The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

The Handbook is a unique work of reference to the leading ideas, debates, topics,
approaches and methodologies in forensic linguistics and language and the law. It …

In todays world, identity of human beings has expanded beyond the real world to the cyber
world. Virtual identity of millions of users is present at various web-based Social Networking …

Work on authorship attribution has traditionally focused on long texts. In this work, we tackle
the question of whether the author of a very short text can be successfully identified. We use …

This paper proposes demographic estimation algorithms for profiling Twitter users, based on
their tweets and community relationships. Many people post their opinions via social media …

Authorship Attribution (AA), the science of inferring an author for a given piece of text based
on its characteristics is a problem with a long history. In this paper, we study the problem of …

The goal of our work is inspired by the task of associating segments of text to their real
authors. In this work, we focus on analyzing the way humans judge different writing styles …

In this paper, a novel approach is presented for authorship identification in English and Urdu
text using the LDA model with n‐grams texts of authors and cosine similarity. The proposed …

Authorship attribution is the problem of identifying the most plausible author of an
anonymous text from a set of candidate authors. Researchers have investigated same-topic …

In the recent years, text-based digital forensic has evolved into a major research domain that
supports digital investigation. A piece of text can be a critical source of information that is …