“Selfiecity: Exploring Photography and Self-Fashioning in Social Media” (co-author Lev Manovich), in David M. Berry and Michael Dieter, eds., Postdigital Aesthetics: Art, Computation and Design (London: Palgrave Macmillan, 2015), 109-122. ISBN 9781137437198.
NB: This is unedited working draft. Please refer to the book for the final published version of this chapter.
This chapter summarizes the methods and findings of the research project Selfiecity (2014).
User-generated visual media such as images and video shared on Instagram, YouTube, and Flickr open up fascinating opportunities for the study of digital visual culture and thinking about the postdigital. Since 2012, the research lab led by Lev Manovich (Software Studies Initiative, softwarestudies.com) has used computational and data visualization methods to analyze large numbers of Instagram photos. In our first project Phototrails, we analyzed and visualized 2.3 million Instagram photos shared by hundreds of thousands of people in 13 global cities.
Given that everybody is using the same Instagram app, with the same set of filters and image correction controls, and even the same image square size, and that users can learn from each other what kinds of subjects get most attention, how much variance between the cities do we find? Are networked apps such as Instagram creating a new universal visual language which erases local specifities? Does the ease of capturing, editing and sharing photos lead to more aesthetic diversity? Or does it, instead, lead to more repetition, uniformity and visual social mimicry, as food, cats, selfies, and other popular subjects drown everything else out?
In our project we wanted to show that no single interpetation of the selfie phenomenon is correct by itself. Instead, we wanted to reveal some of the inherent complexities of understanding the selfie – both as a product of the advancement of digital image making and online image sharing and a social phenomenon that can serve many functions (individual self-expression, communication, etc.).
By analyzing a large sample of selfies taken in specified geographical locations during the same time period, we argue that we can see beyond the individual agendas and outliers (such as the notorious celebrity selfies) and instead notice larger patterns, which sometimes contradict popular assumptions.
For example, considering all the media attention selfie has received since late 2013, it can easily be assumed that selfies must make up a significant part of images shared on Instagram. Paradoxically enough, our research revealed that only approximately four percent of all photographs posted on Instagram during one week were single person selfies.