An examination of content farms in web search using crowdsourcing

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 2551-2554

  McCreadie, Richard ^a   Macdonald, Craig ^a   Ounis, Iadh ^a   Giles, Jim ^b   Jabr, Ferris ^c  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b Research Scientist   (United States)

^c New Scientist   (United States)

Author keywords

content farms; crowdsourcing; web search

Indexed keywords

CROWDSOURCING; ONLINE ADVERTISING; WEB SEARCHES;

KNOWLEDGE MANAGEMENT; PROFITABILITY; SEARCH ENGINES; WEBSITES;

INFORMATION RETRIEVAL;

EID: 84871093626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398689     Document Type: Conference Paper

References (8)

1. Omar Alonso, Daniel Rose and Benjamin Stewart. Crowdsourcing for relevance evaluation. SIGIR Forum, 2008.
2. Jim Giles and Ferris Jabr. Inside search engines war on bad results. New Scientist, Issue 2843, 2011.
3. Zoltan Gyongyi and Hector Garcia-molina. Web Spam Taxonomy. In Proceedings of AIRWEB 2005.
4. Jeff Howe. The Rise of Crowdsourcing. Wired Magazine Article, 2006.
5. Gabriella Kazai, Jaap Kamps, Marijn Koolen and Natasa Milic-Frayling. Crowdsourcing for book search evaluation: Impact of HIT design on comparative system ranking. In Proceedings of SIGIR 2011.
6. Richard McCreadie, Craig Macdonald and Iadh Ounis. Identifying Top News using Crowdsourcing. Information Retrieval Journal, 2012.
7. Benjamin Markines, Ciro Cattuto and Filippo Menczer. Social Spam Detection. In proceedings of AIRWEB 2009.
8. Danny Sullivan. Google Forecloses On Content Farms With "Panda" Algorithm Update. http://searchengineland.com/google-forecloses-on-content- farms-with-farmeralgorithm-update-66071 accessed 24/02/12.