Visibilidade no Facebook: Modelos, Medições e Implicações

Eduardo Hargreaves, D. Menasché, Giovanni Neglia, Claudio Agosti
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引用次数: 2

Abstract

Facebook news feed personalization algorithm has a significant impact, on a daily basis, on the lifestyle, mood and opinion of millions of Internet users. Nonetheless, such algorithms lack transparency challenging researchers to improve their fairness and accountability. In this paper, we propose a model to capture the dynamics of contents over a timeline (also known as news feed). The input to our model is a fundamental quantity associated to timelines, which we show that can be easily parameterized using real world data: the arrival rate of posts of a given publisher followed by the user. Using real world Facebook traces from the latest elections in Italy, we validate the accuracy of the proposed model and use the model for conterfactual what-if analysis.
Facebook上的能见度:模型、测量和影响
Facebook的新闻动态个性化算法每天都对数百万互联网用户的生活方式、情绪和观点产生重大影响。尽管如此,这种算法缺乏透明度,这给研究人员提高公平性和问责制带来了挑战。在本文中,我们提出了一个模型来捕获时间轴上的动态内容(也称为新闻提要)。我们模型的输入是一个与时间轴相关的基本量,我们表明,可以使用真实世界的数据轻松地将其参数化:给定发布者的帖子到达率,紧随其后的是用户。利用Facebook在意大利最新选举中的真实记录,我们验证了所提出模型的准确性,并将该模型用于反事实假设分析。
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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