站起来,被计算在内:利用交通摄像头实时评估投票行为

Bryce J. Dietrich, Hyein Ko, Payel Sen
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引用次数: 0

摘要

尽管交通摄像头网络无处不在,但很少有人将其用于社会科学研究。本研究利用 2015 年英国大选前从伦敦 768 个摄像头收集的 1,312,977 张图像,不仅展示了如何利用交通摄像头数据有效测量当天的投票率,还提供了利用此类数据更广泛地评估政治行为的方法。这种自动统计在一些国家尤为重要,因为在这些国家,只有当次大选才会公布官方结果,这就给那些有兴趣在较低的汇总水平上评估投票率的人带来了困难,即使这些大选就在日程表上的下一次。尽管我们不是第一个提出图像即数据的价值的人,但本研究希望强调视频即数据的重要性,同时为未来的研究奠定重要基础。
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Stand up and be counted: Using traffic cameras to assess voting behavior in real time
Despite their ubiquity, few have used traffic camera networks for social science research. Using 1,312,977 images collected from 768 London-based cameras leading up to the 2015 UK general election, this study not only demonstrates how traffic camera data can be used to effectively measure same-day turnout, but we also provide ways such data can be used to assess political behavior more broadly. Such automated enumeration is especially important in countries where official results are only returned for the current election, making it difficult for those interested in assessing turnout at lower levels of aggregation, even when those elections are next on the calendar. Although we are not the first to suggest the value of images-as-data, this study hopes to underline the importance of video-as-data, while simultaneously offering an important foundation for future research.
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