Authorship Attribution and Profiling

TopicLeading institutions, researchers & key papers

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.

Works

IDs:OpenAlex

How has Authorship Attribution and Profiling's publication output changed over time?

ScholarIQpublication output · 2013–2020

Output declined33% over the shown period — from 3 works in 2013 to 2 in 2020.

201320142020

What are the most-cited papers on Authorship Attribution and Profiling?

ScholarIQmost cited works

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Stephanie M. Ramones, Megha Agrawal, Achal Shah, Michał Kosiński, David Stillwell, Martin E. P. Seligman, Lyle Ungar

PLoS ONE. 20131,741 CitationsOPEN ACCESS

TIMSS 2011 User Guide for the International Database.

Pierre Foy, Alka Arora, Gabrielle M. Stanco

2013281 Citations

Developing Age and Gender Predictive Lexica over Social Media

Maarten Sap, Gregory Park, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michał Kosiński, Lyle Ungar, Hansen Andrew Schwartz

2014241 CitationsOPEN ACCESS

An Integrated Approach to Detect Media Bias in German News Articles

Timo Spinde, Felix Hamborg, Béla Gipp

202021 CitationsOPEN ACCESS

Automatic Categorization of ottoman Poems

Fazlı Can, Ethem F. Can, Pınar Duygulu Şahin, Mehmet Kalpaklı