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International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation

SBP-BRiMS 2017: Social, Cultural, and Behavioral Modeling pp 349–355Cite as

Measuring Perceived Causal Relationships Between Narrative Events with a Crowdsourcing Application on Mturk

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10354))

Abstract

The computational study of narrative is important to multiple academic disciplines. However, prior research has been limited by the inability to quantify each subject’s comprehension of the causal structure. With the aid of big data technology and crowdsourcing tools, we aim to design a new approach to analyze the content of narratives in a data-driven manner, while also making these analyses scientifically replicable. The goal of this research is therefore to develop a method that can be used to measure people’s understanding of the causal relationships within a piece of text.

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Acknowledgment and Disclaimer

This work was supported in part by the National Institute of General Medical Sciences under grant number 5R01GM114771. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Authors and Affiliations

  1. Department of Engineering Management and Systems Engineering, The George Washington University, Washington, DC, 20052, USA

    Dian Hu & David A. Broniatowski

Authors
  1. Dian Hu
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  2. David A. Broniatowski
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Corresponding author

Correspondence to Dian Hu .

Editor information

Editors and Affiliations

  1. Penn State University, State College, Pennsylvania, USA

    Dongwon Lee

  2. University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Yu-Ru Lin

  3. University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Nathaniel Osgood

  4. United States Military Academy, West Point, New York, USA

    Robert Thomson

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© 2017 Springer International Publishing AG

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Hu, D., Broniatowski, D.A. (2017). Measuring Perceived Causal Relationships Between Narrative Events with a Crowdsourcing Application on Mturk. In: Lee, D., Lin, YR., Osgood, N., Thomson, R. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2017. Lecture Notes in Computer Science(), vol 10354. Springer, Cham. https://doi.org/10.1007/978-3-319-60240-0_43

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  • DOI: https://doi.org/10.1007/978-3-319-60240-0_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60239-4

  • Online ISBN: 978-3-319-60240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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