  Despite the ubiquity and proliferation of images and videos in online news
environments, much of the existing research on misinformation and its
correction is solely focused on textual misinformation, and little is known
about how ordinary users evaluate fake or manipulated images and the most
effective ways to label and correct such falsities. We designed a visual
forensic label of image authenticity, Picture-O-Meter, and tested the label's
efficacy in relation to its source and placement in an experiment with 2440
participants. Our findings demonstrate that, despite human beings' general
inability to detect manipulated images on their own, image forensic labels are
an effective tool for counteracting visual misinformation.
