FACIALITY GRAPHS (2021) is an ongoing study of faciality — a theoretical systemic machine (comprised of signifiance and subjectivity) that creates the duality between established and deterratorialized language/media/images/faces. In the construction of this term coined by Deleuze and Guatarri, and expanded on by Peter Sloterdijk, the other is defined and constantly in relation to the extablished ‘order.’ A prime example is of the ubiquitous image of the European version of Jesus, or more plainly, the White Man.
In this series, I hope to reveal certain examples of the way faciality exists by collecting photos of certain figures or communities, and arrange their images into simple, yet revealing data visuals. The idea is to show how facial data can reveal certain realities in terms of discrimination and underrepresentation.
For example, in the piece seen above, I collected photos from two of the most common faiths in modernity: Christianity and Capital. In the Christianity map, I focused on the visage of Jesus, organizing them with the most frequently printed image of Jesus at the center, and radiating outwards in order of relative frequency as seen on google image search. Unsurprisingly, depictions of Jesus as a white european dominate the center portion of the graph.
Similarly, the Billionaires were organized by income level, with the richest in the center and radiating outward according to the Forbes’ list of the 500 richest people in the World in 2020. The thought was that by laying out certain data sets, it might reveal current coorelations between race and privilage. The Jesus figure showing the prevelance of a white European Jesus in media, and The Billionaires showing predominantly white representation in the upper echelons of capitalist society.
I hope to gain some funding in order to continue expanding on this project with larger data sets and employing live API’s.
Filed Under: 2021, Faciality, Data Visualization, Racism, Media Studies,
In this series, I hope to reveal certain examples of the way faciality exists by collecting photos of certain figures or communities, and arrange their images into simple, yet revealing data visuals. The idea is to show how facial data can reveal certain realities in terms of discrimination and underrepresentation.
For example, in the piece seen above, I collected photos from two of the most common faiths in modernity: Christianity and Capital. In the Christianity map, I focused on the visage of Jesus, organizing them with the most frequently printed image of Jesus at the center, and radiating outwards in order of relative frequency as seen on google image search. Unsurprisingly, depictions of Jesus as a white european dominate the center portion of the graph.
Similarly, the Billionaires were organized by income level, with the richest in the center and radiating outward according to the Forbes’ list of the 500 richest people in the World in 2020. The thought was that by laying out certain data sets, it might reveal current coorelations between race and privilage. The Jesus figure showing the prevelance of a white European Jesus in media, and The Billionaires showing predominantly white representation in the upper echelons of capitalist society.
I hope to gain some funding in order to continue expanding on this project with larger data sets and employing live API’s.
Filed Under: 2021, Faciality, Data Visualization, Racism, Media Studies,