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oaioai:pure.mpg.de:item_2564708

On Measuring Bias in Online Information

Authors
Publication date
1 January 2017
Publisher
'Association for Computing Machinery (ACM)'
Doi

    Abstract

    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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    oaioai:pure.mpg.de:item_2564708
    Last time updated on 15/06/2019

    This paper was published in MPG.PuRe.

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