RJI Futures Lab update #129

Verifying photos automatically and rethinking audio news on the Web

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PART 1: Verified Pixel Project

It can be difficult and time-consuming to verify that user-submitted photos really do show what they purport to show, especially during fast-moving news stories. So the Verified Pixel Project aims to speed the process with an automated tool that scans image files looking for clues. Project Lead Samaruddin Stewart shows us what the tool can uncover.
Reporting by Adam Pressler, Reuben Stern and Rachel Wise.

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Additional information:

An eventual goal of the project is to integrate the photo verification tool into regular newsroom workflows, but human editors will still be needed to interpret the information generated and decide whether to use a submitted image. More details about the background of the project can be found in this post from project partner Sourcefabric, a developer of open-source media tools.

Tineye reverse image search is used within the Verified Pixel Project. Tineye enables a user to search the Web history of an online photo by copying the URL of the picture into a custom search.

PART 2: Online audio at WBUR

Boston-based NPR-affiliate WBUR is building a new website designed to update the experience of audio news via the Web and to better integrate the station's programming across platforms. Tiffany Campbell, WBUR executive editor for digital, gives us a peek at the new site and explains the changes.
Reporting by Daniel Shapiro.

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Learn more

Too busy to watch it now? Keep up with journalism innovation on the go with the Futures Lab iPad app. Futures Lab video updates appear weekly with reports on the latest in innovation and entrepreneurship for the newsroom leaders of today and tomorrow.

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