Government and Social Media: A Case Study of 31 Informational World Cities

Social media platforms are increasingly being used by governments to foster user interaction. Particularly in cities with enhanced ICT infrastructures (i.e., Informational World Cities) and high internet penetration rates, social media platforms are valuable tools for reaching high numbers of citizens. This empirical investigation of 31 Informational World Cities will provide an overview of social media services used for governmental purposes, of their popularity among governments, and of their usage intensity in broadcasting information online.Comment: In Proceedings of the 47th Hawaii International Conference on System Sciences (pp. 1715-1724). IEEE Computer Society, 201

Do not trust me: Using malicious IdPs for analyzing and attacking Single Sign-On

Single Sign-On (SSO) systems simplify login procedures by using an an Identity Provider (IdP) to issue authentication tokens which can be consumed by Service Providers (SPs). Traditionally, IdPs are modeled as trusted third parties. This is reasonable for SSO systems like Kerberos, MS Passport and SAML, where each SP explicitely specifies which IdP he trusts. However, in open systems like OpenID and OpenID Connect, each user may set up his own IdP, and a discovery phase is added to the protocol flow. Thus it is easy for an attacker to set up its own IdP. In this paper we use a novel approach for analyzing SSO authentication schemes by introducing a malicious IdP. With this approach we evaluate one of the most popular and widely deployed SSO protocols - OpenID. We found four novel attack classes on OpenID, which were not covered by previous research, and show their applicability to real-life implementations. As a result, we were able to compromise 11 out of 16 existing OpenID implementations like Sourceforge, Drupal and ownCloud. We automated discovery of these attacks in a open source tool OpenID Attacker, which additionally allows fine-granular testing of all parameters in OpenID implementations. Our research helps to better understand the message flow in the OpenID protocol, trust assumptions in the different components of the system, and implementation issues in OpenID components. It is applicable to other SSO systems like OpenID Connect and SAML. All OpenID implementations have been informed about their vulnerabilities and we supported them in fixing the issues

Good images, effective messages? Working with students and educators on academic practice understanding

Work at Northumbria University has focussed on activity that extends opportunities for students to engage directly with the skills development necessary for sound academic practice. This has included highly visual campaigns on the "Plagiarism trap", providing access to Turnitin plagiarism detection software, guides and sessions to highlight use of associated referencing tools. Sessions on a variety of topics, such as supporting study skills and reading originality reports, have been provided for students on taught, undergraduate and postgraduate programmes. This provision has included students working on collaborative partners' sites and also those on research programmes. Alongside the activities with students, "designing out" approaches have been embedded in staff development within the educator community at Northumbria. Formative use of Turnitin is integrated throughout programmes and academic practice development is formally recognised within the University Learning and Teaching Strategy's focus on information literacy. This article outlines and reviews these activities in a critical institutional context and evaluates responses from a variety of students and educators to determine how effective these measures have been

Algorithm-Based Recruiting Technology in the Workplace

Traditional recruiting methods are inefficient and cost employers valuable time, money, and human resources. Additionally, traditional recruiting is subject to the biases and prejudices of a human recruiter. Machine learning, algorithm-based recruiting technology promises to be an efficient and effective solution to employee recruiting by utilizing 21st century technology to engage, screen, and interview top talent. While the promise of algorithm-based deci- sion-making is attractive to many business owners, the practical legal considerations of its use for an ordinary small-to-medium sized employer have not been discussed. Legal scholarship in the area of algorithm-based employment decision making has primarily focused on data-driven unlawful discrimination and proposed government regulation. This Comment fills that gap by providing a summary of algorithm-based recruiting technology, its legal effects, and the best practices for an employer or an unfamiliar employment lawyer interested in adopting algorithm-based recruiting technology

Science in the virtual learning environment as more than online conversation

The asynchronous computer conference still finds itself largely ignored as an effective vehicle for supporting student-centered, collaborative learning experiences. When it is employed the quality of the learning experience varies widely. The literature reports students either unengaged with the medium or overwhelmed by the discussion threads.The online discussion itself tends to take on the nature of an accumulation of independent facts and little peer-to-peer engagement. It is recognised that learning environments in introductory science courses play a crucial role in Higher Education, and dialogic inquiry is understood to play a vital role in the study and understanding of science. According to Biggs “constructively aligned” learning environments in which careful attention is given to the relationship between learning outcomes, learning activities and teaching practice and assessment strategy are supportive of inquiry.Based on a series of introductory online physical science modules, designed and taught by the author for the University of Maryland University College (UMUC), it is shown that an aligned virtual learning environment is feasible and supports deep learning. Key factors instrumental to the successful delivery include clear communication of tutor and student role, ample opportunities for social networking and a range of creative learning activities and meaningful assessment tasks. The asynchronous conference plays a central role in which ideas are not only shared but critically examined and improved. Interaction goes far beyond conversation, reaching a deeper level of collaborative inquiry and ultimately knowledge construction.Science educators are encouraged to incorporate asynchronous conferencing to undergraduate science courses with the aim of fostering collaborative inquiry and critical thinking skills. The case study demonstrates that if the above described features are realised in the online design, the asynchronous conference by default becomes the showplace for knowledge construction from the outset and increasingly the students’ major learning resource3

Diagnostic efficiency of the computerized PTSD scale – multimedia version (CPS-M) in assessing posttraumatic stress disorder

The most commonly used interview for posttraumatic stress disorder (PTSD) is the Clinician-Administered PTSD Scale (CAPS), a semi-structured interview patterned after the DSM-IV criteria (Blake et al., 1990). The Computerized PTSD Scale – Multimedia Version (CPS-M: Richard, Mayo, Bohn, Haynes, & Kolman, 1997) is a computerized interview that is modeled after the CAPS. This study examined how well the CPS-M agreed with the CAPS diagnostically in a clinical sample. Ninety veterans completed the test protocol consisting of paper-and-pencil measures, the CPS-M, and the CAPS interview. Correlations between the CAPS and CPS-M were high at the item, subscale, and full-scale levels. Confidence interval analysis revealed that the CPS-M scales were not significantly different from their CAPS counterparts but failed to establish equivalence. Alpha scores for the scales indicated good internal consistency on both the CAPS and CPS-M. Difference scores between the two instruments were normally distributed, and scale effect sizes were negligible. ROC curve analysis for the CPS-M revealed high diagnostic accuracy. These results present a strong case for more widespread use of the CPS-M in the assessment of PTSD

Developing ecosystem service indicators: experiences and lessons learned from sub-global assessments and other initiatives

People depend upon ecosystems to supply a range of services necessary for their survival and well-being. Ecosystem service indicators are critical for knowing whether or not these essential services are being maintained and used in a sustainable manner, thus enabling policy makers to identify the policies and other interventions needed to better manage them. As a result, ecosystem service indicators are of increasing interest and importance to governmental and inter-governmental processes, including amongst others the Convention on Biological Diversity (CBD) and the Aichi Targets contained within its strategic plan for 2011-2020, as well as the emerging Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES). Despite this growing demand, assessing ecosystem service status and trends and developing robust indicators is o!en hindered by a lack of information and data, resulting in few available indicators. In response, the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), together with a wide range of international partners and supported by the Swedish International Biodiversity Programme (SwedBio)*, undertook a project to take stock of the key lessons that have been learnt in developing and using ecosystem service indicators in a range of assessment contexts. The project examined the methodologies, metrics and data sources employed in delivering ecosystem service indicators, so as to inform future indicator development. This report presents the principal results of this project