Skewed perspectives: examining the influence of engagement maximization on content diversity in social media feeds

This article investigates the information landscape shaped by curation algorithms that seek to maximize user engagement. Leveraging unique behavioral data, we trained machine learning models to predict user engagement with tweets. Our study reveals how the pursuit of engagement maximization skews co...

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Bibliographic Details

Published in:	Journal of computational social science Vol. 7; no. 1; pp. 721 - 739
Main Author:	Bouchaud, Paul
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.04.2024
Subjects:	Big Data/Analytics Complex Systems Computational Linguistics Research Article Simulation and Modeling Social Media Social Sciences Algorithm audit User models Engagement maximization Social media Diversity
ISSN:	2432-2717, 2432-2725
Online Access:	Get full text
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