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GeoPoetry: Designing Location-Based Combinatorial Electronic Literature Soundtracks for Roadtrips

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Interactive Storytelling (ICIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10045))

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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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Notes

  1. 1.

    http://flask.pocoo.org/.

  2. 2.

     https://github.com/corydolphin/flask-cors.

  3. 3.

    https://github.com/ryanmcgrath/twython.

  4. 4.

    https://github.com/plamere/spotipy.

  5. 5.

    http://pytest.org/.

  6. 6.

    http://farmdev.com/projects/fudge/.

  7. 7.

    https://github.com/codebox/markov-text.

  8. 8.

    https://github.com/cjhutto/vaderSentiment.

  9. 9.

    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.

  10. 10.

    https://support.twitter.com/articles/119135.

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Correspondence to Theresa Jean Tanenbaum .

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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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  • DOI: https://doi.org/10.1007/978-3-319-48279-8_8

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