A collection of fragments of understanding in the pursuit of deeper questions.
Google's comparison-shopping service is one of Google's specialised search services. In response to queries, it returns product offers from merchant websites, enabling users to compare them.
Specialised search results in a particular category are positioned within sets referred to by Google as "Universals" or "OneBoxes". They are in most instances positioned above generic search results, or among the first of them. In addition to the results returned in "Universals" or "OneBoxes", Google's specialised search services can also be accessed through menu-type links displayed at the top of Google's search results pages. Certain of Google's specialised search services are based on paid inclusion. Third party websites have to enter into an agreement with Google in order to be listed in the search results of such a specialised search service. In most instances, such an agreement provides for a payment based on a pay per click system. This is the case for instance for Google Shopping.
The practice
The Panda Algorithm Google Search favored Google shopping by applying the "PANDA" algorithm only to rivals -- "comparison-shopping services are prone to being demoted by the Panda algorithm due to the characteristics inherent to those services"; "Google's own comparison-shopping service is not subject to the same ranking mechanisms as competing comparison-shopping services, including adjustment algorithms such as [...] Panda. This is despite the fact that Google's own comparison-shopping service exhibits several of the characteristic that make competing comparison-shopping services prone to being demoted by the [...] and Panda algorithms".
Google shopping benefits from a better display - "Competing comparison-shopping services can be displayed only as generic search results in Google's general search results pages. They cannot therefore be displayed in rich format, with pictures and additional information on the product and prices. The stated behaviors are considered Manipulation as:
Thus, Google's behaviour is exclusionary because:
And, Google's behaviour is anticompetitive; it reduces consumer welfare by:
Now - the U.S. Experience
Thus...
No favoritism as to the order of results - "Google would demote its own content to a less prominent location when a higher ranking adversely affected the user experience". No favoritism as to their display - "other competing general search engines adopted many similar design changes, suggesting that these changes are a quality improvement with no necessary connection to the anticompetitive exclusion of rivals".
Hence, no manipulation occurred. In addition,
Consumers go a better service - "user benefited from these changes to Google's search results ... these changes to Google's search algorithm could reasonably be viewed as improving the overall quality of Google's search results because the first search page now presented the user with a greater diversity of websites".
Exclusion resulted from merits - "[demoting some competing comparison-shopping services] resulted in significant traffic loss to the demoted comparison-shopping properties, arguably weakening those websites as rivals to Google's own shopping vertical".
Furthermore,
We cannot chill innovation - "Product design is an important dimension of competition and condemning legitimate product improvements risks harming consumers".
There is no single way to order results - "Reasonable minds may differ as to the best way to design a search results page and the best way to allocate space among organic links, paid advertisements, and other features. And reasonable search algorithms may differ as to how best rank any given website".
Antitrust authorities cannot forbid unilateral practices as long as they admit redeeming virtues - "Challenging Google's product design decisions in this case would require the Commission - or a court - to second-guess a firm's product design decisions where plausible procompetitive justifications have been offered, and where those justifications are supported by ample evidence".
Data Access
Now, the Data Value Chain, to enable firms to hold and exploit data we need to:
Input foreclosure: Can we apply the Essential Facility Doctrine to Big Data? We should have: