使用互联网的人,特别是社交媒体,肯定是不具代表性的,他们的活动应该谨慎使用,以得出关于一般人群的结论。我们在网上读到或看到的东西不一定是真的。我们在互联网上做的事情不一定能提供信息。对搜索、更新、推文、标签、图像、视频或标题的无限制审查,肯定会发现数量无限的幽灵模式,这些模式完全是巧合,完全没有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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