Abstract
In this paper we present GeoPoetry, a location-based work of electronic literature that generates poetic language and dynamic soundtracks for road-trips that reflect the mood of people in the surrounding area. GeoPoetry takes recent nearby geotagged Twitter data and generates strings of combinatorial poetry from them using simple Markov-chain text generation. It also performs a sentiment analysis on the local Twitter traffic, which it uses to seed a playlist on Spotify, using a simple model of affect. The result is a sonic reflection of the social geography traversed by the user that responds to its situatedness in both space and time. GeoPoetry participates in a long tradition of public and locative artwork which has the potential to inspire exciting new works of interactive narrative.
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This sentiment is common within the popular media: https://www.buzzfeed.com/charliewarzel/a-honeypot-for-assholes-inside-twitters-10-year-failure-to-s?utm_term=.wmwA54LxB#.jjBj5KP6o.
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Rickman, J., Tanenbaum, T.J. (2016). GeoPoetry: Designing Location-Based Combinatorial Electronic Literature Soundtracks for Roadtrips. In: Nack, F., Gordon, A. (eds) Interactive Storytelling. ICIDS 2016. Lecture Notes in Computer Science(), vol 10045. Springer, Cham. https://doi.org/10.1007/978-3-319-48279-8_8
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