# Authorship Attribution and Profiling

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/authorship-attribution-and-profiling-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 130,034 |
| Description | This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12380 |
| Works | 28,991 |

## Topic researchers

Showing 12 of 20.

- [Christopher D. Manning](https://scholariq.org/researchers/christopher-d-manning/)
- [Martin E. P. Seligman](https://scholariq.org/researchers/martin-e-p-seligman/)
- [Martin A. Nowak](https://scholariq.org/researchers/martin-a-nowak/)
- [Paul Ekman](https://scholariq.org/researchers/paul-ekman/)
- [James W. Pennebaker](https://scholariq.org/researchers/james-w-pennebaker/)
- [Sendhil Mullainathan](https://scholariq.org/researchers/sendhil-mullainathan/)
- [Dawn Song](https://scholariq.org/researchers/dawn-song/)
- [Erik Cambria](https://scholariq.org/researchers/erik-cambria/)
- [Björn W. Schuller](https://scholariq.org/researchers/bjorn-w-schuller/)
- [Douglas Biber](https://scholariq.org/researchers/douglas-biber/)
- [Hinrich Schütze](https://scholariq.org/researchers/hinrich-schutze/)
- [Steven Pinker](https://scholariq.org/researchers/steven-pinker/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.