作者 | 赵翔 |
姓名汉语拼音 | Zhao Xiang |
学号 | 2020000006014 |
培养单位 | 兰州财经大学 |
电话 | 15289782056 |
电子邮件 | zhaoxng2022@163.com |
入学年份 | 2020-9 |
学位类别 | 学术硕士 |
培养级别 | 硕士研究生 |
学科门类 | 法学 |
一级学科名称 | 无 |
学科方向 | 经济法学 |
学科代码 | 030107 |
第一导师姓名 | 包哲钰 |
第一导师姓名汉语拼音 | Bao Zheyu |
第一导师单位 | 兰州财经大学 |
第一导师职称 | 教授 |
题名 | 数据抓取行为的反不正当竞争法规制研究 |
英文题名 | Research on Anti Unfair competition Law Regulation of Data Grabbing |
关键词 | 数据抓取行为 不正当竞争 反不正当竞争法 法律规制 利益衡量 |
外文关键词 | Data scraping behavior ; Unfair competition ; Anti unfair competition Law ; Legal regulation ; balancing of interest |
摘要 | 信息通信技术和数字化技术的持续深化和革新,带动了互联网相关行业的蓬勃发展。近几年来,平台经济已逐步形成一股新的发展动能,数据在其中起到了关键作用,日益成为互联网平台获取市场竞争力的重要要素。在平台企业围绕数据展开激烈竞争的过程中,出现了诸如“爬虫”行为之类的新型竞争现象,相比于传统竞争行为,该行为的技术手段及竞争效果等都发生了一定改变。然而,囿于现行法律制度尚未及时跟进,这种市场竞争行为无法受到有效规范,且因互联网平台市场为多边结构,其竞争行为产生的影响会同时及于多方主体,行为涉及的法益相对于传统竞争行为也更加复杂,同案不同判的情况时有发生。由此,理论界和实务界都对该问题进行了大量的探讨,主要集中于数据抓取行为的违法性认定以及损害赔偿。因此,应加快完善《中华人民共和国反不正当竞争法》(以下简称《反不正当竞争法》)以及相关司法裁判标准,助推数字经济蓬勃发展。除绪论和结语外,全文共分为四个部分。
第一部分交代数据抓取行为的基本问题,从运行机制的角度阐释数据抓取行为的概念,分析数据抓取行为的构成要件、基本类型与不正当地使用数据抓取技术的危害,指明数据抓取行为反不正当竞争法规制具有的独特优势;第二部分论述数据抓取行为的不正当竞争的规制现状。在法律规范层面,《反不正当竞争法》的“一般条款”和“互联网专条”是不正当数据抓取行为的规制路径;在司法实践层面,选取典型数据抓取竞争案件,从法律适用、行为不正当性认定等方面进行分析;第三部分阐明规制困境。基于法律规定相对滞后性的特点目前尚无具体的条款能对该行为予以明确的规制,在实践中,“一般条款”成为法官处理数据抓取纠纷的抓手,但效果不佳,这体现在:竞争关系的认定模式不统一;判定行为正当性时,“一般条款”适用道德泛化、竞争利益考量单向化、竞争利益保护“权利化”。诉前止损与补损救济方面的问题体现在诉前止损救济制度缺失和损害赔偿制度过于简化;第四部分提出完善数据抓取不正当竞争行为规制体系的建议。结合域外的相关经验,增加列举数据抓取不正当竞争行为,在广义竞争关系下对数据竞争关系进行一定的限缩,引入利益衡量机制,明确利益衡量方法,化 解数据抓取行为的利益冲突,重塑数据抓取行为不正当性的认定标准,实现认定理念转型;在诉前止损与补损救济方面建议构建诉讼禁令制度,从可操作性角度设计损害赔偿的参照因素和参照标准体系,应对损害赔偿效果不理想的现状,最终实现配套相关法律制度的完善。 |
英文摘要 | With the deep integration and innovative digital data technology, the penetration rate of the Internet continues to rise, which has promoted the vigorous growth of Internet related industries. The platform economy has gradually become a new driving force for economic development. Data, as the underlying support, is increasingly becoming a key factor for Internet platform enterprises to grasp market competitive advantages. In the process of fierce competition among platform enterprises around data, new types of unfair competition behaviors such as data capture have emerged. However, due to the fact that the current legal system has not yet been followed up in a timely manner, this type of competitive behavior cannot be effectively regulated. Due to the multilateral structure of the Internet platform market, the impact of its competitive behavior will be extended to multiple subjects at the same time, and the legal interests involved in the behavior are also more complex compared to traditional competitive behavior, which also leads to the possibility of different judgments in the same case. This has led to extensive discussions in both theoretical and practical circles, mainly focusing on the determination of the illegality of data capture and the issue of compensation for damages. Therefore, we should accelerate the improvement of the "Anti Unfair Competition Law of the People's Republic of China" and relevant judicial standards, maintain the competitive order of the Internet, and promote the vigorous development of the digital economy. The first part explains the basic issues of data capture behavior, analyzes the constituent elements of data capture behavior, the basic types, and the harm of improper use of data capture technology, and points out the unique advantages of data capture behavior in anti unfair competition law regulation; The second part discusses the regulatory status of unfair competition in data capture behavior. In terms of legal norms, the "General Provisions" and "Internet Specific Provisions" of the Anti Unfair Competition Law are the regulatory paths for unfair data capture behavior; The third part clarifies the regulatory dilemma. Due to the relatively lagging nature of legal provisions, there is currently no specific provision that can clearly regulate this behavior. In practice, "general provisions" have become the starting point for judges to handle data capture disputes, but the effect is not satisfactory. This is reflected in the following aspects: the identification model of competitive relationships is not uniform; When determining the legitimacy of an act, the "general provisions" apply to moral generalization, one-way consideration of competitive interests, and "rightization" of the protection of competitive interests. The problems of pre-litigation stop loss and compensation are reflected in the lack of pre-litigation stop loss relief system and the oversimplification of damage compensation system; The fourth part combining relevant experience from outside the country, increase the list of unfair competition behaviors in data capture, limit data competition relationships in a broad sense, introduce a benefit measurement mechanism, clarify benefit measurement methods, resolve conflicts of interest in data capture behaviors, reshape the criteria for determining the unfairness of data capture behaviors, and achieve the transformation of recognition concepts; In terms of pre-litigation stop loss and compensation relief, it is recommended to establish a litigation injunction system, design reference factors and reference standard systems for damage compensation from the perspective of operability, address the current situation where the effect of damage compensation is not ideal, and ultimately achieve the perfection of relevant supporting legal systems. |
学位类型 | 硕士 |
答辩日期 | 2023-05-23 |
学位授予地点 | 甘肃省兰州市 |
学科领域 | 法学 |
语种 | 中文 |
论文总页数 | 64 |
参考文献总数 | 44 |
馆藏号 | 0004900 |
保密级别 | 公开 |
中图分类号 | DF4/189 |
文献类型 | 学位论文 |
条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/33722 |
专题 | 法学院 |
推荐引用方式 GB/T 7714 | 赵翔. 数据抓取行为的反不正当竞争法规制研究[D]. 甘肃省兰州市. 兰州财经大学,2023. |
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