Transparent Journalism

Tides Center

Date Awarded
Grant Period
03/10/08 to 07/31/10
Focus Areas
Journalism, Media Innovation
Knight News Challenge

Grantee Contact

Featured Media

To help search engines better distinguish between well-reported journalism and everything else on the Internet

With the copious amounts of information – and misinformation – on the Internet, the public needs more help finding fair, accurate and contextual news. This project will create a system to do just that. The plan: to design a way for content creators to add information on their sources to their reports, as a form of “source tagging.” For instance, a reporter could note that an article was based on personal observations, interviews with eyewitnesses or specific, original documents. Filters would then use this data - the “story behind the story” - to help find high-quality articles. A reader searching the phrase “Pakistan riots” for example, might find 9,000 articles. But filtering by “eyewitness accounts” would yield a more selective list. Berners-Lee, Moore and the Web Science Research Initiative are working with the BBC and Reuters on how to best integrate the tagging into journalists’ normal workflow.

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Project Team

Carla Dartis

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