On Measuring Bias in Online Information

被引：29

作者：

Pitoura, Evaggelia ^{[1
]}

Tsaparas, Panayiotis ^{[1
]}

Flouris, Giorgos ^{[2
]}

Fundulaki, Irini ^{[2
]}

Papadakos, Panagiotis ^{[2
]}

Abiteboul, Serge ^{[3
,4
]}

Weikum, Gerhard ^{[5
]}

机构：

[1] Univ Ioannina, Comp Sci & Engn Dept, Ioannina, Greece

[2] FORTH, Inst Comp Sci, Iraklion, Greece

[3] INRIA, Paris, France

[4] ENS, Paris, France

[5] Max Planck Inst Informat, Saarbrucken, Germany

来源：

SIGMOD RECORD | 2017年 / 46卷 / 04期

关键词：

D O I：

10.1145/3186549.3186553

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：16 / 21

页数：6