Understanding the “Micro” in Micro-Targeting: An Analysis of Facebook Digital Advertising in the 2019 Federal Canadian Election

Colin J. Bennett, Jesse Gordon
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引用次数: 6

Abstract

In the aftermath of the scandals involving Facebook and Cambridge Analytica, there is now global attention to the nature of the "data-driven" election and the effects of political micro-targeting on campaigning practices and the integrity of our democratic systems. Political micro-targeting arguably serves to fragment political discourse, to accentuate “wedge issues”, to promote “filter bubbles” and leads to a transactional politics where localized claims and promises remain unchallenged. There are macro-consequences of micro-targeting. Still, we contend that the concept of political micro-targeting is vaguely used, poorly understood, and only sparsely studied outside the U.S. This paper analyzes the actual practice of micro-targeting in the 2019 Canadian federal election. The Canadian case holds some important lessons for other parliamentary, multi-party democracies. What does micro-targeting look like to the average voter in Canada? How “micro” is indeed the micro-targeting? The literature tends to assume that political micro-targeting requires a precisely segmented audience, a specific location, and, most importantly a focussed policy message. If so, then how much political micro-targeting actually occurs in Canadian elections? We analyzed a sample of ads (from the Facebook ad library) delivered on two critical dates during the 2019 federal election. We found that only a small minority (7%) met these criteria. Most ads critically lacked precision on one, or two, of these critical variables. Although we did not find widespread use of insidious ad variation witnessed in U.S. elections, we did find visible examples of A/B testing, in which the font, image, or iteration of a certain message shifted from ad to ad. However, to the extent that claims about policies or issues were made, they were generally pitched at a relatively abstract policy level. There is a confusion, therefore, between the obscure micro-targeting processes used by Facebook and the visible manifestation of the ads to the average voter. Although the Facebook political ad library provides access to unprecedented levels of information about political digital advertising in Canada, it is still very difficult to determine why people were selected to receive the advertisements that they did. Our findings suggest a more nuanced understanding of the practice, as well as a higher level of transparency, not only for the social media platforms but also for the data analytics performed through the political parties' voter relationship management systems. Ultimately, we need a more refined, and nuanced, understanding of the different levels of micro-targeting experienced in Canadian elections. Not all micro-targeting carries the same precision. And not all raise the same concerns about electoral manipulation and propaganda.
理解微目标中的“微”:对2019年加拿大联邦大选中Facebook数字广告的分析
在涉及Facebook和剑桥分析公司(Cambridge Analytica)的丑闻之后,现在全球都在关注“数据驱动”选举的性质,以及政治微观目标对竞选活动和我们民主制度完整性的影响。可以说,政治上的微观目标会使政治话语支离破碎,加剧“楔子问题”,助长“过滤泡沫”,并导致一种交易性政治,在这种政治中,局部的主张和承诺仍然不受挑战。微观目标有宏观后果。尽管如此,我们认为政治微观目标的概念使用模糊,理解不足,并且在美国以外的研究很少。本文分析了2019年加拿大联邦选举中微观目标的实际实践。加拿大的案例为其他议会、多党民主国家提供了一些重要的教训。对于加拿大的普通选民来说,微目标是什么样子的?“微”到底有多“微”?文献倾向于假设政治微观目标需要精确细分的受众,特定的位置,最重要的是集中的政策信息。如果是这样,那么在加拿大选举中究竟有多少政治微目标?我们分析了2019年联邦大选期间两个关键日期投放的广告样本(来自Facebook广告库)。我们发现只有一小部分(7%)符合这些标准。大多数广告在一个或两个关键变量上缺乏精确度。虽然我们没有发现在美国大选中广泛使用恶意广告变体,但我们确实发现了A/B测试的明显例子,其中字体,图像或特定信息的迭代从广告转移到广告。然而,就政策或问题的主张而言,它们通常是在相对抽象的政策层面上提出的。因此,Facebook使用的模糊的微目标定位过程与普通选民看到的广告之间存在混淆。尽管Facebook政治广告库提供了前所未有的关于加拿大政治数字广告的信息,但仍然很难确定为什么人们被选中接收他们所做的广告。我们的研究结果表明,不仅对社交媒体平台,而且对通过政党的选民关系管理系统进行的数据分析,对这种做法有了更细致入微的理解,以及更高水平的透明度。最终,我们需要更精细、更细致地理解加拿大选举中不同程度的微目标。并非所有的微目标都具有相同的精度。并不是所有人都对选举操纵和宣传提出同样的担忧。
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