Computational Mechanisms of Online Attention Markets

在过去的几十年里，互联网一直是信息和注意力交流的主要渠道，但令人惊讶的是，人们对个人选择和集体注意力是如何相互作用的知之甚少，更不用说不同的各方如何影响或控制它了。该项目旨在揭示在线注意力市场中个人行为与集体趋势之间的数学基础，设计用于估计和影响注意力分配的计算方法，并使内容消费者、生产者、托管平台和监管机构在注意力市场中各自拥有影响力的应用程序成为可能。

The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.