Abstract With the use of machine learning and other advances, modern information search systems make it easy for searchers to access information to meet their most frequent information needs. Building from Kuhlthau’s concepts of exploration and differentiating, this article argues that along with the benefits of greater accessibility, these advances impede the development of information literacy, conceptualized as processes for planning, accessing, judging and communicating information. It is argued that information literacy emerges during interaction with search systems and modern system designs hide or render unworkable the contextual information needed for the judgment processes of information literacy. In response to these concerns, the article contributes desiderata for new designs that facilitate the discovery, navigation and use of context information.

中文翻译：

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机器学习时代的信息素养：机器学习的欲望

摘要随着机器学习和其他先进技术的应用，现代信息搜索系统使搜索者可以轻松地访问信息，以满足其最频繁的信息需求。本文基于库尔索的探索和差异化概念构建，认为随着可访问性的增加，这些进步也阻碍了信息素养的发展，信息素养被概念化为计划，访问，判断和交流信息的过程。有人认为，信息素养是在与搜索系统交互过程中出现的，现代系统设计隐藏或使信息素养的判断过程所需的上下文信息无法工作。针对这些问题，本文为促进发现的新设计做出了贡献，