在线广告和数据竞争:我们在寻找什么滥用?

IF 0.7 Q2 LAW World Competition Pub Date : 2021-06-01 DOI:10.54648/woco2021012
Alexandre Köhler
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引用次数: 1

摘要

竞争法必须适应数字时代的挑战,不是通过改变其目标,而是通过改变其分析工具。在欧盟委员会考虑根据TFEU第102 (a)条重新使用剥削性滥用的时候,对使用这些尚未探索的滥用来禁止过度收集数据进行调查似乎是必要的。考虑到网络广告是平台运营的零价格经济的财务肺,我们将从网络广告的角度来解决第三方数据处理的竞争问题。因此,我们将分析广告市场的功能,它们如何与面向消费者的市场在数据提取方面相互作用,以及这种相互作用可能产生的竞争问题。在制定框架的过程中,我们将详细分析德国竞争管理局(GCA)对Facebook的决定,该决定制裁了Facebook滥用其广泛的数据收集政策的主导地位。考虑到这一尝试的成功和缺陷,我们将提出一个分析框架,用于根据欧洲竞争法和第102 (a)条TFEU进行第三方数据收集,特别是考虑到平台广告方面的排他效应。广告市场,Facebook案,滥用支配地位(剥削),滥用支配地位(排他性),第三方数据收集,不公平交易条件,GDPR,因果关系,伤害理论,DMA
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Online Advertising and the Competition for Data: What Abuse are We Looking For?
Competition law has to adapt to the challenges of the digital era, not by changing its objectives but by changing its analytical tools. At a time where the Commission contemplates going back to using exploitative abuses under Article 102 (a) TFEU, an enquiry into the use of these quite unexplored abuses for prohibiting excessive data gathering seems necessary. Considering that online advertising is the financial lungs of the zero-price economy in which platforms operate, we will address the competitive problems of third-party data processing from the standpoint of online advertising. Thus, we will analyse the functioning of advertising markets, how they interact with the consumer-facing markets as regards data extraction and what competitive problems may arise out of this interaction. The framework being set, we will give a detailed analysis of the Facebook decision from the German Competition Authority (GCA) by which it sanctioned Facebook for abuse of dominant position for its extensive data collection policy. Considering the successes and pitfalls of this attempt, we will suggest an analytical framework for approaching third-party data gathering under European competition law and Article 102 (a) TFEU in particular, taking into account exclusionary effects on the advertising side of platforms. advertising market, Facebook case, abuse of dominance (exploitative), abuse of dominance (exclusionary), third-party data gathering, unfair trading conditions, GDPR, causal link, theory of harm, DMA
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CiteScore
0.90
自引率
25.00%
发文量
18
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