Spatiotemporal Selves on a Location-Based Social Network : A Postphenomenological Autoethnography of Snap Map

Sammanfattning: The location-based social network (LBSN) Snapchat allows millions of users to share their locations to others through Snap Map: a digital map that updates their position each time they open the app. While social science studies have explored sentiments, behaviors and norms among Snap Map users, there is limited research on this type of location-based social network in the field of human-computer interaction (HCI), indicating a need for expanding the understanding of the roles that this technology and its design play in shaping the experiences and interactions among users. To address this need, this dialogical study applied a mixed-methods approach consisting of autoethnography and semi-structured interviews with two co-participants over the course of five weeks. The outcomes were analyzed using concepts from postphenomenology, introducing the main stabilities being seen and seeing others that were leveraged to nuance how Snap Map impacts e.g. communication, agency and what it means to act. The postphenomenological findings where then discussed from the lens of the spatial self to unpack how Snap Map mediates identity and performance. This combination of methods and lenses applied to a social media platform is a novel and fruitful approach in HCI, that led to discussions on how the design of Snap Map leads to concepts such as spatiotemporal ambiguity and the nexus of selves, shaping users’ relations to each other, themselves and their identity.