TV stories : from representation to productivity

This chapter revisits the concept of the ‘bardic function’ (Fiske & Hartley 1978), using historical analysis of the oral bardic institutions to re-theorise it for the era of interactive media and digital storytelling. It shows how ‘representative’ storytelling has transformed into self-representation, and proposes that the ‘bardic function’ can be divided into three types: representative (the ‘Taliesin function’); pedagogic (the ‘Gandalf function’); and self-organised (the ‘eisteddfod function’).

The user-led disruption : self-(re)broadcasting at Justin.tv and elsewhere

The rise of videosharing and self-(re)broadcasting Web services is posing new threats to a television industry already struggling with the impact of filesharing networks. This paper outlines these threats, focussing especially on the DIY re-broadcasting of live sports using Websites such as Justin.tv and a range of streaming media networks built on peer-to-peer filesharing technology.

Increased cardio-metabolic risk is associated with increased TV viewing time

Purpose: Television viewing time, independent of leisure-time physical activity, has cross-sectional relationships with the metabolic syndrome and its individual components. We examined whether baseline and five-year changes in self-reported television viewing time are associated with changes in continuous biomarkers of cardio-metabolic risk (waist circumference, triglycerides, high density lipoprotein cholesterol, systolic and diastolic blood pressure, fasting plasma glucose; and a clustered cardio-metabolic risk score) in Australian adults. Methods: AusDiab is a prospective, population-based cohort study with biological, behavioral, and demographic measures collected in 1999–2000 and 2004–2005. Non-institutionalized adults aged ≥ 25 years were measured at baseline (11,247; 55% of those completing an initial household interview); 6,400 took part in the five-year follow-up biomedical examination, and 3,846 met the inclusion criteria for this analysis. Multiple linear regression analysis was used and unstandardized B coefficients (95% CI) are provided. Results: Baseline television viewing time (10 hours/week unit) was not significantly associated with change in any of the biomarkers of cardio-metabolic risk. Increases in television viewing time over five years (10 hours/week unit) were associated with increases in: waist circumference (cm) (men: 0.43 (0.08, 0.78), P = 0.02; women: 0.68 (0.30, 1.05), P <0.001), diastolic blood pressure (mmHg) (women: 0.47 (0.02, 0.92), P = 0.04), and the clustered cardio-metabolic risk score (women: 0.03 (0.01, 0.05), P = 0.007). These associations were independent of baseline television viewing time and baseline and change in physical activity and other potential confounders. Conclusion: These findings indicate that an increase in television viewing time is associated with adverse cardio-metabolic biomarker changes. Further prospective studies using objective measures of several sedentary behaviors are required to confirm causality of the associations found.

Speaking to each other at last? the ghost of tv past, present and to come...

John Hartley discusses TV past, present and future and concludes that 'This brave new world does have a couple of dystopian elements. One is that no-one knows how to fund non-universal TV production. Another is that any future 'imagined community' will have to get used to the fact that most people aren't inside it.

Violence Profiles on International TV News

Journalism has achieved a crucial importance as a social institution linked with the notion of the public interest. It is still doing so but is nevertheless increasingly challenged by getting networked with the interested publics. This becomes more apparent in times when the media repertoires and audiences as such are changing, when the public relies on more than one news source for the transmission and formulation of world events, but when the importance of TV news nevertheless remains relatively stable. Against this backdrop we may ask what publics contribute to or take away from the new plethora of images and stories saturating the media? This article gives an approximate answer by drawing on a comparative analysis of the present-day presentations of violence on British, German, and Russian television news. Violence in the media is not a new phenomenon, as age-old literary masterpieces like Homer’s Odyssey show, but it is still a very popular one, especially in the news. This article highlights trans-national and national elements in the reporting of violence in three different news cultures. At first glance, both the substantial cross-national violence news flow and the cross-national visual violence flow (key visuals) may be interpreted as distinctly trans-national elements. Event-related textual analysis, however, reveals how the historical rootedness of nations and their specific symbols of power are still very much manifested in respective television mediations of violence. In conclusion, this study recommends the pursuit of conscientious comparisons in journalist research and practice in order to understand what violence news convey in the different arenas of present-day newsmaking.

Independent television production, TV formats and media diversity in China

Beginning around 2003, television studies has seen the growth of interest in the genre of reality shows. However, concentrating on this genre has tended to sideline the even more significant emergence of the program format as a central mode of business and culture in the new television landscape. "Localizing Global TV" redresses this balance, and heralds the emergence of an important, exciting and challenging area of television studies. Topics explored include reality TV, makeover programs, sitcoms, talent shows and fiction serials, as well as broadcaster management policies, production decision chains and audience participation processes. This seminal work will be of considerable interest to media scholars internationally.

A penalty-based genetic algorithm for the composite SaaS placement problem in the cloud

Cloud computing is a latest new computing paradigm where applications, data and IT services are provided over the Internet. Cloud computing has become a main medium for Software as a Service (SaaS) providers to host their SaaS as it can provide the scalability a SaaS requires. The challenges in the composite SaaS placement process rely on several factors including the large size of the Cloud network, SaaS competing resource requirements, SaaS interactions between its components and SaaS interactions with its data components. However, existing applications’ placement methods in data centres are not concerned with the placement of the component’s data. In addition, a Cloud network is much larger than data center networks that have been discussed in existing studies. This paper proposes a penalty-based genetic algorithm (GA) to the composite SaaS placement problem in the Cloud. We believe this is the first attempt to the SaaS placement with its data in Cloud provider’s servers. Experimental results demonstrate the feasibility and the scalability of the GA.

Top Gear, top journalism : three lessons for political journalists from the world's most popular TV show

This article examines the BBC program Top Gear, discussing why it has become one of the world’s most-watched TV programs, and how it has very successfully captivated an audience who might otherwise not be particularly interested in cars. The analysis of the show is here framed in the form of three ‘lessons’ for journalists, suggesting that some of the entertaining (and highly engaging) ways in which Top Gear presents information to its viewers could be usefully applied in the coverage of politics – a domain of knowledge which, like cars, many citizens find abstract or boring.

QoS-oriented sesource allocation and scheduling of multiple composite web services in a hybrid cloud using a random-key genetic algorithm

In cloud computing resource allocation and scheduling of multiple composite web services is an important challenge. This is especially so in a hybrid cloud where there may be some free resources available from private clouds but some fee-paying resources from public clouds. Meeting this challenge involves two classical computational problems. One is assigning resources to each of the tasks in the composite web service. The other is scheduling the allocated resources when each resource may be used by more than one task and may be needed at different points of time. In addition, we must consider Quality-of-Service issues, such as execution time and running costs. Existing approaches to resource allocation and scheduling in public clouds and grid computing are not applicable to this new problem. This paper presents a random-key genetic algorithm that solves new resource allocation and scheduling problem. Experimental results demonstrate the effectiveness and scalability of the algorithm.

A cooperative coevolutionary algorithm for the composite SaaS Placement Problem in the Cloud

Cloud computing has become a main medium for Software as a Service (SaaS) hosting as it can provide the scalability a SaaS requires. One of the challenges in hosting the SaaS is the placement process where the placement has to consider SaaS interactions between its components and SaaS interactions with its data components. A previous research has tackled this problem using a classical genetic algorithm (GA) approach. This paper proposes a cooperative coevolutionary algorithm (CCEA) approach. The CCEA has been implemented and evaluated and the result has shown that the CCEA has produced higher quality solutions compared to the GA.