Reading a Balanced Diet: Foraging in Information Communities

本项目探讨均衡信息饮食在信息过滤中的作用。信息过滤是对信息过载问题日益重要的回应。基于社区的信息过滤器是特别有益的，因为它们可以它们可以加强社区并识别社区的口味。这个项目的目标是研究让信息过滤器在可用主题之间平衡呈现给用户的信息所能实现的好处。该项目将探索人们如何获取丰富的信息，哪些界面最能支持均衡的信息饮食，以及有多少用户喜欢均衡的信息过滤器。结果将是信息接口，用户将根据他们对该主题的兴趣接收有关该主题的适当数量的信息。信息过滤器将了解哪些不同的信息源最适合哪些主题，并从最佳来源呈现文章。研究还将探讨平衡信息过滤对社区的影响。结果将是平衡的信息过滤器，通过确保社区成员之间信息饮食的充分重叠来加强社区。

This project explores the role of balanced information diets in information filtering. Information filtering is an increasingly important response to the problem of information overload. Community-based information filters are particularly beneficial because they can they can strengthen communities and recognize community tastes. The goal of this project is to investigate the benefits that can be realized by having the information filter balance the information presented to the user across the available topics. The project will explore how people forage in information abundance, what interfaces best support balanced information diets, and how much users like balanced information filters. The results will be interfaces to information through which users will receive the right amount of information on each topic, according to their interest in that topic. The information filter will learn which of the disparate sources of information are best for which topics, and present articles from the best sources. The research will also explore the effect of balanced information filtering on communities. The result will be balanced information filters that strengthen communities by ensuring sufficient overlap in information diets among community members.