个人信息的民法保护

随着人们对个人信息价值的认识不断深化,传统条件下的立法主要针对隐私利益给以保护的模式越来越不能满足人们对个人信息利益保护的要求,个人信息财产属性的彰显使得人们需要法律对个人信息积极利用的权利加以保护。计算机技术的快速发展使得人们越来越难以控制自己的信息。因而迫切需要从原有的对隐私利益的消极被动的保护模式过渡到全面积极的个人信息保护模式。     

汉英社交指示语的语用对比分析

首先概述了社交指示语的概念、国内外研究概况,接着陈述了汉英礼貌原则并以此为理论依据,从人称指示、称呼语、敬语谦词三个方面分析了汉英社交指示语的异同。指出了跨文化交际中应当重视社交指示语的用法差异,以使交际顺畅进行。     

刑法解释体制探微

成文法系传统导致刑法解释权仅仅由国家机关垄断,解释者被限定在有限的范围内。一元解释体制是对解释的误读,不仅造成司法解释与事实认定之间的巨大鸿沟,也使刑法适用结果与公众期许相悖,导致法律解释成为文本的附庸。中国的刑事司法适用只有将法官的个人因素与公众情感纳入考量范围,通过合理的路径,才能实现刑法解释的真正合理化。     

礼貌原则视域下人称指示偏离的语用意义——化妆品广告语篇解读

以人称语法层面与交际活动中对象指称层面的关系为基点,通过化妆品广告语篇这一载体,探讨隐于人称偏离背后的种种语用目的与意义,发现人称偏离对品牌商家产品广告语篇的解读具有特殊的意义,无论是彰显发话人权威还是拉近读者心理距离等,都是为了实现礼貌意义和化妆品广告的功能语旨,说服潜在消费者产生购买的意愿并付诸行动.     

民商法与健全个人信用体系的现实融合

近年来我国社会经济出现飞跃性发展,以及社会信用体系初具规模的建立健全,让人们对自己的信用状况越来越重视。属于国家信用重要组成部分的个人信用体系,是解释、证明和查验人们信用情况的依据,只有国家信用体系完善,法律健全,以个人信用作为交易形式才能更加安全、有效地运作。目前我国个人信用的法律制度建设,在运行时还存在一些问题,还不能完全满足经济建设和社会发展的需求。只有完善解决,才能让信用体系更好地运行和实施。通过以民商法信用体系原则为切入点,分析个人信用体系的体现和现实意义,以及民商法和个人信用原则在融合中出现的障碍,探讨健全个人信用体系,完善与商法的融合性。     

民族认同与国家认同研究述评

民族认同与国家认同的研究一直以来都是学界关注的重点内容之一,学者们为此进行了不懈的努力,成就卓然。文章通过对目前国内外民族认同和国家认同的相关研究成果进行系统梳理,指出通过引入身份认同理论,把群体或个体的意识和行为同文化和社会结构因素联系起来,从综合性、历时性的动态视角来研究民族问题,并由此总结出民族认同与国家认同变迁的规律或机理,将会更好地服务于现实社会。     

针对生物识别信息的刑法保护:现实境遇与完善路径——以四川“人脸识别案”为切入点

当前生物识别信息在我国社会中的运用呈现逐年递增的趋势.生物识别信息具备本体特殊性和社会特殊性,这决定了其具备与普通公民个人信息不同的重要性,应受到刑法的特殊保护,但我国既定刑事立法对生物识别信息并未进行任何形式的特殊保护.可运用实质解释的方法,在不违反罪刑法定原则的前提下,充分利用两高《解释》第5条中第1款第10项和第2款第4项这两个兜底条款,将"侵犯生物识别信息5条及以上"认定为"情节严重",将"侵犯生物识别信息50条及以上"认定为"情节特别严重",由此降低针对生物识别信息原本的入罪和法定刑升格的数量,最终实现对生物识别信息的特殊刑法保护.     

大数据背景下个人信息处理行为的法律规制——以个人信息处理行为的双重外部性为分析视角

大数据背景下个人信息处理行为既引发数据安全风险等负外部性，也会带来分享经济价值实现等正外部性，"大数据悖论"现象揭示了双重外部性成因。基于"外部性内在化"原理赋予信息主体以个人信息权并赋予数据控制者以大数据财产权虽有助分别规制其双重外部性，但网络大数据背景下其双重外部性规制彼此交互影响而面临两难困境。法经济学关于"损害之相互性"理论证立了基于"风险导向理念"规制个人信息处理以破解其两难困境的经济逻辑。大数据产业发展有赖个人信息处理的"外部性外部化"而实现分享经济。法经济学关于"公地喜剧"理论证立了基于"外部性外部化"规制个人信息处理而满足大数据产业发展需要的经济逻辑。大数据背景下个人信息处理的规制有赖从"压制型法"到兼及"回应型法"的理念转换，从"外部性内在化"兼及"外部性外部化"的机制并举，从数据资源权利配置兼及数字技术权力干预的措施协同，实现大数据产业创新与个人信息安全的有机平衡。     

HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets

There are no practical and effective mechanisms to share high-dimensional data including sensitive information in various fields like health financial intelligence or socioeconomics without compromising either the utility of the data or exposing private personal or secure organizational information. Excessive scrambling or encoding of the information makes it less useful for modelling or analytical processing. Insufficient preprocessing may compromise sensitive information and introduce a substantial risk for re-identification of individuals by various stratification techniques. To address this problem, we developed a novel statistical obfuscation method (DataSifter) for on-the-fly de-identification of structured and unstructured sensitive high-dimensional data such as clinical data from electronic health records (EHR). DataSifter provides complete administrative control over the balance between risk of data re-identification and preservation of the data information. Simulation results suggest that DataSifter can provide privacy protection while maintaining data utility for different types of outcomes of interest. The application of DataSifter on a large autism dataset provides a realistic demonstration of its promise practical applications.     

A Qualitative Case Study on Recovery and Personal Growth in Korean Drug Addicts

ABSTRACT

In recent years, crimes related to drug smuggling and production have gradually increased in Korea. This qualitative case study explores the experiences of Koreans recovering from drug addiction and identifies specific details and mechanisms of recovery. For this purpose, participants were selected based on criteria such as engaging in social activities after recovery from addiction for 3 years or more. Next, one-on-one in-depth interviews were conducted with five voluntarily consenting participants. Data were analyzed using the within-/cross-case analysis suggested by Creswell. Substantial personal growth took place in the recovery process for drug addicts. Nineteen themes were identified as manifestations of personal growth through within-case analysis. Four common themes were then derived through cross-case analysis. These four common themes were “reconnection with reality,” “embracing the essence of one's own existence,” “reconstructing oneself in social relations,” and “self-love.” The study's results suggest that a recovery program needs to be developed wherein the program not only enables drug addicts to reflect on their current existence but also allows them to develop their specific coping skills. Future research should be broadened to consider the social support mechanism and viewpoints of people including family and local community members in close contact with drug addicts.