The analysis of authorial style, termed stylometry, assumes that style is quantifiably
measurable for evaluation of distinctive qualities. Stylometry research has yielded several …

To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

This overview presents the framework and the results of the Author Profiling task at PAN
2017. The objective of this year is to address gender and language variety identification. For …

In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …

We overview the framework and the results for the Author Profiling Shared Task organised at
PAN 2015. This year's task aims at identifying age, gender, and personality traits of Twitter …

The paper gives a brief overview of the three shared tasks organized at the PAN 2021 lab on
digital text forensics and stylometry hosted at the CLEF conference. The tasks include …

This overview presents the framework and the results of the Author Profiling task at PAN
2016. The objective was to predict age and gender from a cross-genre perspective. For this …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

This overview presents the framework and the results of the Author Profiling shared task at
PAN 2018. The objective of this year's task is to address gender identification from a …

The use of irony and sarcasm has been proven to be a pervasive phenomenon in social
media posing a challenge to sentiment analysis systems. Such devices, in fact, can …