Excessive Data Collection as Anti-Competitive Conduct: The Approach of Germany and India

数据收集 业务 政治学 社会科学 社会学
作者
Srishti Kumar
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
标识
DOI:10.2139/ssrn.4342468
摘要

Digital platforms are characterized by their multi-sided model which offers services to users on one side without charging any monetary price by cross-subsidizing these services by charging businesses for targeted advertising on the other side of the platform. Hence, the collection and aggregation of data (including personal data) across various services of these digital platforms become a strategic asset for digital platforms given the insights that can be drawn from data analytics. However, the accumulation of data gives rise to a host of challenging issues which governments, regulators, and courts across the world are grappling with. Some of the concerns are that excessive data accumulation may lead to the entrenchment of the dominant position of incumbents deterring rivals from entering the market, harmful price discrimination, or violation of users’ privacy. Much of the debate surrounding the data accumulation challenge posed by digital platforms revolves around the suitability of antitrust laws for the purpose. Some of the questions raised are if data accumulation issues are antitrust issues as opposed to privacy or consumer protection issues, and if so, how they may be addressed under the existing antitrust laws or if the current antitrust laws require a revision to address the challenges posed by digital platforms.This paper seeks to explore how excessive data accumulation issues are dealt with under antitrust laws with a focus on Germany and India. To this end, this paper first examines the special characteristics of digital platforms in Part II and the concept of abuse of dominance in these jurisdictions in Part III. Further, this paper examines the German Federal Cartel Office’s (“FCO”) decision to prohibit Facebook’s data collection policy under the German competition law (“Facebook-Germany case”) in Part IV and India’s Competition authority’s approach in initiating an investigation towards the Facebook-WhatsApp data sharing as a result of WhatsApp’s updated privacy policy in Part V. Further this paper discusses if the import of data protection laws in anti-trust scrutiny is appropriate in Part VI.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
冰糖葫芦娃完成签到,获得积分10
刚刚
美少女星星完成签到,获得积分10
2秒前
3秒前
7秒前
科研通AI5应助QR采纳,获得10
7秒前
董H完成签到,获得积分10
10秒前
10秒前
12秒前
what发布了新的文献求助10
17秒前
leolee完成签到,获得积分10
19秒前
19秒前
23秒前
rye227应助DD47采纳,获得20
24秒前
SCI发布了新的文献求助10
25秒前
莎莉完成签到,获得积分10
27秒前
Felix完成签到,获得积分10
28秒前
情怀应助曾淋采纳,获得10
29秒前
jeonghan完成签到 ,获得积分10
29秒前
LOVER完成签到 ,获得积分10
30秒前
共享精神应助落后醉易采纳,获得10
31秒前
32秒前
大模型应助清风明月采纳,获得10
33秒前
35秒前
111发布了新的文献求助10
35秒前
kelaibing完成签到,获得积分10
35秒前
pluto应助温暖砖头采纳,获得10
36秒前
SciGPT应助科研通管家采纳,获得10
38秒前
FashionBoy应助科研通管家采纳,获得30
38秒前
科目三应助科研通管家采纳,获得10
38秒前
研友_VZG7GZ应助科研通管家采纳,获得10
38秒前
酷波er应助科研通管家采纳,获得10
38秒前
科研通AI5应助科研通管家采纳,获得10
38秒前
科研通AI5应助科研通管家采纳,获得10
38秒前
乐乐应助科研通管家采纳,获得30
38秒前
我是老大应助科研通管家采纳,获得10
39秒前
zmnzmnzmn应助科研通管家采纳,获得10
39秒前
lynn应助科研通管家采纳,获得40
39秒前
小二郎应助科研通管家采纳,获得10
39秒前
小马甲应助科研通管家采纳,获得10
39秒前
科研通AI5应助科研通管家采纳,获得10
39秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778047
求助须知:如何正确求助?哪些是违规求助? 3323723
关于积分的说明 10215564
捐赠科研通 3038918
什么是DOI,文献DOI怎么找? 1667711
邀请新用户注册赠送积分活动 798351
科研通“疑难数据库(出版商)”最低求助积分说明 758339