http://dl.gi.de/handle/20.500.12116/36554 2026-07-22T22:49:58Z 2026-07-22T22:49:58Z Schubert, Charlotte http://dl.gi.de/handle/20.500.12116/36557 2021-06-21T12:23:08Z 2020-01-01T00:00:00Z

Intertextuality and Digital Humanities Schubert, Charlotte Proceeding from the debate on intertextuality, some considerations are presented here for Literary and Historical Studies that suggest a theory-driven approach applying algorithm-based procedures. It will be shown that methodical tensions between qualitative and quantitative approaches can be solved simultaneously in this way. On this basis, the approach combines intertextuality theory with an algorithm-based procedure (here a search based on Word Mover’s Distance).

2020-01-01T00:00:00Z Bevendorff, Janek Wenzel, Tobias Potthast, Martin Hagen, Matthias Stein, Benno http://dl.gi.de/handle/20.500.12116/36561 2021-06-21T12:23:08Z 2020-01-01T00:00:00Z

On divergence-based author obfuscation: An attack on the state of the art in statistical authorship verification Bevendorff, Janek; Wenzel, Tobias; Potthast, Martin; Hagen, Matthias; Stein, Benno Authorship verification is the task of determining whether two texts were written by the same author based on a writing style analysis. Author obfuscation is the adversarial task of preventing a successful verification by altering a text’s style so that it does not resemble that of its original author anymore. This paper introduces new algorithms for both tasks and reports on a comprehensive evaluation to ascertain the merits of the state of the art in authorship verification to withstand obfuscation. After introducing a new generalization of the well-known unmasking algorithm for short texts, thus completing our collection of state-of-the-art algorithms for verification, we introduce an approach that (1) models writing style difference as the Jensen-Shannon distance between the character n-gram distributions of texts, and (2) manipulates an author’s writing style in a sophisticated manner using heuristic search. For obfuscation, we explore the huge space of textual variants in order to find a paraphrased version of the to-be-obfuscated text that has a sufficiently high Jensen-Shannon distance at minimal costs in terms of text quality loss. We analyze, quantify, and illustrate the rationale of this approach, define paraphrasing operators, derive text length-invariant thresholds for termination, and develop an effective obfuscation framework. Our authorship obfuscation approach defeats the presented state-of-the-art verification approaches, while keeping text changes at a minimum. As a final contribution, we discuss and experimentally evaluate a reverse obfuscation attack against our obfuscation approach as well as possible remedies.

2020-01-01T00:00:00Z Molitor, Paul Ritter, Jörg http://dl.gi.de/handle/20.500.12116/36556 2021-06-21T12:23:08Z 2020-01-01T00:00:00Z

Digital methods for intertextuality studies Molitor, Paul; Ritter, Jörg Article Digital methods for intertextuality studies was published on April 1, 2020 in the journal it - Information Technology (volume 62, issue 2).

2020-01-01T00:00:00Z Frontmatter http://dl.gi.de/handle/20.500.12116/36555 2021-06-21T12:23:08Z 2020-01-01T00:00:00Z

Frontmatter Frontmatter Article Frontmatter was published on April 1, 2020 in the journal it - Information Technology (volume 62, issue 2).

2020-01-01T00:00:00Z