SIFT is an evaluation strategy developed by digital literacy expert Michael Caulfield (Washington State University Vancouver) to help you judge whether online content can be trusted for credible and reliable information. The SIFT strategy can be applied to various kinds of online content: social media posts, memes, statistics, videos, images, news articles, scholarly articles, etc. It builds on “checklist” approaches to evaluating online content.