Feedback and education improve human detection of image manipulation on social media
Adnan Hoq, Matthew J. Facciani and Tim Weninger
This study investigates the impact of educational interventions and feedback on users’ ability to detect manipulated images on social media, addressing a gap in research that has primarily focused on algorithmic approaches. Through a pre-registered randomized and controlled experiment, we found that feedback and educational content significantly improved participants’ ability to detect manipulated images on social media.
Disagreement as a way to study misinformation and its effects
Damian Hodel and Jevin D. West
Experts consider misinformation a significant societal concern due to its associated problems like political polarization, erosion of trust, and public health challenges. However, these broad effects can occur independently of misinformation, illustrating a misalignment with the narrow focus of the prevailing misinformation concept.