Big data as governmentality in international development: Digital traces, algorithms, and altered visibilities
研究大数据如何改变国际发展项目的可见性，通过肯尼亚疟疾追踪和印尼食品价格监测两个案例，分析数据可视化对问题呈现的影响。
Statistics have long shaped the field of visibility for the governance of development projects. The introduction of big data has altered the field of visibility. Employing Dean's “analytics of government” framework, we analyze two cases—malaria tracking in Kenya and monitoring of food prices in Indonesia. Our analysis shows that big data introduces a bias toward particular types of visualizations. What problems are being made visible through big data depends to some degree on how the underlying data is visualized and who is captured in the visualizations. It is also influenced by technical factors such as distance between mobile phone towers and the truth claims that gain legitimacy.