Build neural network models to identify and correct news headlines exaggerating obesity-related scientific findings

Abstract

Media exaggerations of health research may confuse readers’ understanding, erode public trust in science and medicine, and cause disease mismanagement. This study built artificial intelligence (AI) models to automatically identify and correct news headlines exaggerating obesity-related research findings.

Keywords

• artificial intelligence
• deep neural networks
• news
• headlines
• exaggeration
• obesity