Monitoring network structure and content quality of signal processing articles on wikipedia

Author

Lee, Tao C. ; Unnikrishnan, Jayakrishnan

Author_Institution

Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland

fYear

2013

Firstpage

8766

Lastpage

8770

Abstract

Wikipedia has become a widely-used resource on signal processing. However, the freelance-editing model of Wikipedia makes it challenging to maintain a high content quality. We develop techniques to monitor the network structure and content quality of Signal Processing (SP) articles on Wikipedia. Using metrics to quantify the importance and quality of articles, we generate a list of SP articles on Wikipedia arranged in the order of their need for improvement. The tools we use include the HITS and PageRank algorithms for network structure, crowdsourcing for quantifying article importance and known heuristics for article quality.

Keywords

Web sites; content management; document handling; information retrieval; information use; signal processing; HITS; PageRank algorithms; article quality; crowdsourcing; high content quality; network structure; signal processing articles; wikipedia; Electronic publishing; Encyclopedias; Internet; Measurement; Signal processing; Signal processing algorithms; Signal processing; Wikipedia; crowdsourcing; information quality metrics; network analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6639378

Filename

6639378