Could Cambridge Analytica Have Delivered Donald Trump’s 2016 Presidential Victory? An Anthropologist’s Look at Big Data and Political Campaigning

Vito Laterza
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引用次数: 5

Abstract

I first provide some context about Cambridge Analytica’s (ca) activities, linking them to ca parent company, scl Group, which specialised in “public relations” campaigns around the world across multiple sectors (from politics to defence and development), with the explicit aim of behavioural change. I then analyse in more detail the claims made by mathematician and machine learning scholar David Sumpter, who dismisses the possibility that ca might have successfully deployed internet psychographics (e.g. online personality profiling) in the winning 2016 Trump presidential campaign in the US. I critique his arguments, pointing at the need to focus on the bigger picture and on the totality of ca methods, rather than analysing psychographics in isolation. This is followed by a section where I use ca whistleblower Christopher Wylie’s 2019 memoir to show the important role that in-depth qualitative research and methods akin ethnographic immersion might have played in building ca big data capabilities. I provide an angle on big data that sees it as complementary, rather than in opposition to, human insight that comes from qualitative immersion in the social realities targeted by ca. The concluding section discusses additional questions that should be explored to gain a deeper understanding of how big data is changing political campaigning, with an emphasis on the important contribution that anthropology can make to these crucial debates.
剑桥分析能帮特朗普赢得2016年总统大选吗?人类学家对大数据和政治竞选的看法
我首先提供了一些剑桥分析公司(Cambridge Analytica)活动的背景,将它们与其母公司scl Group联系起来。scl Group专门从事全球多个领域(从政治到国防和发展)的“公共关系”活动,其明确目标是改变行为。然后,我更详细地分析了数学家和机器学习学者大卫·桑普特(David Sumpter)提出的主张,他驳斥了在2016年特朗普赢得美国总统大选的竞选中,ca可能成功地利用了互联网心理学(例如在线性格分析)的可能性。我对他的论点提出了批评,指出需要关注更大的图景和ca方法的整体性,而不是孤立地分析心理学。在接下来的一节中,我使用了检举人克里斯托弗·怀利(Christopher Wylie) 2019年的回忆录,展示了深入的定性研究和类似人种学沉浸的方法在构建大数据能力方面可能发挥的重要作用。我提供了一个关于大数据的角度,认为它是互补的,而不是反对,人类洞察力来自于对ca所针对的社会现实的定性沉浸。结论部分讨论了应该探索的其他问题,以更深入地了解大数据如何改变政治竞选,重点是人类学可以为这些关键辩论做出的重要贡献。
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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