Stylometric analysis of bloggers’ age and gender
Open accessAbstract
We report results of stylometric differences in blogging for gender and age group variation. The results are based on two mutually independent features. The first feature is the use of slang words which is a new concept proposed by us for Stylometric study of bloggers. Slang is a non-dictionary word that has evolved with time due to its frequent and popular usage. For the second feature, we have analysed the variation in average length of sentences across various age groups and gender. These two features are then augmented with previous study results reported in literature for stylometric analysis of age and gender. The combined feature list enhances the accuracy by a remarkable extent in predicting age and gender. These experiments were done on a 20,000 blog corpus. Experimental results show that these features work well in detection of bloggers’ demography. However, gender determination is more accurate than age group detection over a data spread across all ages but the accuracy of age prediction increases if we sample data with remarkable age difference.
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Slang words and message length can provide good information about the author of a text.
“In addition to the contentbased and style-based features, slang words and message length can also provide good information about the author of a text [129].”
From Online grooming detection: A comprehensive survey of child exploitation in chat logs (2023) · cites this paper as [129]
The Conclusion and Future Work section says slang use helps predict bloggers’ age and gender, and that average sentence length can slightly improve prediction when combined with slang. The paper studies sentence length, not message length, and its findings concern bloggers’ age and gender rather than information about authors of texts generally. (LLM, conf=0.88)
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Weber, R. (1990) · doi:10.4135/9781412983488 · Cited by 7,750 · see citing works
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Research works printed but not linked: 10
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- Burger, J. D., and Henderson, J. C. 2006 An Exploration of Observable Features Related to Blogger Age. Proceedings of the AAAI Spring Symposia on Computational Approaches to Analyzing Weblogs, 2006.
- Datta, S., Sarkar, S. 2008 A Comparative Study of Statistical Features of Language in Blogs-vs-Splogs, Proceedings of the second workshop on Analytics for noisy unstructured text data, Singapore, 63-66.
- McMenamin, G. R. 2002 Forensic Linguistics : Advances in Forensic Stylistic.: CRC Press
- Mishne, G. 2006 Information Access Challenges in the Blogspace, IIIA-2006 -International Workshop on Intelligent Information Access, 2006
- Nowson, S., and Oberlander, J. 2006. The identity of bloggers: Openness and gender in personal weblogs. AAAI Spring Symposium Series Computational Approaches to Analyzing Weblogs, 163-167.
- Pennebaker, J.W., & Stone, L.D. 2003. Words of wisdom: Language use over the lifespan. Journal of Personality and Social Psychology, 85, 291-301.
- Schler, J., Koppel, M., Argamon, S. and Pennebaker, J. 2006 Effects of Age and Gender on Blogging. Proceedings of the AAAI Spring Symposia on Computational Approaches to Analyzing Weblogs, 2006.
- Yan, R. 2006 Gender Classification of Weblog Authors with Bayesian Analysis. Proceedings of the AAAI Spring Symposia on Computational Approaches to Analyzing Weblogs, 2006.
- Yan, X., and Yan, L. 2006. Gender classification of weblog authors. AAAI Spring Symposium Series Computational Approaches to Analyzing Weblogs, 228- 230
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Hovy, D. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.3115/v1/p15-1073 · Cited by 148 · see citing works
Utilizing linguistically enhanced keystroke dynamics to predict typist cognition and demographics
Brizan, D. G., Goodkind, A., Koch, P., Balagani, K., Phoha, V. V., & Rosenberg, A. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2015.04.005 · Cited by 54 · see citing works
Online grooming detection: A comprehensive survey of child exploitation in chat logs
Borj, P. R., Raja, K., & Bours, P. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.110039 · Cited by 38 · see citing works
A Step Towards Detecting Online Grooming -- Identifying Adults Pretending to be Children
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- Authors
- Goswami, S., Sarkar, S., & Rustagi, M.
- Affiliations
- Indian Institute of Technology Kharagpur (IN)
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2009-03-20
- Volume
- 3
- Issue
- 1
- Pages
- 214-217
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W1541992550
- Cited by
- 140
- References
- 1
- Citations by year
- 2026: 3 · 2024: 2 · 2023: 2 · 2022: 6 · 2021: 5 · 2020: 9 · 2019: 11 · 2018: 12 · 2017: 13 · 2016: 21 · 2015: 16 · 2014: 12 · 2013: 12 · 2012: 2
- FWCI
- 3.75
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
- AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- stylometry, blog texts, age estimation, gender detection, slang vocabulary, sentence length
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