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作 者:朱晓睿 Zhu Xiaorui
机构地区:[1]清华大学法学院
出 处:《知识产权》2020年第10期64-76,共13页Intellectual Property
基 金:“网络版权内容过滤措施的法律规制”国家社科基金项目的支持(项目批准号:16BFX140)。
摘 要:版权内容过滤技术日臻成熟,在预防网络版权侵权方面具有明显的效率优势。然而,过滤措施是一种基于算法的技术规制,可能对用户隐私产生一定威胁。文章借鉴美国司法实践经验,明确隐私权以隐私合理期待为认定标准,以社会利害权衡为保护界限。在这一标准和限度内,网络内容存储与发布服务提供商实施版权内容过滤措施能够与用户隐私利益相协调。从利益平衡的公共政策视角出发,过滤措施以维护网络版权秩序为目的,以机器过滤而非人工审查的方式接触到一定范围内的用户隐私信息,具有一定的合理性。合理设计过滤标准,版权内容过滤措施能够在有效保护版权的同时保障用户的隐私利益,能够在整体上提高社会福利。Copyright content filtering technology is becoming increasingly mature and gaining obvious efficiency advantages in preventing online copyright infringement.However,filtering measures are a technical regulation based on algorithms,which may pose certain threat to user privacy.Learning from the experience of American judicial practices,user privacy shall be recognized with the standard of reasonable expectation of privacy and be subjected to tradeoff of social interests.With the standard and limit,network content storage and distribution service providers,while implementing copyright content filtering measures,can also take into account user privacy interests.From the perspective of the public policy of interests balancing,the filtering measures are aimed at maintaining the order of online copyright,and it is reasonable to access a certain range of user private information through machine filtering instead of manual review.With appropriate design of filtering standards,copyright content filtering measures can effectively protect both copyrights and user privacy,thus ultimately improve social welfare.
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