The Internet has become a critical part of the infrastructure supporting modern life. The high degree of openness and autonomy of information providers determines the access to a vast amount of information on the Internet. However, this makes the web vulnerable to inaccurate, misleading, or outdated information. The unnecessary and unusable content, which is referred to as “information waste,” takes up hardware resources and clutters the web. In this paper, we examine the phenomenon of web information waste by developing a taxonomy of it and analyzing its causes and effects. We then explore possible solutions and propose a classification approach using quantitative metrics for information waste detection.