News Thumbnail

News thumbnails, the small images accompanying news articles, are increasingly studied for their impact on user engagement and information consumption. Research focuses on improving the representativeness of thumbnails, using techniques like contrastive learning and multimodal models (e.g., CLIP) to better align image and text content, and incorporating this information into recommender systems to address news avoidance and personalize news feeds. These efforts aim to enhance the accuracy and effectiveness of news recommendation systems, combat the spread of misinformation through misleading thumbnails, and ultimately improve the user experience and information quality online.