Plagiarism Detection in Large Sets of Press Agency News Articles

  • Authors:
  • Wolfgang Kienreich;Michael Granitzer;Vedran Sabol;Werner Klieber

  • Affiliations:
  • Competence Center for Knowledge-Based Applications and Systems, Austria;Competence Center for Knowledge-Based Applications and Systems, Austria;Competence Center for Knowledge-Based Applications and Systems, Austria;Competence Center for Knowledge-Based Applications and Systems, Austria

  • Venue:
  • DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

The advent of electronic media enabling rapid publishing and instant access to news articles has vastly increased the working pace of the media industry. Press agencies can no longer afford to neglect plagiarisms formerly perceived as irrelevant because such acts instantly void the commercial value of original and potentially exclusive news articles. From a different point of view, individuals and organizations of public interest require instant evaluation of impact of actions taken and diffusion of statements made in the media. This publication presents a methodology and a prototypical system for analyzing plagiarisms and, in general, diffusion of textual content in newspaper articles and reports on preliminary application results obtained in the context of Austria's press agency APA.