in *Hue-Saturation-Value* color space that seems intuitive for humans, and measure mean and variance for saturation and hue. *Saturation* is defined as the difference in the intensities of the different light wavelengths that compose the color. Although hue is not interpretable, high saturation indicates vividness and chromatic purity which are more appealing to the human eye [@liu2016analyzing]. *Colorfulness* is measured as a difference against gray background [@san2009ranking]. *Naturalness* is a measure of the degree of correspondence between images and the human perception of reality [@san2009ranking]. In color reproduction, *naturalness* is measured from the mental recollection of the colors of familiar objects. Additionally, there is a tendency among vulnerable users to share sentimental quotes bearing negative emotions. We performed optical character recognition (OCR) with python-tesseract [^18] to extract text and their sentiment score. As illustrated in Table \[t-test\], vulnerable users tend to use less colorful (higher grayscale) profile as well as shared images to convey their negative feelings, and share images that are less natural (Figure \[self\_reported\]). With respect to the aesthetic quality of images (saturation, brightness, and hue), depressed users use images that are less appealing to the human eye. We employ independent t-test, while adopting Bonferroni Correction as a 