Search (Non-)Neutrality and Impact on Innovation

Abstract : The search neutrality debate, as a parallel to the network neutrality debate, is raging worldwide, with search engines accused of biasing the ranking of their organic links to provide a competitive advantage to their own content. In a recent paper, we have designed a model and determined the optimal ranking policy for a search engine as a trade-off between short-term revenue (based on the potential immediate gain from high-ranked links) and long-term revenue (based on the satisfaction of users due to the relevance of the ranking). We here apply this model to investigate on an example whether non-neutrality impacts innovation. We illustrate that a revenue-oriented search engine may indeed deter innovation at the content level, hence the validity of the argument (without necessarily meaning that search engines should be regulated).
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Communication dans un congrès
NetEcon 2016 : The 11th Workshop on the Economics of Networks, Systems and Computation, Jun 2016, Juan-les-Pins, France
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Soumis le : lundi 13 juin 2016 - 07:29:48
Dernière modification le : mardi 10 juillet 2018 - 16:29:42

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Pierre L'Ecuyer, Patrick Maillé, Nicolás Stier-Moses, Bruno Tuffin. Search (Non-)Neutrality and Impact on Innovation. NetEcon 2016 : The 11th Workshop on the Economics of Networks, Systems and Computation, Jun 2016, Juan-les-Pins, France. 〈hal-01330741〉

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