2015 WhitherSocialNetworksforWebSear

• (Agrawal et al., 2015) ⇒ Rakesh Agrawal, Behzad Golshan, and Evangelos Papalexakis. (2015). “Whither Social Networks for Web Search?.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2788571

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• http://scholar.google.com/scholar?q=%222015%22+Whither+Social+Networks+for+Web+Search%3F
• http://dl.acm.org/citation.cfm?id=2783258.2788571&preflayout=flat#citedby

Quotes

Author Keywords

• Bing; data mining; google; search engine; [[search process; search result com- parison; social media search; twitter; web search

Abstract

Access to diverse perspectives nurtures an informed citizenry. Google and Bing have emerged as the duopoly that largely arbitrates which English language documents are seen by web searchers. A recent study shows that there is now a large overlap in the top organic search results produced by them. Thus, citizens may no longer be able to gain different perspectives by using different search engines.

We present the results of our empirical study that indicates that by mining Twitter data one can obtain search results that are quite distinct from those produced by Google and Bing. Additionally, our user study found that these results were quite informative. The gauntlet is now on search engines to test whether our findings hold in their infrastructure for different social networks and whether enabling diversity has sufficient business imperative for them.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 WhitherSocialNetworksforWebSear	Evangelos Papalexakis Behzad Golshan Rakesh Agrawal			Whither Social Networks for Web Search?				10.1145/2783258.2788571		2015