Search results
1 – 10 of 70This chapter examines how established media – that is, print, TV and radio sources which pre-existed the popularisation of social media – use social media to disseminate content…
Abstract
This chapter examines how established media – that is, print, TV and radio sources which pre-existed the popularisation of social media – use social media to disseminate content. Specifically it examines the manner in which three UK media sources – BBC News, The Guardian and the Daily Mail – used Twitter during the 2014–2015 Ebola crisis. It asks five key questions concerning: the balance between factual reporting and opinion or comment; the degree to which it shifted attention to specific events within the context of the outbreak; whether the dialogical potential of social media was exploited; the degree to which social media acted as a signpost to more detailed information elsewhere, or existed as independent content; and the degree of media reflexivity. It concludes that established media used this new technology within their existing paradigms for reporting rather than exploiting some of its more innovative characteristics.
Details
Keywords
Harald Hornmoen and Colin McInnes
The chapter provides recommendations for key communicators’ social media use during pandemic threats. Recommendations are based on findings from two sets of case studies during…
Abstract
The chapter provides recommendations for key communicators’ social media use during pandemic threats. Recommendations are based on findings from two sets of case studies during the 2014–2015 outbreak of Ebola in West Africa: the use by authorities in UK and Norway during the 2014–2015 West African Ebola outbreak; and the use by established media in the UK.
Details
Keywords
Volker Stocker, William Lehr and Georgios Smaragdakis
The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that…
Abstract
The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.
Details
Keywords
Christian Versloot, Maria Iacob and Klaas Sikkel
Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed…
Abstract
Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.
Details
Keywords
S. J. Oswald A. J. Mascarenhas
Building trust and living interpersonal trust are crucial corporate executive virtues that are needed today. Once you have developed and solidified a high level of genuine…
Abstract
Executive Summary
Building trust and living interpersonal trust are crucial corporate executive virtues that are needed today. Once you have developed and solidified a high level of genuine interpersonal trust with all your stakeholders, especially customers, suppliers, and employees, then you are on the right path of managing and transforming your company. A high level of interpersonal trust between all stakeholders and corporates in a business situation will break down communication barriers, foster serious conversation and sharing of ideas, and will eliminate corporate transactional anxieties of fear, mistrust, guilt, rigidity, blame, and resentment. When stakeholders trust you and you trust them, then you speak freely, they speak freely, and your mutual sustained transparency is a gateway to survival, revival, and sustained corporate recovery and transformation, and steady growth and prosperity. Conversely, when there is low trust, high mistrust, and high distrust among stakeholders in a business situation, communications and conversations are stressed and fragmented, teamwork and team spirit are very low, and the company is heading toward its ruin and extermination. Such is the crucial role of interpersonal trust in business. This chapter explores the crucial phenomenon of corporate interpersonal trust. We review various cases, models, concepts, definitions, and theories of trust from the management literature in general, and from the marketing field in particular, to derive psychological, behavioral, ethical, and moral principles of corporate trust, trusting relations, and trusting strategies.
Women who use drugs are one of the most maligned, misunderstood and maltreated groups in contemporary culture and society. Despite this, little public outcry nor empathy is given…
Abstract
Women who use drugs are one of the most maligned, misunderstood and maltreated groups in contemporary culture and society. Despite this, little public outcry nor empathy is given. As a woman who uses drugs, the author examines what lies behind this neglect. A post-structuralist approach is taken in order to examine the categories of meaning assigned to bodies under the twin ruling structures of prohibition and patriarchy. This is done with the intent to better understand and challenge the process of (masculinist) knowledge-making and practices surrounding women who use drugs that treats us as mere objects of knowledge. Furthermore, this chapter draws from feminist auto-ethnography, as the author uses own personal experiences as a woman who uses drugs, a feminist and a drug user advocate as a lens through which to give form to this analysis. Ultimately, the author argue that it is time to let go of outdated, unjust and prejudicial images by challenging established norms and practices, test and apply new theories and negotiate different identities outside of those currently available to women who use drugs. In undertaking this piece, the author hopes that the critical reflections contained within this chapter can ‘cause some trouble’, by being politically useful for the growing movement surrounding women who use drugs.