Algorithmic Opacity and Exclusion in Antitrust Law

M. Patterson
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引用次数: 1

Abstract

Traditionally evidence of exclusion was available to those injured by it. If a dominant firm refused to deal with a competitor, perhaps denying an important input, or priced predatorily, there was no difficulty in presenting evidence of the conduct at issue. As means of exclusion became subtler, such as with rebate structures, the conduct was less public, but still evidence was typically available. Rebate terms were often incorporated in contracts, for example, and copies could be obtained from customers. Exclusion by online platforms is very different. When a competitor is injured by, say, a disadvantageous position in search results, the cause is often an algorithm whose function is entirely internal to the dominant firm. In such instances, a private plaintiff may not have access to evidence that would allow it to allege satisfactorily, let alone prove, a violation. This brief note sets out the difficulty this issue poses for competition law.
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反垄断法中的算法不透明与排除
传统上,被排除在外的证据只提供给被排除在外的人。如果一家占主导地位的公司拒绝与竞争对手进行交易,可能是拒绝一项重要的投入,或者掠夺性定价,那么就不难提出有关该行为的证据。随着排除手段变得更加微妙,比如回扣结构,这种行为就不那么公开了,但通常仍然可以找到证据。例如,回扣条款经常被纳入合同,并且可以从客户那里获得副本。被网络平台排斥是完全不同的。例如,当竞争对手在搜索结果中处于不利位置时,其原因往往是算法,其功能完全是占主导地位的公司内部的。在这种情况下,私人原告可能无法获得证据,使其无法提出令人满意的指控,更不用说证明违规了。这个简短的说明阐述了这个问题给竞争法带来的困难。
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