This project is an open-source project sponsored by the University of Washington’s Center for an Informed Public.
The original concept was developed by University of Washington iSchool alumni, Team Visionaries (Judi Wong, Jazymnn Combes-Troyer, Saasha Mor, & Joseph Altamira).
The SIFT Method was created by Michael Caufield. He was an early believer in the idea of civic digital literacies and is actively working toward it.
The project is inspired by his work on Sifting Through the Pandemic.
You can find more about his work here and follow the Infodemic Twitter to see daily examples of applying the SIFT method.
3. Users can explore more about the news topic on different media sources across the Internet. Once ReSIFT users feel confident about the legitmacy of the news article, they can share directly with thier social networks!
2. In a few seconds, ReSIFT processes the article and presents useful information about the media source and article!
1. ReSIFT users start by entering in a news article of their choice in the search bar.
This project was developed at the University of Washington Information School as a Capstone Project from Winter 2021 to Spring 2022 by Team Mesa (Andrew Wong, Daniel Miau, Kayvon Tari, Tom Nguyen).
Our team is keeping the project open-source in the foreseeable future as our team members graduate and move on from the University of Washington. We are willing to support future project teams that pick up the ReSIFT project, the transition becoming effective 9/1/2022.
Please contact Daniel Miau at danielmiau1@gmail.com for related inquiries about ReSIFT.