CAREER: Examining Users' Collective Privacy Management for Online Social Networks
职业:检查在线社交网络用户的集体隐私管理
基本信息
- 批准号:0953749
- 负责人:
- 金额:$ 47.86万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-06-01 至 2016-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
To better articulate privacy as a dynamic and dialectic phenomenon in a Web 2.0 world, this project proposes a set of basic empirical research activities to investigate three aspects of privacy in online social networks: conceptualization, intervention, and awareness. The goals of this CAREER award are to: 1) improve the theoretical understanding of information privacy in the context of online social networks in an interdisciplinary manner; 2) assess the efficacy of various privacy intervention strategies developed or proposed by the technologists and regulators; and 3) develop and enhance the persuasiveness of privacy and security awareness and training programs. The main contribution of this research is the generation of an interdisciplinary privacy research framework, with extensive grounding in a range of multidisciplinary privacy literatures in behavioral sciences, computer science, information systems, communication, and social psychology. This research takes a holistic view of privacy compared to the large amount of work focusing strictly on data privacy aspects. Thus, it recognizes the critical importance of user perceptions and behaviors when evaluating and developing privacy protection approaches. The proposed three tasks are greatly needed to better connect the social analysis of user privacy behaviors with the technical design of privacy enhancing technologies. The work should contribute to basic science-the underpinnings of user perceptions and actions around privacy management-as well as the findings generated for informing the design of privacy enhancing techniques. The research findings can enable technology-oriented researchers to develop more feasible privacy enhancing techniques that are embedded into the design specifications of systems, as well as aligned with organizational practices and user behaviors. This project will adopt various empirical research methods (experiments, large-scale survey, focus group and social network analysis) to test the behavioral hypotheses underlying user privacy behaviors in the context of online social networks. Well executed surveys and field experiments will contribute substantially to our understanding of how the actual users of online social networks behave and what interventions (in terms of technologies, regulations and trainings) may change their privacy decisions and behaviors.One of the three major research thrusts is to develop a privacy awareness and training program for users of online social networks. The findings could potentially have a large impact on promoting privacy and security awareness in the user community. The project also has impacts on guideline creation for industry regulators and government agencies. The PI aims to transform the repository of knowledge on the dynamic and dialectic nature of privacy assurance into a number of educational activities in her academic home at Penn State. The educational plan describes the development of new courses and course modules on privacy assurance at both undergraduate and graduate levels, bringing research into classrooms, outreach to students in underrepresented groups, and training of undergraduate and graduate student researchers in interdisciplinary methods. The PI has transformed her science into a privacy workshop for high-school girls and their parents to teach about on-line privacy issues and practices. She proposes to continue such efforts to promote privacy and security awareness among high-school girls, as well as to attract more female students into the program of security and risk analysis at Penn State. The PI will also work with a professional society, the Association for Information Systems, to create a privacy research chapter and a privacy pedagogy section to extend the Information Systems research agenda and curriculum into this important area nationally.
为了更好地阐明隐私作为 Web 2.0 世界中动态和辩证的现象,该项目提出了一系列基本实证研究活动,以调查在线社交网络中隐私的三个方面:概念化、干预和意识。该职业奖的目标是:1)以跨学科的方式提高在线社交网络背景下信息隐私的理论理解; 2)评估技术人员和监管机构制定或提出的各种隐私干预策略的有效性; 3) 制定并增强隐私和安全意识及培训计划的说服力。这项研究的主要贡献是建立了一个跨学科隐私研究框架,广泛立足于行为科学、计算机科学、信息系统、通信和社会心理学等领域的一系列多学科隐私文献。与严格关注数据隐私方面的大量工作相比,这项研究对隐私采取了整体看法。因此,它认识到在评估和开发隐私保护方法时用户感知和行为的至关重要性。迫切需要提出的三个任务来更好地将用户隐私行为的社会分析与隐私增强技术的技术设计联系起来。这项工作应该有助于基础科学——用户对隐私管理的看法和行动的基础——以及为隐私增强技术的设计提供信息的研究结果。研究结果可以使面向技术的研究人员开发出更可行的隐私增强技术,这些技术嵌入到系统的设计规范中,并与组织实践和用户行为保持一致。该项目将采用各种实证研究方法(实验、大规模调查、焦点小组和社交网络分析)来检验在线社交网络背景下用户隐私行为背后的行为假设。执行良好的调查和现场实验将大大有助于我们了解在线社交网络的实际用户的行为方式以及哪些干预措施(在技术、法规和培训方面)可能会改变他们的隐私决策和行为。三大研究重点之一是为在线社交网络的用户制定隐私意识和培训计划。这些发现可能会对提高用户社区的隐私和安全意识产生重大影响。该项目还对行业监管机构和政府机构制定指南产生影响。 该 PI 的目标是将有关隐私保障的动态和辩证性质的知识库转化为她在宾夕法尼亚州立大学学术之家的一系列教育活动。该教育计划描述了本科生和研究生级别隐私保障新课程和课程模块的开发,将研究带入课堂,向代表性不足群体的学生进行推广,以及对本科生和研究生研究人员进行跨学科方法的培训。 PI 将她的科学转变为面向高中女生及其家长的隐私研讨会,教授在线隐私问题和实践。她建议继续努力提高高中女生的隐私和安全意识,并吸引更多女学生加入宾夕法尼亚州立大学的安全和风险分析项目。 PI 还将与专业协会、信息系统协会合作,创建隐私研究分会和隐私教学部分,将信息系统研究议程和课程扩展到全国这一重要领域。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Peng Liu其他文献
Early energy performance analysis of smart buildings by consolidated artificial neural network paradigms
通过综合人工神经网络范式对智能建筑进行早期能源性能分析
- DOI:
10.1016/j.heliyon.2024.e25848 - 发表时间:
2024-02-01 - 期刊:
- 影响因子:4
- 作者:
Guoqing Guo;Peng Liu;Yuchen Zheng - 通讯作者:
Yuchen Zheng
Genetic confirmation for a central role for TNFα in the direct action of thyroid stimulating hormone on the skeleton
基因证实 TNFα 在促甲状腺激素对骨骼的直接作用中起核心作用
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:11.1
- 作者:
Li Sun;Ling;P. Lu;T. Yuen;Jianhua Li;Risheng Ma;R. Baliram;Surinder S. Moonga;Peng Liu;A. Zallone;M. New;T. Davies;M. Zaidi - 通讯作者:
M. Zaidi
A pathogenic bacteria, Spiroplasma eriocheiris, is driven by the internal structure including four bacterial actins
病原菌,螺旋原体,由包括四种细菌肌动蛋白的内部结构驱动
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Peng Liu; Masaki Mizutani; Hirofumi Wada; Bertin Clothilde; Makoto Miyata - 通讯作者:
Makoto Miyata
Formation and analysis of amorphous and nanocrystalline phases in Al–Cu–Mg alloy under friction stir processing
Al-Cu-Mg合金搅拌摩擦加工非晶相和纳米晶相的形成与分析
- DOI:
10.1080/09500839.2015.1050475 - 发表时间:
2015-06-03 - 期刊:
- 影响因子:1.2
- 作者:
Peng Liu;Q. Shi - 通讯作者:
Q. Shi
Transcriptome Analysis of Avian Pathogenic Escherichia coli O1 in Chicken Serum Reveals Adaptive Responses to Systemic Infection
鸡血清中禽致病性大肠杆菌 O1 的转录组分析揭示了对全身感染的适应性反应
- DOI:
10.1128/iai.01230-10 - 发表时间:
2011-02-28 - 期刊:
- 影响因子:3.1
- 作者:
Ganwu Li;K. A. Tivendale;Peng Liu;Yaping Feng;Y. Wannemuehler;Wentong Cai;Paul Mangiamele;T. Johnson;C. Constantinidou;C. Penn;L. Nolan - 通讯作者:
L. Nolan
Peng Liu的其他文献
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{{ truncateString('Peng Liu', 18)}}的其他基金
Computational Studies of Selective C-H Functionalization Reactions
选择性 C-H 官能化反应的计算研究
- 批准号:
2247505 - 财政年份:2023
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
Frontera Travel Grant: Computational Studies of Transition Metal-Catalyzed Reactions
Frontera 旅行补助金:过渡金属催化反应的计算研究
- 批准号:
2031953 - 财政年份:2020
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Medium: Cyber-threat Detection and Diagnosis in Multistage Manufacturing Systems through Cyber and Physical Data Analytics
协作研究:SaTC:核心:中:通过网络和物理数据分析进行多级制造系统中的网络威胁检测和诊断
- 批准号:
2019340 - 财政年份:2020
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: Enabling Precise and Automated Insecurity Analysis of Middleware on Mobile Platforms
SaTC:核心:小型:协作:实现移动平台上中间件的精确和自动不安全分析
- 批准号:
1814679 - 财政年份:2018
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
CAREER: Computational Studies of Transition Metal Catalyzed Reactions in Organic Synthesis
职业:有机合成中过渡金属催化反应的计算研究
- 批准号:
1654122 - 财政年份:2017
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
TWC: Small: Collaborative: Towards Agile and Privacy-Preserving Cloud Computing
TWC:小型:协作:迈向敏捷和隐私保护的云计算
- 批准号:
1422594 - 财政年份:2014
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research:Secure and Resilient Channel Allocation in Multi-Radio Wireless Networks
NeTS:小型:协作研究:多无线电无线网络中的安全和弹性信道分配
- 批准号:
0916469 - 财政年份:2009
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
TC: Medium: Collaborative Research: Towards Self-Protecting Data Centers: A Systematic Approach
TC:媒介:协作研究:迈向自我保护数据中心:系统方法
- 批准号:
0905131 - 财政年份:2009
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
Collaborative Research: CT-T: Transparent Damage Quarantine and Recovery in Transactional Applications and Web Services
合作研究:CT-T:事务应用程序和 Web 服务中的透明损坏隔离和恢复
- 批准号:
0716479 - 财政年份:2007
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
Capacity Building in Information Assurance at Penn State University
宾夕法尼亚州立大学信息保障能力建设
- 批准号:
0416827 - 财政年份:2004
- 资助金额:
$ 47.86万 - 项目类别:
Standard Grant
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