大数据安全视角下计算机数据刑法保护之反思

大数据安全问题是信息时代刑法面临的全新挑战,在大数据技术的推动下,计算机数据的价值属性通过“量变”实现了“质变”,催生了新的法益保护需求并弱化了传统法益的刑法保护效果,传统的计算机数据刑法保护体系严重滞后。重新解释非法获取计算机信息系统罪并对《刑法修正案（九）（草案）》规定进行微调,是实现计算机数据刑法保护体系完善必经的司法途径和立法途径。     

大数据与微时代： 虚拟社会公共服务体系的双重建构

大数据与微时代引发了虚拟社会的多重变革,新的服务理念和服务模式呼之欲出,虚拟社会公共服务的走向、模式、内涵正在发生深刻变化。但是受到推送途径、参与机制、数据基础、保障措施等因素的制约,虚拟社会公共服务的质量和效率相对有限,其体系面临着解构与重构。大数据与微时代是当前虚拟社会公共服务体系建构中不可或缺的重要因素,通过培育公共服务精神、推进虚拟社会公共服务均等化发展、强化多元参与主体间的良性互动、完善虚拟社会公共服务体系建构秩序等途径,科学、合理地对其加以运用,将会有效助推虚拟社会公众服务的不断创新和发展。     

Analysis of social innovation on social networking services

ABSTRACT

Social network services are allowing more social connectivity and making possible sharing information and knowledge of a different nature. This article analyses if social workers related to active social policies from Malaga province (Spain) are using social network services to share information and knowledge and if there is a mirror between online and offline relationships. Since it is an experimental model, through virtual ethnography and through social network analysis methodology, we observed the presence, connectivity and analysed the structure of relationships that keep 235 professionals from 52 organizations in Facebook®. Moreover, the model uses the statistical technique of modularity for detecting online communities, which are compared with distribution of professionals in their organizations. Results show how social network services applied to social intervention are massively and frequently used by professionals. On the other hand, the detected communities reflect existence of analogy between online and offline relationships. The online structure shows a high degree of cohesion and how certain professionals have higher capacity of influence and diffusion depending on position in the online structure. It argues about the opportunity to incorporate social network services towards social intervention as a manner of social innovation to improve cooperation and diffusion of information and knowledge.     

‘It’s all bollocks!’ and other critical standpoints on the UK Government’s vision of global citizenship

The UK Government’s International Citizen Service (ICS) sends volunteers abroad to ‘fight global poverty’ as ‘global citizens’. Perhaps unsurprisingly, the construction of development on the ICS programme forecloses important political and historical contexts, resulting in a model of global citizenship we might term ‘soft’. This article presents data from interviews with ICS volunteers with a specific methodological concern of recognizing the agency of young people and allowing their responses to lead discussion. The outcome is a range of themes across the data that critique the Government’s model of citizenship and, I argue, shows the volunteers to be ‘critical’ global citizens. I then ask whether we can consider this a mode of resistance. I conclude with a final data set that – the case is made – presents an imperative to allow these volunteers to have their perspectives on historical and contemporary North–South relations recognized as a critical mode of global citizenship.     

“反公地悲剧”视域下的大数据交易法律规制

“互联网+”行动时代的电子商务市场交易行为呈现多元化发展趋势,政府管制和产权确权问题无形中增加了资源稀缺的负担,资源整合和共享对大数据的交易造成了一定的影响,导致整个社会生产效率低下、优质资源配置无效,因此,大数据的安全交易行为需要破解和限制“反公地悲剧”的困境.为了使信息网络资源能够安全合理地被有效利用,实现治理层面的共识,据此,探讨我国大数据交易行为在“反公地悲剧”下引发的一系列根基,并给予对策.     

被遗忘权的场域思考及与隐私权、个人信息权的关系

被遗忘权不仅在大数据领域中存在,而且在古典的隐私权或者个人信息权(信息隐私权)领域中也存在.在大数据领域中,被遗忘权以删除权为主要内容,而在非大数据领域中,被遗忘权以禁止或者限制收集、使用为主要内容.在大数据领域中,被遗忘权的出现并没有产生一种完全独立的新兴权利,毋宁是在古典隐私权的地基上并依赖于个人信息权(信息隐私权)的保护,增加了广义的隐私权的内容.对个人信息权和被遗忘权的认知应当在古典隐私权的地基上进行.     

The methodology of a multi-model project examining how facebook infrastructures social relations

It is the purpose of this paper to make explicit the methodology (the theory of the methods) by which we conducted research for an Economic and Social Research Council-funded research project on the relationship of values to value. Specifically, we wanted to study the imperative of Facebook to monetize social relationships, what happens when one of our significant forms of communication is driven by the search for profit, by the logic of capital. We therefore wanted to ‘get inside’ and understand what capital's new lines of flight, informationally driven models of economic expansion, do to social relations. Taking up the challenge to develop methods appropriate to the challenges of ‘big data', we applied four different methods to investigate the interface that is Facebook: we designed custom software tools, generated an online survey, developed data visualizations, and conducted interviews with participants to discuss their understandings of our analysis. We used Lefebvre's [(2004). Rhythmnanalysis: Space, time and everyday life. London: Continuum] rhythmanalysis and Kember and Zylinska's [(2012). Life after new media: Mediation as a vital process. Cambridge, MA: MIT Press] ideas about ‘lifeness’ to inform our methodology. This paper reports on a research process that was not entirely straightforward. We were thwarted in a variety of ways, especially by challenge to use software to study software and had to develop our project in unanticipated directions, but we also found much more than we initially imagined possible. As so few academic researchers are able to study Facebook through its own tools (as Tufekci [(2014 Tufekci, Z. (2014). Big questions for social media big data: Representativeness, validity and other methodological pitfalls. In ICWSM ‘14: Proceedings of the 8th International AAAI Conference on Weblogs and Social Media, pp. 505–514. [Google Scholar]). Big questions for social media big data: Representativeness, validity and other methodological pitfalls. In ICWSM ‘14: Proceedings of the 8th International AAAI Conference on Weblogs and Social Media (pp. 505–514)] notes how, unsurprisingly, at the 2013 ICWSM only about 5% of papers were about Facebook and nearly all of these were co-authored with Facebook data scientists), we hope that our methodology is useful for other researchers seeking to develop less conventional research on Facebook.     

Twitter publics: how online political communities signaled electoral outcomes in the 2010 US house election

Online social networks are an important setting for understanding the intersection of online communities and offline political processes. This paper analyzes the different ways that people discuss elections on Twitter. Using data from a random sample totaling 113,985 tweets and 30,995 users, we examine the differences between users who employ various strategies to talk about US 2010 Congressional candidates. We show that users who simply include the text of a candidate's name in a message exhibit different behaviors than those who use platform-specific mechanisms. Users who employ free-text tend to have younger accounts, are less likely to be ‘verified’, and generate fewer messages about candidates. Furthermore, candidates’ share of the free-text Twitter public has a larger correlation with their vote tallies than @mentions or hashtags. This research has methodological implications for studying the dynamics between online discourse and offline behavior. Overall, our findings support the view that forms of communication that are more accessible are more indicative of broader social trends.     

借鉴美国经验,促进广州大数据产业发展

基于海量数据资源的挖掘和应用催生的大数据产业,是新一代信息领域的重点产业及大数据时代的基础支撑产业,是全球下一个发展创新、角力竞争、提高生产力的战略性产业。目前,国内外大数据产业标准和产业格局尚未形成,这是广州促进大数据产业跨越发展的难得机会。广州应借鉴美国等发达国家经验,把握大数据时代到来的机遇,高度重视和超前谋划,整合资源合力加快广州大数据产业跨越发展,抢占战略性新兴产业发展的制高点。     

当大数据遭遇人性：兼论技术的断层与无奈

在数据科学滥觞之初，“模型推动运营”还是“数据推动运营”就是学术界争论的焦点。时至今日，在“算法统治世界”的话语喧嚣中，我们依然需要清醒。当大数据遭遇人性，我们该如何应对技术的断层与无奈。在越来越多的人文社会科学都宣称进行大数据研究转向的语境下，我们更需要逆流而思，冷静分析大数据方法热下的人文社会科学研究方法的大作为。