论在线信息的测量偏差

SIGMOD Rec. Pub Date : 2017-04-19 DOI:10.1145/3186549.3186553

E. Pitoura, Panayiotis Tsaparas, G. Flouris, I. Fundulaki, P. Papadakos, S. Abiteboul, G. Weikum

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引用次数: 46

摘要

在线信息中的偏见最近已成为一个紧迫的问题，搜索引擎、社交网络和推荐服务被指责表现出某种形式的偏见。在这篇远景论文中，我们提出了一种测量偏差的系统方法。为此，我们讨论了量化各种类型偏差的正式措施，我们概述了实现它们所需的系统组件，并强调了相关的研究挑战和开放问题。

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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On Measuring Bias in Online Information

Bias in online information has recently become a pressing issue, with search engines, social networks and recommendation services being accused of exhibiting some form of bias. In this vision paper, we make the case for a systematic approach towards measuring bias. To this end, we discuss formal measures for quantifying the various types of bias, we outline the system components necessary for realizing them, and we highlight the related research challenges and open problems.

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来源期刊

SIGMOD Rec.

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