Scientists collected nearly 54,000 photos from the Instagram accounts of 90 food influencers, then used machine learning to study everything about them.
To find out how food styling affects social media engagement, researchers collected nearly 54,000 photos from the Instagram accounts of 90 food influencers, then used machine learning to study everything from their color and brightness to their complexity and repetition in the images. They also measured the average calorie density of the foods pictured. Then, the researchers analyzed how much engagement each photo had generated online.
In contrast, photos with more compositional complexity, in which visual elements clustered in a particular segment of the photo, generated less engagement. Images that were brighter and more colorful than average also got fewer likes and comments.
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