谁的数据痕迹,谁的声音?在线参与的不平等及其对推荐系统研究的重要性

E. Hargittai
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引用次数: 2

摘要

由于研究依赖于人们在线行为的数据痕迹,因此退一步问一问:谁在使用这些痕迹出现的系统是很重要的?本次讲座将从数字不平等的角度讨论在线参与,展示在线行为的差异如何随社会人口特征和人们的互联网技能而变化。演讲分解了参与的各种必要步骤——在线参与的管道——并表明不同的因素解释了管道的不同部分,技能在所有阶段都很重要。利用几个数据集,演讲探讨了谁的痕迹最有可能出现在各种系统上,以及这对研究人员从分析数字痕迹数据中得出的潜在偏差意味着什么。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Whose data traces, whose voices? Inequality in online participation and why it matters for recommendation systems research
As research relies on data traces about people's online behavior, it is important to take a step back and ask: who uses the systems where these traces appear? This talk will discuss online participation from a digital-inequality perspective showing how differences in online behavior vary by socio-demographic characteristics as well as people's Internet skills. The presentation breaks down the various steps necessary for engagement - the pipeline of online participation - and shows that different factors explain different parts of the pipeline with skills mattering at all stages. Drawing on several data sets, the talk explores whose traces are most likely to show up on various systems and what this means for potential biases in what researchers draw from analyzing digital trace data.
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