Corporate cyberstalking:an invitation to build theory

Cyberstalking describes a relatively new form of stalking behaviour where technology is used as the medium of harassment. The term corporate cyberstalking is often used to describe incidents that involve organisations, such as companies and government departments. This paper uses a number of case studies in order to propose a typology of corporate cyberstalking. It is suggested that incidents involving corporate cyberstalking can be divided into two broad groups, depending on whether or not the organisation acts as a stalker or as a victim. Examining the motivations behind corporate cyberstalking allows these groups to be subdidvided further. The motives behind corporate cyberstalking can range from a desire for revenge against an employer to cyberterrorism. The paper also briefly discusses definitions of stalking and cyberstalking, concluding with a revised definition of cyberstalking that is more in keeping with the material discussed.

Managing crisis:the role of primary care for people with serious mental illness

Background and Objectives: More than 30% of patients with serious mental illness in the United Kingdom now receive all their health care solely from primary care. This study explored the process of managing acute mental health crises from the dual perspective of patients and primary care health professionals. Methods: Eighteen focus groups involving 45 patients, 39 general practitioners, and eight practice nurses were held between May and November 2002 in six Primary Care Trusts across the British West Midlands. The topic guide explored perceptions of gold standard care, current issues and critical incidents in receiving/providing care, and ideas on improving services. Results: Themes relevant to the management of acute crisis included issues of process, such as access, advocacy, communication, continuity, and coordination of care; the development of more structured care that might reduce the need for crisis responses; and issues raised by the development of a more structured approach to care. Conclusions: Access to services is a complicated yet crucial feature of managing care in a crisis, with patients identifying barriers at the level of primary care and health professionals at the interface with secondary care. The development of more structured systems as a solution may generate its own ethical and pragmatic challenges.

Cyberstalking:a new challenge for criminal law

Cyberstalking has recently emerged as a new and growing problem and is an area that will probably receive a higher profile within criminal law as more cases reach court (see Griffiths, 1999; Griffiths, Rogers and Sparrow, 1998; Bojic and McFarlane, 2002a; 2002b). For the purposes of this article we define cyberstalking as the use of information and communications technology (in particular the Internet) in order to harass individuals. Such harassment may include actions such as the transmission of offensive e-mail messages, identity theft and damage to data or equipment. Whilst a more comprehensive definition has been presented elsewhere (Bocij and McFarlane, 2002), it is hoped that the definition here is sufficient for those unfamiliar with this field. The stereotypical stalker conjures up images of someone harassing a victim who is the object of their affection. However, not all stalking incidents are motivated by unrequited love. Stalking can also be motivated by hate, a need for revenge, a need for power and/or racism. Similarly, cyberstalking can involve acts that begin with the issuing of threats and end in physical assault. We also make distinctions between conventional stalking and cyberstalking. Whilst some may view cyberstalking as an extension of conventional stalking, we believe cyberstalking should be regarded as an entirely new form of deviant behaviour. It is not surprising that cyberstalking is sometimes thought of as a trivial problem. A number of writers and researchers have suggested that cyberstalking and associated activities are of little genuine concern. Koch (2000), for example, goes as far as accusing those interested in cyberstalking as promoting hysteria over a problem that may be minuscule or even imaginary. The impression gained is that cyberstalking represents a relatively small problem where victims seldom suffer any real harm. Whilst there are no genuinely reliable statistics that can be used to determine how common cyberstalking incidents are, a great deal of evidence is available to show that cyberstalking is a significant and growing problem (Griffiths et al, 1998). For instance, CyberAngels (a well-known Internet safety organization) receives some 500 complaints of cyberstalking each day, of which up to 100 represent legitimate cases (Dean, 2000). Another Internet safety organization (Working to Halt Online Abuse) reports receiving an average of 100 cases per week (WHOA, 2001). To highlight the types of cyberstalking behaviours that take place and some of the major issues facing criminal law, we briefly examine four high profile cases of cyberstalking (adapted from Bocij and MacFarlane, 2002b).

24-Karat or fool’s gold? Consequences of real team and co-acting group membership in healthcare organizations

Although theory on team membership is emerging, limited empirical attention has been paid to the effects of different types of team membership on outcomes. We propose that an important but overlooked distinction is that between membership of real teams and membership of co-acting groups, with the former being characterized by members who report that their teams have shared objectives, and structural interdependence and engage in team reflexivity. We hypothesize that real team membership will be associated with more positive individual- and organizational-level outcomes. These predictions were tested in the English National Health Service, using data from 62,733 respondents from 147 acute hospitals. The results revealed that individuals reporting the characteristics of real team membership, in comparison with those reporting the characteristics of co-acting group membership, witnessed fewer errors and incidents, experienced fewer work related injuries and illness, were less likely to be victims of violence and harassment, and were less likely to intend to leave their current employment. At the organizational level, hospitals with higher proportions of staff reporting the characteristics of real team membership had lower levels of patient mortality and sickness absence. The results suggest the need to clearly delineate real team membership in order to advance scientific understanding of the processes and outcomes of organizational teamwork.

Understanding data collection behaviour of mental health practitioners

Failure to detect patients at risk of attempting suicide can result in tragic consequences. Identifying risks earlier and more accurately helps prevent serious incidents occurring and is the objective of the GRiST clinical decision support system (CDSS). One of the problems it faces is high variability in the type and quantity of data submitted for patients, who are assessed in multiple contexts along the care pathway. Although GRiST identifies up to 138 patient cues to collect, only about half of them are relevant for any one patient and their roles may not be for risk evaluation but more for risk management. This paper explores the data collection behaviour of clinicians using GRiST to see whether it can elucidate which variables are important for risk evaluations and when. The GRiST CDSS is based on a cognitive model of human expertise manifested by a sophisticated hierarchical knowledge structure or tree. This structure is used by the GRiST interface to provide top-down controlled access to the patient data. Our research explores relationships between the answers given to these higher-level 'branch' questions to see whether they can help direct assessors to the most important data, depending on the patient profile and assessment context. The outcome is a model for dynamic data collection driven by the knowledge hierarchy. It has potential for improving other clinical decision support systems operating in domains with high dimensional data that are only partially collected and in a variety of combinations.

Preface

The Semantic Web has come a long way since its inception in 2001, especially in terms of technical development and research progress. However, adoption by non- technical practitioners is still an ongoing process, and in some areas this process is just now starting. Emergency response is an area where reliability and timeliness of information and technologies is of essence. Therefore it is quite natural that more widespread adoption in this area has not been seen until now, when Semantic Web technologies are mature enough to support the high requirements of the application area. Nevertheless, to leverage the full potential of Semantic Web research results for this application area, there is need for an arena where practitioners and researchers can meet and exchange ideas and results. Our intention is for this workshop, and hopefully coming workshops in the same series, to be such an arena for discussion. The Extended Semantic Web Conference (ESWC - formerly the European Semantic Web conference) is one of the major research conferences in the Semantic Web field, whereas this is a suitable location for this workshop in order to discuss the application of Semantic Web technology to our specific area of applications. Hence, we chose to arrange our first SMILE workshop at ESWC 2013. However, this workshop does not focus solely on semantic technologies for emergency response, but rather Semantic Web technologies in combination with technologies and principles for what is sometimes called the "social web". Social media has already been used successfully in many cases, as a tool for supporting emergency response. The aim of this workshop is therefore to take this to the next level and answer questions like: "how can we make sense of, and furthermore make use of, all the data that is produced by different kinds of social media platforms in an emergency situation?" For the first edition of this workshop the chairs collected the following main topics of interest: • Semantic Annotation for understanding the content and context of social media streams. • Integration of Social Media with Linked Data. • Interactive Interfaces and visual analytics methodologies for managing multiple large-scale, dynamic, evolving datasets. • Stream reasoning and event detection. • Social Data Mining. • Collaborative tools and services for Citizens, Organisations, Communities. • Privacy, ethics, trustworthiness and legal issues in the Social Semantic Web. • Use case analysis, with specific interest for use cases that involve the application of Social Media and Linked Data methodologies in real-life scenarios. All of these, applied in the context of: • Crisis and Disaster Management • Emergency Response • Security and Citizen Journalism The workshop received 6 high-quality paper submissions and based on a thorough review process, thanks to our program committee, the decision was made to accept four of these papers for the workshop (67% acceptance rate). These four papers can be found later in this proceedings volume. Three out of four of these papers particularly discuss the integration and analysis of social media data, using Semantic Web technologies, e.g. for detecting complex events in social media streams, for visualizing and analysing sentiments with respect to certain topics in social media, or for detecting small-scale incidents entirely through the use of social media information. Finally, the fourth paper presents an architecture for using Semantic Web technologies in resource management during a disaster. Additionally, the workshop featured an invited keynote speech by Dr. Tomi Kauppinen from Aalto university. Dr. Kauppinen shared experiences from his work on applying Semantic Web technologies to application fields such as geoinformatics and scientific research, i.e. so-called Linked Science, but also recent ideas and applications in the emergency response field. His input was also highly valuable for the roadmapping discussion, which was held at the end of the workshop. A separate summary of the roadmapping session can be found at the end of these proceedings. Finally, we would like to thank our invited speaker Dr. Tomi Kauppinen, all our program committee members, as well as the workshop chair of ESWC2013, Johanna Völker (University of Mannheim), for helping us to make this first SMILE workshop a highly interesting and successful event!

Patient/carers' recollection of medicines related information from an out-patient clinic appointment

AIM: To identify what medicines related information children/young people or their parents/carers are able to recall following an out-patient clinic appointment. METHOD: A convenience sample of patients' prescribed at least one new long-term (>6 weeks) medicine were recruited from a single UK paediatric hospital out-patient pharmacy. A face-to-face semi-structured questionnaire was administered to participants when they presented with their prescription. The questionnaire included the following themes: names of the medicines, therapeutic indication, dose regimen, duration of treatment and adverse effects.The results were analysed using Microsoft Excel 2013. RESULTS: One hundred participants consented and were included in the study. One hundred and forty-five medicines were prescribed in total. Participants were able to recall the names of 96 (66%) medicines and were aware of the therapeutic indication for 142 (97.9%) medicines. The dose regimen was accurately described for 120 (82.8%) medicines with the duration of treatment known for 132 (91%). Participants mentioned that they had been advised about side effects for 44 (30.3%) medicines. Specific counselling points recommended by the BNFc1, were either omitted or not recalled by participants for the following systemic treatments: cetirizine (1), chlorphenamine (1), desmopressin (2), hydroxyzine (2), itraconazole (1), piroxicam (2), methotrexate (1), stiripentol (1) and topiramate (1). CONCLUSION: Following an out-patient consultation, where a new medicine is prescribed, children and their parents/carers are usually able to recall the indication, dose regimen and duration of treatment. Few were able to recall, or were told about, possible adverse effects. This may include some important drug specific effects that require vigilance during treatment.Patients, along with families and carers, should be involved in the decision to prescribe a medicine.2 This includes a discussion about the benefits of the medicine on the patient's condition and possible adverse effects.2 Treatment side effects have been shown to be a factor in treatment non-adherence in paediatric long-term medical conditions.3 Practitioners should explain to patients, and their family members or carers where appropriate, how to identify and report medicines-related patient safety incidents.4 However, this study suggests that medical staff may not be comfortable discussing the adverse effects of medicines with patients or their parents/carers.Further research in to the shared decision making process in the paediatric out-patient clinic when a new long-term medicine is prescribed is required to further support medicines adherence and the patient safety agenda.

Introducing a pilot data collection model for real-time evaluation of data redundancy

In order to reduce serious health incidents, individuals with high risks need to be identified as early as possible so that effective intervention and preventive care can be provided. This requires regular and efficient assessments of risk within communities that are the first point of contacts for individuals. Clinical Decision Support Systems CDSSs have been developed to help with the task of risk assessment, however such systems and their underpinning classification models are tailored towards those with clinical expertise. Communities where regular risk assessments are required lack such expertise. This paper presents the continuation of GRiST research team efforts to disseminate clinical expertise to communities. Based on our earlier published findings, this paper introduces the framework and skeleton for a data collection and risk classification model that evaluates data redundancy in real-time, detects the risk-informative data and guides the risk assessors towards collecting those data. By doing so, it enables non-experts within the communities to conduct reliable Mental Health risk triage.

Teaching about terrorism in the United Kingdom: How it is done and what problems it causes

This article presents some of the findings of research on issues surrounding teaching terrorism and political violence at UK higher education institutions. It reports the results of a survey of UK institutions of higher education on their responses to government and other pressures in relation to terrorism. The data show a minority of universities have developed systems, policies or procedures for ‘preventing violent extremism’, while a significant number have developed close cooperation and collaboration with state counterterrorism policies raising potential issues of academic freedom. This article then examines three high-profile cases – incidents where universities, lecturers and students have come under political and legal pressures over the content of terrorism courses or accusations of ‘radicalisation’ on campus. It suggests that these pressures can be and sometimes are resisted, but that they have on occasion effectively narrowed the scope of academic freedom in practise with the danger that a further chilling effect follows in their wake.