Quantitative Analysis of Visual Representation of Sign Elements in COVID-19 Context

Visual representation as a means of communication uses elements to build narrative. We propose using computer analysis perform quantitative the used in visual creations that have been produced reference epidemic, 927 images compiled from The Covid Art Museum's Instagram account. This process has carried out with techniques based on deep learning detect objects contained each study image. research reveals are repeated create narratives and relations association established sample. predominant discourses sample do not show concern for effects illness. On contrary, impact confinement, through prominent presence such human figures, windows, buildings, most expressed experiences analyzed.