# On Measuring Bias in Online Information

## TL;DR

This paper advocates for a systematic approach to quantify bias in online information sources, discussing formal measures, system components, and research challenges to address bias in search engines, social networks, and recommendations.

## Contribution

It introduces formal measures for bias quantification and outlines the system components and research challenges for systematic bias measurement in online information.

## Key findings

- Proposes formal measures for bias quantification
- Identifies system components needed for bias measurement
- Highlights open problems and research challenges

## 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.