The Information-Attention Tradeoff: Toward an Understanding of the Fundamentals of Online Attention

信息与注意力的权衡：了解在线注意力的基本原理

• 批准号: 2343858
• 负责人: Marta Serra-Garcia
• 金额: $ 39.99万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-15 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2343858&HistoricalAwards=false
• 关键词: Information; Attention; Tradeoff; Toward; Understanding

The internet and social media play a critical role as information sources for a large majority of US adults. However, online platforms are not just informative spaces. They are competitive arenas that pursue clicks and views, which could lead to the spread of inaccurate information. This research provides new evidence that contributes to an increasingly important policy debate: how can we harness the advantages of the digital era while mitigating its risks? By examining how digital content is crafted to captivate audiences and how users allocate their attention in such domains, this research enhances our understanding of the fundamentals of online attention. These insights are used to test various strategies to enhance the informational value of content without compromising its appeal. The resulting findings will provide insights into the impact of social media on information dissemination in society.This research advances the study of information transmission and human attention, by developing a new, scalable experimental paradigm that combines field and lab experimental data. This paradigm expands existing paradigms based on sender-receiver games, resulting in a new methodological approach to study online attention and information. The proposed research combines behavioral data with text analysis and machine learning techniques, to comprehensively assess the multifaceted effects of the interaction between suppliers and consumers of information. Using the experimental data, the project tests interventions and develops a theoretical framework to elucidate the mechanisms by which attention is captured and allocated, ultimately shaping the resulting information transmission.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

互联网和社交媒体作为大多数美国成年人的信息来源发挥着至关重要的作用。然而，在线平台不仅仅是信息空间。它们是追求点击量和浏览量的竞争场所，这可能会导致不准确信息的传播。这项研究提供了新的证据，有助于引发日益重要的政策辩论：我们如何利用数字时代的优势，同时降低其风险？通过研究如何制作数字内容来吸引受众以及用户如何在这些领域分配注意力，这项研究增强了我们对在线注意力基本原理的理解。这些见解用于测试各种策略，以在不影响内容吸引力的情况下增强内容的信息价值。由此产生的结果将深入了解社交媒体对社会信息传播的影响。这项研究通过开发一种结合现场和实验室实验数据的新的、可扩展的实验范式，推进了信息传输和人类注意力的研究。该范式扩展了基于发送者-接收者博弈的现有范式，从而产生了一种研究在线注意力和信息的新方法。该研究将行为数据与文本分析和机器学习技术相结合，全面评估信息供应商和消费者之间互动的多方面影响。该项目利用实验数据测试干预措施并开发一个理论框架来阐明捕获和分配注意力的机制，最终形成信息传输。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。