Crowdsourcing — obtaining data, information, or ideas from a group of people — can quickly bring up vast quantities of information that might otherwise be unavailable. In the wake of the Boston Marathon bombings, crowdsourced mobile videos and photos added to the available footage. It was an iPhone photo that provided the clearest image of one of the suspects.

Yet Boston also showed the drawbacks to relying on crowdsourced information without verification: innocent men were falsely identified as suspects in the days after the bombing.

But crowdsourcing isn’t going anywhere anytime soon and people will continue to speculate and investigate when news breaks. So it is absolutely crucial that journalists figure out when and to what ends crowdsourcing is appropriate.

Good journalistic crowdsourcing takes into consideration the validity, quality, and ownership of the data journalists are accessing. When used effectively, it is a unique way to engage audiences and gather information that paints a more comprehensive picture of what’s going on in the world.

For instance, WYNC’s data team paired up with NPR’s Radiolab to build the Cicada Tracker, a project that uses DIY soil monitors to predict the re-emergence of 17-year cicada swarms. The monitors are placed eight inches into the ground, where they track changes in soil temperature. The cicadas will start to emerge from the ground when the readings remain constant at 64°F.

“What we wanted to know was, ‘Can we distribute simple sensors and little micro controllers to a bunch of people who will participate and then share the data, report back to us?’” asked John Keefe, senior editor of data news at WNYC. “And we’re showing that you can.” There are currently 125 soil monitors on WNYC’s interactive map, and Keefe’s team has sifted through more than 600 sensor readings sent in from participants along the Eastern seaboard:



“It’s just a good prototype to show what kinds of things might be possible, that we could collect data that maybe isn’t being collected, or is being collected, but not available to us,” Keefe said.

“What if it were something more crucial, like maybe it’s noise pollution, or air pollution, or some sort of chemical in the air, or radiation even?”

The New York Civil Liberties Union believes it’s tracking crucial information and has had success with its Stop and Frisk Watch app. It launched on June 6 of last year. As of mid-February, the app had more than 30,000 downloads, and it’s been downloaded since over 30,000 times.

The app gives users a way to document their stop and frisk experiences by taking short videos on their phones which are then sent automatically to the team at NYCLU. When the filming stops, users immediately receive a brief survey that asks them for additional information on the incident, but this is optional. NYCLU’s director of communications, Jennifer Carnig, said that there ways that journalists could capitalize on this widespread mobile technology in a similar way.

“When everyone has a video camera with them at all times, the potential is limitless,” she said. “But there is clearly a downside to that, because when everybody is submitting stuff, it is hard to know in realtime what is valid; there is the potential for mistruths to be out there.”

With so much data available it is important to think about what “checks and balances,” might be used to ensure that it is presented as accurately as possible, said Carnig.

Katie Akagi and Stephanie Linning are students at the Columbia University Graduate School of Journalism.
Akagi, a former high-school teacher, holds a B.A. in feminist studies and can be contacted at katie.akagi@gmail.com.
A recent drama graduate of the University of Bristol in England, Linning can be reached at sjlinning@gmail.com or @stephlinning.