# Authorship Attribution and Profiling

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

## Facts

| Field | Value |
| --- | --- |
| 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 | t12380 |
| Works | 12 |

## Topic papers all

- [Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach](https://scholariq.org/papers/personality-gender-and-age-in-the-language-of-social-media-the-open-vocabulary/)
- [TIMSS 2011 User Guide for the International Database.](https://scholariq.org/papers/timss-2011-user-guide-for-the-international-database/)
- [Developing Age and Gender Predictive Lexica over Social Media](https://scholariq.org/papers/developing-age-and-gender-predictive-lexica-over-social-media/)
- [Local descriptors to improve off-line handwriting-based gender prediction](https://scholariq.org/papers/local-descriptors-to-improve-off-line-handwriting-based-gender-prediction/)
- [A machine learning approach to recognize bias and discrimination in job advertisements](https://scholariq.org/papers/a-machine-learning-approach-to-recognize-bias-and-discrimination-in-job/)
- [An Integrated Approach to Detect Media Bias in German News Articles](https://scholariq.org/papers/an-integrated-approach-to-detect-media-bias-in-german-news-articles/)
- [Detecting Artificial Intelligence–Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study](https://scholariq.org/papers/detecting-artificial-intelligence-generated-versus-human-written-medical-student/)
- [Automatic Categorization of ottoman Poems](https://scholariq.org/papers/automatic-categorization-of-ottoman-poems/)
- [Long-Term Literary E-Zine Stability: A Predictive Model](https://scholariq.org/papers/long-term-literary-e-zine-stability-a-predictive-model/)
- [Source Code Authorship Identification Using Tokenization and Boosting Algorithms](https://scholariq.org/papers/source-code-authorship-identification-using-tokenization-and-boosting-algorithms/)
- [Design and Development of Sindhi Text Based CAPTCHAs for Regional Websites](https://scholariq.org/papers/design-and-development-of-sindhi-text-based-captchas-for-regional-websites/)
- [Role-Based Resume Analysis Using Retrieval-Augmented Generation and Large Language Models](https://scholariq.org/papers/role-based-resume-analysis-using-retrieval-augmented-generation-and-large/)

## Topic primary papers

- [Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach](https://scholariq.org/papers/personality-gender-and-age-in-the-language-of-social-media-the-open-vocabulary/)
- [TIMSS 2011 User Guide for the International Database.](https://scholariq.org/papers/timss-2011-user-guide-for-the-international-database/)
- [Developing Age and Gender Predictive Lexica over Social Media](https://scholariq.org/papers/developing-age-and-gender-predictive-lexica-over-social-media/)
- [An Integrated Approach to Detect Media Bias in German News Articles](https://scholariq.org/papers/an-integrated-approach-to-detect-media-bias-in-german-news-articles/)
- [Automatic Categorization of ottoman Poems](https://scholariq.org/papers/automatic-categorization-of-ottoman-poems/)
- [Source Code Authorship Identification Using Tokenization and Boosting Algorithms](https://scholariq.org/papers/source-code-authorship-identification-using-tokenization-and-boosting-algorithms/)

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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.