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Identifying User Demographic Traits Through Virtual-World Language Use

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Predicting Real World Behaviors from Virtual World Data

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

The paper presents approaches for identifying real-world demographic attributes based on language use in the virtual world. We apply features developed from the classic literature on sociolinguistics and sound symbolism to data collected from virtual-world chat and avatar naming to determine participants’ age and gender. We also examine participants’ use of avatar names across virtual worlds and how these names are employed to project a consistent identity across environments, which we call “traveling characteristics.”

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Acknowledgments

The authors acknowledge the Air Force Research Laboratory at Wright Patterson Air Force Base for sponsorship of this research under contract FA8650-10-C-7009.

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Correspondence to Aaron Lawson .

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Lawson, A., Murray, J. (2014). Identifying User Demographic Traits Through Virtual-World Language Use. In: Ahmad, M., Shen, C., Srivastava, J., Contractor, N. (eds) Predicting Real World Behaviors from Virtual World Data. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-07142-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-07142-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07141-1

  • Online ISBN: 978-3-319-07142-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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