An examination of content farms in web search using crowdsourcing

Mccreadie, R. , Macdonald, C. , Ounis, I. , Giles, J. and Jabr, F. (2012) An examination of content farms in web search using crowdsourcing. In: CIKM 2012: 21st ACM International Conference on Information and Knowledge Management, Maui HI, USA, 29 Oct - 2 Nov 2012, pp. 2551-2554. (doi: 10.1145/2396761.2398689)

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On the Web, content farms produce articles engineered such that search engines rank them highly, in order to turn a profit from online advertising. Recently, content farms have increasingly been the target of demotion strategies by Web search engines, since content farm articles are often considered to be of suspect quality. In this paper, we study the prevalence of content farms in the results returned by three major Web search engines over time. In particular, we develop a crowdsourced approach to identify content farm articles from the results returned by these search engines. Our results show that between the period of March and August 2011, the number of content farm articles observed on a number of indicative queries was reduced by up to 55% in the top ranks.

Item Type:Conference Proceedings
Additional Information:ISBN: 9781450311564
Glasgow Author(s) Enlighten ID:Mccreadie, Dr Richard and Macdonald, Professor Craig and Ounis, Professor Iadh
Authors: Mccreadie, R., Macdonald, C., Ounis, I., Giles, J., and Jabr, F.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science

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