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Mining the Blogosphere: Age, gender and the varieties of self-expression
Open accessAbstract
The growth of the blogosphere offers an unprecedented opportunity to study language and how people use it on a large scale. We present an analysis of over 140 million words of English text drawn from the blogosphere, exploring if and how age and gender affect writing style and topic. Our primary result is that a number of stylistic and content-based indicators are significantly affected by both age and gender, and that the main difference between older and younger bloggers, and between male and female bloggers, lies in the extent to which their discourse is outer- or inner-directed. In fact, the linguistic factors that increase in use with age are just those used more by males of any age, and conversely, those that decrease in use with age are those used more by females of any age.
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“Similar to our finding of 2000 topics (clusters of semantically-related words), Argamon et al. used factor analysis and identified 20 coherent components of word use to link gender and age, showing male components of language increase with age while female factors decrease [32].”
From Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013) · cites this paper as [32]
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Items 201–209 of 209
Březina, V. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316410899.010
Březina, V. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316410899.011
A New Term Representation Method for Gender and Age Prediction
Para, U., & Patel, M. S. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i5s.6633 · Cited by 1
Guillén, L. E. C., & González, Y. D. (2023) · CHAKIÑAN REVISTA DE CIENCIAS SOCIALES Y HUMANIDADES · doi:10.37135/chk.002.21.01
Dennis, R.-H., Hoelterhoff, M., & Cariola, L. A. (2024) · i-manager s Journal on Humanities & Social Sciences · doi:10.26634/jhss.4.1.20295
Hussain, R., Ma, Z., Khandelwal, R., Oltmanns, J. R., & Gupta, M. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1760246
“NLP and AI tools have been applied to understand identity (Argamon et al., 2007; Berger and Packard, 2022; Kwantes et al., 2016; Schwartz et al., 2013), emotion (De Bruyne et al., 2022; Eichstaedt et al., 2018; Sun et al., 2020), behavior (Curtis et al., 2018; Kjell et al., 2021; MacAvaney et al.,…”
MIA-Bench: Quantifying the Phase Transition of User Re-Identification from Sparse Social Media Text
Alsobeh, A., Alkurdi, R., & Darwish, O. (2026) · International Conference on Information and Communication Systems (ICICS) · doi:10.1145/3812734.3813426
Natural language processing of youth speech predicts psychopathology across adolescence
Antonacci, C., Uy, J., Kwan, K., Giampetruzzi, E., Jones, S., Pennebaker, J. W., & Gotlib, I. (2026) · Nature Mental Health · doi:10.1038/s44220-026-00683-9 · Cited by 1
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Metadata
- Authors
- Argamon, S., Koppel, M., Pennebaker, J. W., & Schler, J.
- Venue
- First Monday
- Publisher
- University of Illinois Libraries
- Published
- 2007-09-03
- ISSN
- 1396-0458 (ISSN-L)
- 1396-0466
- OpenAlex
- W2033444463
- Cited by
- 210
- References
- 0
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 10 · 2021: 7 · 2020: 8 · 2019: 13 · 2018: 35 · 2017: 26 · 2016: 25 · 2015: 13 · 2014: 15 · 2013: 19 · 2012: 12
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- First Monday (publishedVersion)
- First Monday (acceptedVersion)
- Touro Scholar (Touro College) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Authorship Attribution and Profiling
- Social Sciences › Linguistics and Language › Digital Communication and Language
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- blogosphere, blogging, age differences, gender differences, writing style, self-expression, blog content, corpus linguistics, English usage
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