AI

Regressor-Guided Image Editing Shifts Emotion and Disengagement Timing in Social Media

Researchers have developed a method to edit images in a way that reduces the emotional impact they have on viewers. They used three different approaches to modify images and found that only one of them was effective in making images less emotionally charged without reducing their quality. In a study, users who viewed edited images left social media feeds earlier than those who saw unedited images.
Researchers have developed a method to edit images in a way that reduces the emotional impact they have on viewers. They used three different approaches to modify images and found that only one of them was effective in making images less emotionally charged without reducing their quality. In a study, users who viewed edited images left social media feeds earlier than those who saw unedited images. --- Why it matters: This work matters because it shows a potential way to reduce online overuse by modifying the emotional impact of images. This could be useful for developing interventions that encourage healthier social media use without being too restrictive or intrusive. Source: https://arxiv.org/abs/2501.12289

This article was originally published at: https://arxiv.org/abs/2501.12289