News article by Irene Jay Liu.
Published on the Google Blog.
Journalists and fact-checkers face huge challenges in sorting accurate information from fast-spreading misinformation. But it’s not just about the words we read. Viral images and memes flood our feeds and chats, and often they’re out-of-context or fake. In Asia, where there are eight times more social media users than in North America, these issues are magnified.
There are existing tools that Asian journalists can use to discover the origins and trustworthiness of news images, but they’re relatively old, inconsistent and for the most part only available on desktop. That’s a barrier for fact-checkers and journalists in countries where most people connect to the internet on their mobile.
For the past two years, the Google News Initiative has worked with journalists to identify manipulated images using technology. At the 2018 Trusted Media Summit in Singapore, a group of experts from Google, Storyful and the broader news industry joined a design sprint to develop a new tool, taking advantage of artificial intelligence and optimized for mobile. With support from the Google News Initiative, the GNI Cloud Program and volunteer Google engineers, the resulting prototype has now been developed into an app called Source, powered by Storyful.
With the app now being used by journalists around the region, we asked Eamonn Kennedy, Storyful’s Chief Product Officer, to tell us a bit more. [ . . . ]