English

On Measuring Bias in Online Information

Databases 2017-10-04 v2 Computers and Society

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.

Keywords

Cite

@article{arxiv.1704.05730,
  title  = {On Measuring Bias in Online Information},
  author = {Evaggelia Pitoura and Panayiotis Tsaparas and Giorgos Flouris and Irini Fundulaki and Panagiotis Papadakos and Serge Abiteboul and Gerhard Weikum},
  journal= {arXiv preprint arXiv:1704.05730},
  year   = {2017}
}

Comments

6 pages, 1 figure

R2 v1 2026-06-22T19:21:23.939Z