On Measuring Bias in Online Information - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue SIGMOD record Année : 2018

On Measuring Bias in Online Information

Résumé

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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Dates et versions

hal-01638069 , version 1 (19-11-2017)
hal-01638069 , version 2 (20-11-2017)

Identifiants

  • HAL Id : hal-01638069 , version 1

Citer

Evaggelia Pitoura, Panayiotis Tsaparas, Giorgos Flouris, Irini Fundulaki, Panagiotis Papadakos, et al.. On Measuring Bias in Online Information. SIGMOD record, 2018. ⟨hal-01638069v1⟩
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