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 …

Recent advances in Representation Learning and Adversarial Training seem to succeed in
removing unwanted features from the learned representation. We show that demographic …

Political advertisers have access to increasingly sophisticated microtargeting techniques.
One such technique is tailoring ads to the personality traits of citizens. Questions have been …

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 …

Psychological stress is threatening people's health. It is non-trivial to detect stress timely for
proactive care. With the popularity of social media, people are used to sharing their daily …

Automated personality prediction from social media is gaining increasing attention in natural
language processing and social sciences communities. However, due to high labeling costs …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Personality and demographics are important variables in social sciences, while in NLP they
can aid in interpretability and removal of societal biases. However, datasets with both …

Personality profiling has long been used in psychology to predict life outcomes. Recently,
automatic detection of personality traits from written messages has gained significant …