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Crowdsourcing for Film-Induced Tourism: An Approach to Geolocation

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Digital Libraries and Archives (IRCDL 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 733))

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Abstract

This paper presents an initial proposal for the development of a crowdsourcing platform aimed at gathering information about audiovisual productions. Our goal is to foster the task of identifying movie excerpts that are filmed in a given location and of manually geolocating these excerpts. In this way it is possible to link audiovisual content to a geographical area. The information is used to populate a database system that is the core component for designing novel film-induced tourism offers. The task of identifying the locations of movies, TV and web series, spots and music videos is carried out by a community of non experts, using a crowdsourcing approach where participation and engagement are promoted by a reputation mechanism. The paper presents a multilevel approach to geolocation and discusses its motivations and initial results.

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Notes

  1. 1.

    http://www.mturk.com.

  2. 2.

    http://crowdflower.com.

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Acknowledgements

The research project presented in this paper is funded by the European Social Fund (FSE projects, Veneto Region). We thank our colleagues Farah Polato, Giulia Lavarone of the Department of Cultural Heritage and Sandro Savino of the Department of Information Engineering, both at the University of Padua.

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Authors and Affiliations

  1. Department of Cultural Heritage, University of Padua, Piazza Capitaniato, 7, 35139, Padua, Italy

    Daniel Zilio, Andrea Micheletti & Nicola Orio

Authors
  1. Daniel Zilio
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  2. Andrea Micheletti
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  3. Nicola Orio
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Corresponding author

Correspondence to Andrea Micheletti .

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Editors and Affiliations

  1. University of Modena and Reggio Emilia, Modena, Italy

    Costantino Grana

  2. University of Modena and Reggio Emilia, Modena, Italy

    Lorenzo Baraldi

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Zilio, D., Micheletti, A., Orio, N. (2017). Crowdsourcing for Film-Induced Tourism: An Approach to Geolocation. In: Grana, C., Baraldi, L. (eds) Digital Libraries and Archives. IRCDL 2017. Communications in Computer and Information Science, vol 733. Springer, Cham. https://doi.org/10.1007/978-3-319-68130-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-68130-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68129-0

  • Online ISBN: 978-3-319-68130-6

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