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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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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