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Classification in the LdoD Archive: A Crowdsourcing and Gamification Approach

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Digital Libraries at Times of Massive Societal Transition (ICADL 2020)

Abstract

This article presents a solution developed on top of the LdoD Archive for the classification of fragments in the context of a virtual edition, through the use of a serious game strategy. Participants select a classification for a fragment after following a series of steps that require them to propose tags for fragments and then vote on other participants’ tags. The goal of the game is twofold: it can be used as a crowdsourced tool to classify texts from the Book of Disquiet, in the context of a virtual edition, and it functions as a collaborative learning tool for the reading and analysis of texts from the Book of Disquiet.

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Notes

  1. 1.

    https://github.com/socialsoftware/edition.

  2. 2.

    https://ldod.uc.pt/classification-game.

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Acknowledgement

This work was supported by national funds through Fundação para a Ciência e Tecnologia (FCT) with reference UIDB/50021/2020.

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Correspondence to António Rito Silva .

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Montalvão Marques, G., Rito Silva, A., Portela, M. (2020). Classification in the LdoD Archive: A Crowdsourcing and Gamification Approach. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_29

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  • DOI: https://doi.org/10.1007/978-3-030-64452-9_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64451-2

  • Online ISBN: 978-3-030-64452-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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