Temporal context for authorship attribution: a study of Danish secondary schools

Niels Dalum Hansen*, Christina Lioma, Birger Larsen, Stephen Alstrup

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)

Abstract

A study of temporal aspects of authorship attribution - a task which aims to distinguish automatically between texts written by different authors by measuring textual features. This task is important in a number of areas, including plagiarism detection in secondary education, which we study in this work. As the academic abilities of students evolve during their studies, so does their writing style. These changes in writing style form a type of temporal context, which we study for the authorship attribution process by focussing on the students’ more recent writing samples. Experiments with real world data from Danish secondary school students show 84% prediction accuracy when using all available material and 71.9% prediction accuracy when using only the five most recent writing samples from each student.


Original languageEnglish
Title of host publicationMultidisciplinary Information Retrieval : 7th Information Retrieval Facility Conference, IRFC 2014, Copenhagen, Denmark, November 10-12, 2014, Proceedings
EditorsDavid Lamas, Paul Buitelaar
Number of pages19
PublisherSpringer
Publication date1 Jan 2014
Pages22-40
ISBN (Print)978-3-319-12978-5
ISBN (Electronic)978-3-319-12979-2
DOIs
Publication statusPublished - 1 Jan 2014
EventThe 3rd Open Interdisciplinary MUMIA Conference and 7th Information Retrieval Facility Conference - Aalborg University Copenhagen, Copenhagen, Denmark
Duration: 11 Nov 201412 Nov 2014
Conference number: 7

Conference

ConferenceThe 3rd Open Interdisciplinary MUMIA Conference and 7th Information Retrieval Facility Conference
Number7
LocationAalborg University Copenhagen
Country/TerritoryDenmark
CityCopenhagen
Period11/11/201412/11/2014
SeriesLecture Notes in Computer Science
Volume8849
ISSN0302-9743

Keywords

  • Authorship attribution
  • Automatic classification
  • Secondary education

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