A game theory-based analysis of search engine non-neutral behavior
In recent years, there has been a rising concern about the policy of major search engines, and more specifically about their ranking in so-called organic results corresponding to keywords searches. The associated proposition is that their behavior should be regulated. The concern comes from search bias, which refers to search rankings based on some principle different from the expected automated relevance. In this paper, we analyze one behavior that results in search bias: the payment by content providers to the search engine in order to improve the chances to be located and accessed by a search engine user. A simple game theory-based model is presented where both a search engine and a content provider interact strategically, and the aggregated behavior of users is modeled by a demand function. The utility of each stakeholder when the search engine is engaged in such a non-neutral behavior is compared with the neutral case when no such side payment is present.
|Date of creation:||25 Jun 2012|
|Publication status:||Published in NGI 2012: 8th Euro-NF Conference on Next Generation Internet, Jun 2012, Karlskrona, Sweden. pp.1-6, 2012|
|Note:||View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00725180|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Martin J. Osborne & Ariel Rubinstein, 1994.
"A Course in Game Theory,"
MIT Press Books,
The MIT Press,
edition 1, volume 1, number 0262650401.
When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00725180. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)
If references are entirely missing, you can add them using this form.