This was a final project for a “Civic Media, Surveillance, and Design” class that attempts to remove the stigma associated with the word “surveillance.”​

I started at the source of all mainstream surveillance: social media. It is where people from all walks of life go to share their personal photos, their thoughts, and even their whereabouts without feeling like they’re being “watched” in the traditional sense — even the commonly used term “Facebook stalking” holds little to no malicious connotation. I decided to go with Instagram, as it is far less used for verbal opinions (such as Facebook or Twitter) but still has an implicit opinion-centric purpose. Instagram users tend to post photos of positive or memorable experiences, often checking in via the Photo Map feature simultaneously.

The result was a tool that maps the paths of everyone who has “Instagrammed” at a certain location, creating a web that displays points of interest via intersecting clusters. Similar to the functionality of Amazon’s product recommendations, in which you are shown products purchased by other users who viewed the same item, Instagraph visually suggests possible points of interest using the GPS coordinates of the photostreams of users who were at that shared location.

The version of Processing this project was built in was deprecated, and as a result some of the functionality is no longer working. It is on my to-do list to redo this project on a more robust platform, but if you would like it expedited please send me an email!

To view the PDF of the poster I made to present this project, click here.