TechCrunch

Most marketers believe there's a lot of value in having relevant, engaging images featured in content. But selecting the "right" images for blog posts, social media posts or video thumbnails has historically been a subjective process. Social media and SEO gurus have a slew of advice on picking the right images, but this advice typically lacks real empirical data. This got me thinking: Is there a data-driven -- or even better, an AI-driven -- process for gaining deeper insight into which images are more likely to perform well (aka more likely to garner human attention and sharing behavior)? In July of 2019, a fascinating new machine learning paper called "Intrinsic Image Popularity Assessment" was published.