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Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments
6 references·1 citing·29 second hop
Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments (2022)Big Data, Small Personas: How Algorithms …Customer segmentation using online platforms: isolating behavioral and demographic segments for persona creation via aggregated user data (2018)Customer segmentation using o…Algorithmic Fairness (2018)Algorithmic FairnessFair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Diversity in Big Data: A Review (2017)Diversity in Big Data: A Revi…Algorithmic Bias (2016)Algorithmic BiasFairness through awareness (2012)Fairness through awarenessDiscovering customer segments through interaction behaviors for home appliance business (2025)Discovering customer segments…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)FA*IR (2017)An Overview of End-to-End Entity Resolution for Big Data (2020)Climate Change, Environmental Disasters, and Health Inequities: The Underlying Role of Structural Inequalities (2022)Equality of Opportunity in Supervised Learning (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Exposure to ideologically diverse news and opinion on Facebook (2015)A Nutritional Label for Rankings (2018)Indigenous Peoples' Rights in Data: a contribution toward Indigenous Research Sovereignty (2023)On the Data Quality and Imbalance in Machine Learning-based Design and Manufacturing—A Systematic Review (2024)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Market Segmentation: A Review (1987)The Process of Customer Engagement: A Conceptual Framework (2008)Key trends in business-to-business services marketing strategies: Developing a practice-based research agenda (2020)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Artificial Intelligence in Human Resources Management: Challenges and a Path Forward (2018)Evolution and impact of bias in human and machine learning algorithm interaction (2020)Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb (2021)The Quarterly Journal of Economics (2024)THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE (1996)What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.Com1 (2010)
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References

  • 2012Fairness through awareness3,501 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2016Algorithmic Bias334 cited
  • 2018Algorithmic Fairness278 cited
  • 2018Customer segmentation using online platforms: isolating behavioral and demographic segments for persona creation via aggregated user data164 cited
  • 2017Diversity in Big Data: A Review140 cited

Cited by

  • 2025Discovering customer segments through interaction behaviors for home appliance business14 cited

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