Crowd sourcing—or the collection of information from a group of people—can lead to quick work and community benefits. Websites like Wikipedia and TripAdvisor employ the technology, and other uses, such as for traffic reduction, are in the works. But crowd-sourced information faces the risk of being inaccurate, and having experts weed out the right from the wrong defeats its purpose.
A new method from researchers at the University of Tel Aviv could improve crowd sourcing on a range of websites and devices. The database technology double-checks information from the public and detects problematic content. According to researchers, the tool could have a variety of online uses to save companies time and money. For Wikipedia, the program could fact-check articles and weed out inaccuracies. It could also remove offensive or inappropriate content in forums or on review sites.
Because crowd sourcing is now used on many major websites, from Amazon and Yelp to newspaper comment sections, quick ways to deal with bad content are desperately needed. It is nearly impossible for human moderators to look through all content.
"Every day, old information is updated and new information comes in,” said Professor Tova Milo of Tel Aviv University's Blavatnik School of Computer Science, in a statement “It's very difficult to maintain." Milo is the researcher behind the new program.
“The application can flag those parts of incoming information that seem questionable,” a statement from Milo reads, “ …and from there, the technology can send out automatic notices to moderators, alerting them of comments that should be taken down, facts that need to be checked, and places where more information is needed.”
The program’s efficacy was recently tested through a trivia game the 2011 International Conference on Data Engineering. During the game, participants answered questions about other players. After scoring answers, the crowd-sourcing program identified which questions had satisfactory answers and which required more information.
By relying on a program and using human input selectively, the program will cut costs for websites while improving content. "It's about knowing to ask the right people the right questions," said Milo.
The project was funded in part by a European Research Council (ERC) advanced research grant, given by the European Union.

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