Image Persuasiveness

Image persuasiveness research investigates how visual elements in multimodal content, such as advertisements and social media posts, influence message reception and impact. Current research focuses on developing computational methods to automatically classify image persuasiveness and understand the interplay between visual and textual cues, often employing vision-language models and multimodal learning techniques. This work is significant for advancing our understanding of persuasion mechanisms in digital media and has implications for combating misinformation, improving advertising effectiveness, and enhancing social media literacy.