[Elsnet-list] CFP: Special Issue of Language Resources and Evaluation on Plagiarism and Authorship Analysis

Efstathios Stamatatos stamatatos at aegean.gr
Wed Feb 25 17:15:50 CET 2009

(Apologies for multiple postings)






Language Resources and Evaluation Journal


Special Issue on Plagiarism and Authorship Analysis


Guest Editors: Efstathios Stamatatos, Benno Stein, and Moshe Koppel


The vast number of electronic texts available in Internet media (e.g.,
newspaper articles, blogs, online forum messages, email messages)
necessitates automated processing of information. However, it also increases
opportunities for infringement of intellectual property rights. One
important question is whether a text by a specific author includes another
author's ideas, language, or writing without proper acknowledgment of the
original source. Plagiarism analysis is a general term for a variety of
automated methods for identifying plagiarism and related infringements. In
connection with text documents, we distinguish between corpus-based and
intrinsic analysis: the former compares suspicious documents against a set
of potential original documents, the latter identifies potentially
plagiarized passages by analyzing the suspicious document with respect to
changes in writing style. Such passages can then be used as a starting point
for a Web search or for human inspection. In addition, writing style can
also be used by authorship analysis tools to extract meta-data for a textual
document. Thus, by analyzing the stylistic choices of an author, it is
possible to estimate the author's sex, age, educational level etc. Moreover,
given that we have examples of the writing style of a set of candidate
authors, we can identify the most likely author of a new text or verify
whether this text is written by a specific author. Apart from the
traditional usage of this technology in the analysis of literary works, such
information is crucial for forensic applications where part of the evidence
is electronic text.


This special issue solicits state-of-the-art methods, tools, and
applications in the area of Plagiarism and Authorship Analysis. The
following list gives examples from the outlined field for which
contributions are welcome (but not limited to):


-          Plagiarism detection in general, in Web communities and social

-          Cross-language plagiarism 

-          Identifying near-duplicate and versioned documents 

-          Technology for high-similarity retrieval such as fingerprinting
and similarity hashing 

-          Models for authorship identification and verification

-          Writing style analysis and author profiling

-          NLP- and knowledge-based retrieval models to capture personal
traits and sentiment 

-          Web forensics, community fraud, and new Web infringements 

-          Test corpora, performance measures, and evaluation methods




Prospective authors should submit their paper according to the directions on
the LRE Web site following the content and formatting guidelines available


Submissions will be reviewed according to the standards of the LRE journal.
Papers should not have been submitted or published elsewhere but may be
extended or refined versions of conference papers with significant new,
original material.

All questions about submissions should be directed to lre at webis.de 

Prospective authors are advised to inform the guest editors about their
intention to submit a paper as soon as possible.




Submission of articles: April 30, 2009

Notification to authors: July 1, 2009

Final version of accepted papers: August 31, 2009




Efstathios Stamatatos, 

University of the Aegean, Greece


Benno Stein, 

Weimar University, Germany


Moshe Koppel, 

Bar-Ilan University, Israel


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