Algorithmic Attention Rents in Big Tech Platforms - A Conversation
Offered By: Cambridge University Press via YouTube
Course Description
Overview
Explore a thought-provoking conversation featuring Tim O'Reilly, Mariana Mazzucato, and Ilan Strauss as they discuss their groundbreaking theory of algorithmic attention rents. Delve into how major tech platforms leverage their control over user attention to shape markets for their own benefit. Examine the advertising models that harvest, monetize, and resell attention, and consider the implications for other online business models. Learn about the authors' call for regulatory measures mandating disclosure of attention metrics and monetization details. Gain insights from this 57-minute discussion, hosted by Data & Policy journal editors Zeynep Engin and Jon Crowcroft, on the intersection of data science, governance, and the digital economy. Discover how platforms' growing capabilities enable them to extract rents from users and suppliers through algorithmic control over attention, and consider the broader implications for innovation, public value, and the future of the digital landscape.
Syllabus
In Conversation with Mariana Mazzucato, Tim O’Reilly and Ilan Strauss on Algorithmic Attention Rents
Taught by
Cambridge University Press
Related Courses
SAP Business Networks in a NutshellSAP Learning Challenges et enjeux de la mobilité 2.0
Institut Mines-Télécom via France Université Numerique The Digital Economy: Finance for Business Growth
The Open University via FutureLearn The Digital Economy: Success through Market Segmentation
The Open University via FutureLearn The Digital Economy: Selling Through Customer Insight
The Open University via FutureLearn