Luke ThorburnExperiments are the Best Kind of Transparency— Luke Thorburn, Jonathan Stray, Priyanjana BenganiJun 9Jun 9
Priyanjana BenganiWhat is Media Diversity and Do Recommender Systems Have It?— Priyanjana Bengani, Jonathan Stray, Luke ThorburnNov 13, 2023Nov 13, 2023
Luke ThorburnWhat’s the Difference Between Search and Recommendation?— Luke Thorburn, Jonathan Stray, Priyanjana BenganiOct 25, 20232Oct 25, 20232
Luke ThorburnMaking Amplification Measurable— Luke Thorburn, Jonathan Stray, Priyanjana BenganiMay 7, 2023May 7, 2023
Luke ThorburnWhen You Hear “Filter Bubble”, “Echo Chamber”, or “Rabbit Hole” — Think “Feedback Loop”— Luke Thorburn, Jonathan Stray, Priyanjana BenganiMar 30, 20231Mar 30, 20231
Luke ThorburnIs Optimizing for Engagement Changing Us?— Luke Thorburn, Jonathan Stray, Priyanjana BenganiOct 10, 2022Oct 10, 2022
Priyanjana BenganiA Menu of Recommender Transparency Options— Priyanjana Bengani, Jonathan Stray, Luke ThorburnAug 17, 2022Aug 17, 2022
Luke ThorburnHow to Measure the Causal Effects of RecommendersThe capabilities researchers need to understand how much societal harm is caused by recommender systems on social media.Jul 20, 20221Jul 20, 20221
Luke ThorburnWhat Will “Amplification” Mean in Court?— Luke Thorburn, Jonathan Stray, Priyanjana BenganiMay 23, 2022May 23, 2022
Priyanjana BenganiWhat’s Right and What’s Wrong with Optimizing for Engagement— Priyanjana Bengani, Jonathan Stray, Luke ThorburnApr 27, 2022Apr 27, 2022
