Author identification attempts to reveal the authors behind texts. It is an emerging area of
research associated with applications in literary research, cyber-security, forensics, and …

With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …

Identification of anonymous identical users of cross-platforms refers to the recognition of the
accounts belonging to the same individual among multiple Social Network (SN) platforms …

The PAN 2017 shared tasks on digital text forensics were held in conjunction with the
annual CLEF conference. This paper gives a high-level overview of each of the three shared …

The authorship of questioned documents often constitutes important evidence in criminal
and civil cases. Linguistic stylistic analysis can often help to determine authorship …

Several authorship analysis tasks require the decomposition of a multiauthored text into its
authorial components. In this regard two basic prerequisites need to be addressed:(1) style …

Natural Language Processing (NLP) research has traditionally been predominantly focused
on English, driven by the availability of resources, the size of the research community, and …

PAN 2018 explores several authorship analysis tasks enabling a systematic comparison of
competitive approaches and advancing research in digital text forensics. More specifically …

This paper presents an overview of the PAN/CLEF evaluation lab. During the last decade,
PAN has been established as the main forum of digital text forensic research. PAN 2016 …

The analysis of the writing style of multi-authored texts aims at identifying those places
where authorship changes in a document. This task is an important step in reliably …