Representation Online Matter

"Representation Online Matters" focuses on ensuring fair and inclusive representation of diverse groups within online systems, particularly in search and recommendation algorithms. Current research investigates how model architectures, such as transformers and attention mechanisms, can be adapted to improve diversity and mitigate biases in data representation, often employing techniques like end-to-end diversification and multi-objective optimization. This work is crucial for addressing societal biases embedded in large language models and improving the user experience across various online platforms, impacting both fairness and the effectiveness of these systems.