Artificial intelligence is fueling the next phase of misinformation. The new type of synthetic media known as deepfakes poses major challenges for newsrooms when it comes to verification. This content is indeed difficult to track: Can you tell which of the images below is a fake?
(Check the bottom of this story for the answer.)
We at The Wall Street Journal are taking this threat seriously and have launched an internal deepfakes task force led by the Ethics & Standards and the Research & Development teams. This group, the WSJ Media Forensics Committee, is comprised of video, photo, visuals, research, platform, and news editors who have been trained in deepfake detection. Beyond this core effort, we're hosting training seminars with reporters, developing newsroom guides, and collaborating with academic institutions such as Cornell Tech to identify ways technology can be used to combat this problem.
"Raising awareness in the newsroom about the latest technology is critical," said Christine Glancey, a deputy editor on the Ethics & Standards team who spearheaded the forensics committee. "We don't know where future deepfakes might surface so we want all eyes watching out for disinformation."
Here's an overview for journalists of the insights we've gained and the practices we're using around deepfakes.