  The popularity of media sharing platforms in recent decades has provided an
abundance of open source data that remains underutilized by heritage scholars.
By pairing geotagged internet photographs with machine learning and computer
vision algorithms, we build upon the current theoretical discourse of
anthropology associated with visuality and heritage tourism to identify travel
patterns across a known archaeological heritage circuit, and quantify visual
culture and experiences in Cuzco, Peru. Leveraging large-scale in-the-wild
tourist photos, our goals are to (1) understand how the intensification of
tourism intersects with heritage regulations and social media, aiding in the
articulation of travel patterns across Cuzco's heritage landscape; and to (2)
assess how aesthetic preferences and visuality become entangled with the
rapidly evolving expectations of tourists, whose travel narratives are curated
on social media and grounded in historic site representations.
