Computational Mechanisms of Online Attention Markets

在线注意力市场的计算机制

• 批准号: FT230100563
• 负责人: Prof Lexing Xie
• 金额: $ 76.71万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT230100563
• 关键词: Computational; Mechanisms; Online; Attention; Markets

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.

在过去的几十年里，互联网一直是信息和注意力的主要交换平台，但令人惊讶的是，人们对个人选择和集体关注是如何相互作用的知之甚少，更不用说不同的政党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和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获得影响力的应用程序得以实现。