This project is being offered through UC Berkeley's Undergraduate Research Apprentice Program (URAP). For the Fall 2020 semester, this project is seeking 6 students with experience analyzing data in Python and interest in using Amazon’s Cloud Computing tools like AWS Lambda. Eligible undergraduates may apply online August 19-31, 2020.
Students on this project will analyze data from a collaborative web app guiding thousands of internet volunteers to read through the most shared news articles of the day and label evidence of misinformation in the content. Working alongside a national coalition of social science researchers and journalists, a Nobel Laureate, cognitive scientists, and software designers/developers, students will test the robustness of the Public Editor system, fortify it against attacks by trolls, and implement gamification features to ensure volunteers enjoy their experience. Students will create (1) a Jupyter notebook performing validation studies on the system to ensure the accuracy and reliability of users' labels; (2) Red Team scenarios and solutions to those scenarios, and (3) a codebase for automatically updating users' badges, points, and leaderboard status based upon their activity data.
Public Editor is a collaborative news assessment platform that brings the public together to improve their own media literacy, evaluate the quality of information circulating on the Internet, and share their results with the broader public. The Public Editor project is now operated in partnership with Goodly Labs, a non-profit organization founded by former BIDS Research Fellow Nick Adams. He and BIDS Director Saul Perlmutter co-lead this project.