Using Crowdsourcing to Investigate Perception of Narrative Similarity

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    Abstract

    For many applications measuring the similarity between documents is essential. However, little is known about how users perceive similarity between documents. This paper presents the first large-scale empirical study that investigates perception of narrative similarity using crowdsourcing. As a dataset we use a large collection of Dutch folk narratives. We study the perception of narrative similarity by both experts and non-experts by analyzing their similarity ratings and motivations for these ratings. While experts focus mostly on the plot, characters and themes of narratives, non-experts also pay attention to dimensions such as genre and style. Our results show that a more nuanced view is needed of narrative similarity than captured by story types, a concept used by scholars to group similar folk narratives. We also evaluate to what extent unsupervised and supervised models correspond with how humans perceive narrative similarity.
    Original languageUndefined
    Title of host publicationProceedings of the 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages321-330
    Number of pages10
    ISBN (Print)978-1-4503-2598-1
    DOIs
    Publication statusPublished - 3 Nov 2014
    Event23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 - Shanghai, China
    Duration: 3 Nov 20147 Nov 2014
    Conference number: 23

    Publication series

    Name
    PublisherACM

    Conference

    Conference23rd ACM International Conference on Information and Knowledge Management, CIKM 2014
    Abbreviated titleCIKM
    CountryChina
    CityShanghai
    Period3/11/147/11/14

    Keywords

    • EWI-25498
    • similarity
    • narratives
    • METIS-309772
    • Crowdsourcing
    • IR-94057
    • folktales

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