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Automatically profiling the author of an anonymous text
Abstract
research-article Automatically profiling the author of an anonymous text Authors: Shlomo Argamon Illinois Institute of Technology Illinois Institute of TechnologyView Profile , Moshe Koppel Bar-Lian University Bar-Lian UniversityView Profile , James W. Pennebaker University of Texas, Austin University of Texas, AustinView Profile , Jonathan Schler Peer 39 Peer 39View Profile Authors Info & Claims Communications of the ACMVolume 52Issue 201 February 2009pp 119–123https://doi.org/10.1145/1461928.1461959Published:01 February 2009Publication History 202citation2,873DownloadsMetricsTotal Citations202Total Downloads2,873Last 12 Months232Last 6 weeks34 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
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“A combination of content-based and style-based features provides a good clue for gender and age detection [75].”
From Online grooming detection: A comprehensive survey of child exploitation in chat logs (2023) · cites this paper as [75]
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“positing that each author's unique style can be captured through quantifiable characteristics [Argamon et al., 2009].”
From Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges (2025) · cites this paper as Argamon et al., 2009
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Metadata
- Authors
- Argamon, S., Koppel, M., Pennebaker, J. W., & Schler, J.
- Affiliations
- Illinois Institute of Technology (US)
- Bar-Ilan University (IL)
- The University of Texas at Austin (US)
- Peer 39
- Venue
- Communications of the ACM
- Published
- 2009-02
- Volume
- 52
- Issue
- 2
- Pages
- 119-123
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W1984010941
- Cited by
- 376
- References
- 14
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 9 · 2023: 7 · 2022: 15 · 2021: 20 · 2020: 53 · 2019: 33 · 2018: 36 · 2017: 32 · 2016: 41 · 2015: 30 · 2014: 25 · 2013: 29 · 2012: 20
- FWCI
- 13.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Touro Scholar (Touro College) (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
- author profiling, anonymous texts, authorship attribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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