Big Local News
A Stanford Journalism and Democracy Initiative (JDI) team of faculty, students and researchers led by computational journalist Cheryl Phillips will collect, process and share governmental data that are hard to obtain and difficult to analyze; partner with local and national newsrooms on investigative projects across a range of topics; and make it easy to teach best practices for finding stories within the data.
Big Local News builds upon the Stanford Open Policing Project, which obtained records of more than 130 million police traffic stops through public records requests to state agencies in every state. The information collected from 31 states resulted in local accountability stories in Denver, Boston, Washington state, Colorado, Ohio, and other cities and states. Now, Big Local News has hired three data journalists who are working with Stanford students, newsrooms and other universities to collect and analyze local data that lends itself to accountability journalism on a variety of topics, including criminal justice, housing, health and education.
JSK Impact Partnerships
The JSK Impact Partnerships, an initiative of the John S. Knight Journalism Fellowships at Stanford, leverages JSK’s connections, vast alumni network, and access to one of the world’s premier universities to accelerate progress in the journalism industry and improve the quality of news and information reaching the public. The work of the JSK Impact Partnerships is based on JSK’s four call-to-action themes: challenging misinformation and disinformation; holding the powerful accountable; fighting bias, intolerance and injustice; and strengthening local news.
Through its Impact Partnerships, JSK offers a range of support to efforts that advance the themes: financial assistance, leadership coaching, project advising and relationship building. The partnership operates in parallel with the JSK Journalism Fellowships, which each year brings up to 20 diverse leaders to Stanford to work on the most urgent problems in journalism.
Trust and Verify
Trust and Verify will help news organizations and individual journalists defend against technology enabling deceptive videos and photos. Brown Institute researchers at the Stanford School of Engineering, led by Computer Science Professor Maneesh Agrawala, will develop tools and software to make news production more transparent by allowing journalists to show the provenance of their raw videos or photos and all subsequent editing steps. A future step will be the development of a customized camera to ensure that a video or photo’s provenance can be shown from the point of capture.
Computational expertise from across Stanford can participate in a JDI Bridges program to work on journalism challenges involving reporting, storytelling, and distribution and consumption of news. The program will develop related courses spanning the university’s academic departments and organize workshops, meetings, and international conferences. It builds on the Computation + Journalism Symposium that Professor Jay Hamilton, Director of the Stanford Journalism Program, co-founded with Maneesh Agrawala in 2016.