References

• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2011The Filter Bubble: What the Internet Is Hiding from You4,429 cited
• 2018The science of fake news4,155 cited
• 2009Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use1,939 cited
• 2009Echo chamber: Rush Limbaugh and the conservative media establishment1,258 cited
• 2018The echo chamber is overstated: the moderating effect of political interest and diverse media1,054 cited
• 2017CSI1,038 cited
• 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
• 2008Discrimination-aware data mining676 cited
• 2016Should we worry about filter bubbles?541 cited
• 2017Algorithmic Bias in Autonomous Systems472 cited
• 2013Understanding the Complex Dynamics of Transparency429 cited
• 2017Are News Audiences Increasingly Fragmented? A Cross-National Comparative Analysis of Cross-Platform News Audience Fragmentation and Duplication399 cited
• 2017Measuring Fairness in Ranked Outputs378 cited
• 2011Fairness-aware Learning through Regularization Approach375 cited
• 2010