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作 者:蔡斐 王啸洋 Cai Fei;Wang Xiaoyang
机构地区:[1]西南政法大学新闻传播学院
出 处:《新媒体与社会》2023年第1期204-216,共13页New Media and Society
摘 要:本文通过对2011~2021年北大法宝平台收录的78个利用大数据实施著作权犯罪案件的实证分析,发现当前涉大数据犯罪主要存在运用爬虫技术进行作品采集、设置加框链接传播作品、通过解析程序获取作品链接三种犯罪手段。大数据时代已经对当前著作权刑事保护提出了挑战,出现“以营利为目的”的主观构成要件认定扩张、定罪标准忽视情节认定等问题。对此,建议采取“建构式”立法进路,新设“通过信息网络侵犯著作权罪”,为著作权提供强有力的刑事保护。Through the empirical analysis of 78 cases of copyright crimes committed by using big data included in the PKULAW from 2011 to 2021,this paper finds that the current big data related crimes mainly include three criminal means:using crawler technology to collect works,setting framed links to spread works,and obtaining work links through analytical procedures.The era of big da-ta has challenged the current criminal protection of copyright,with problems such as the expansion of the identification of subjective constituent elements of“for profit”,and the neglect of the identification of circumstances in the convic-tion standard.In this regard,it is suggested to adopt a constructive legislation ap-proach and establish a new crime called“Crime of Infringing Copyright through Information Network”to provide strong criminal protection for copyright.
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