Hot topic detection in news blogs from the perspective of W2T

News blog hot topics are important for the information recommendation service and marketing. However, information overload and personalized management make the information arrangement more difficult. Moreover, what influences the formation and development of blog hot topics is seldom paid attention to. In order to correctly detect news blog hot topics, the paper first analyzes the development of topics in a new perspective based on W2T (Wisdom Web of Things) methodology. Namely, the characteristics of blog users, context of topic propagation and information granularity are unified to analyze the related problems. Some factors such as the user behavior pattern, network opinion and opinion leader are subsequently identified to be important for the development of topics. Then the topic model based on the view of event reports is constructed. At last, hot topics are identified by the duration, topic novelty, degree of topic growth and degree of user attention. The experimental results show that the proposed method is feasible and effective.

The new normativity : the innovation imperative

At a quite fundamental level, the very way in which Public Service Broadcasting (PSB) may envisage its future usually captured in the semantic shift from PSB to Public Service Media (PSM) is at stake when considering the recent history of public value discourse and the public value test. The core Reithian PSB idea assumed that public value would be created through the application of core principles of universality of availability and appeal, provision for minorities, education of the public, distance from vested interests, quality programming standards, program maker independence, and fostering of national culture and the public sphere. On the other hand, the philosophical import of the public value test is that potentially any excursion into the provision of new media services needs to be justified ex ante. In this era of New Public Management, greater transparency and accountability, and the proposition that resources for public value deliverables be contestable and not sequestered in public sector institutions, what might be the new Archimedean point around which a contemporised normativity for PSM be built? This paper will argue for the innovation imperative as an organising principle for contemporary PSM. This may appear counterintuitive, as it is precisely PSB’s predilection for innovating in new media services (in online, mobile, and social media) that has produced the constraining apparatus of the ex ante/public value/Drei-Stufen-Test in Europe, based on principles of competitive neutrality and transparency in the application of public funds for defined and limited public benefit. However, I argue that a commitment to innovation can define as complementary to, rather than as competitive ‘crowding out’, the new products and services that PSM can, and should, be delivering into a post-scarcity, superabundant all-media marketplace. The evidence presented in this paper for this argument is derived mostly from analysis of PSM in the Australian media ecology. While no PSB outside Europe is subject to a formal public value test, the crowding out arguments are certainly run in Australia, particularly by powerful commercial interests for whom free news is a threat to monetising quality news journalism. Take right wing opinion leader, herself a former ABC Board member, Judith Sloan: ‘… the recent expansive nature of the ABC – all those television stations, radio stations and online offerings – is actually squeezing activity that would otherwise be undertaken by the private sector. From partly correcting market failure, the ABC is now causing it. We are now dealing with a case of unfair competition and wasted taxpayer funds’ (The Drum, 1 August http://www.abc.net.au/unleashed/2818220.html). But I argue that the crowding out argument is difficult to sustain in Australia because of the PSB’s non-dominant position and the fact that much of innovation generated by the two PSBs, the ABC and the SBS, has not been imitated by or competed for by the commercials. The paper will bring cases forward, such as SBS’ Go Back to Where you Came From (2011) as an example of product innovation, and a case study of process and organisational innovation which also has resulted in specific product and service innovation – the ABC’s Innovation Unit. In summary, at least some of the old Reithian dicta, along with spectrum scarcity and market failure arguments, have faded or are fading. Contemporary PSM need to justify their role in the system, and to society, in terms of innovation.

Extracting news blog hot topics based on the W2T methodology

Although topic detection and tracking techniques have made great progress, most of the researchers seldom pay more attention to the following two aspects. First, the construction of a topic model does not take the characteristics of different topics into consideration. Second, the factors that determine the formation and development of hot topics are not further analyzed. In order to correctly extract news blog hot topics, the paper views the above problems in a new perspective based on the W2T (Wisdom Web of Things) methodology, in which the characteristics of blog users, context of topic propagation and information granularity are investigated in a unified way. The motivations and features of blog users are first analyzed to understand the characteristics of news blog topics. Then the context of topic propagation is decomposed into the blog community, topic network and opinion network, respectively. Some important factors such as the user behavior pattern, opinion leader and network opinion are identified to track the development trends of news blog topics. Moreover, a blog hot topic detection algorithm is proposed, in which news blog hot topics are identified by measuring the duration, topic novelty, attention degree of users and topic growth. Experimental results show that the proposed method is feasible and effective. These results are also useful for further studying the formation mechanism of opinion leaders in blogspace.

Managing peripheral intravenous devices in the adults' general surgical setting: a best practice implementation report

AIM The aim of this evidence-based practice (EBP) project was to promote adherence to the current best practice in monitoring and optimal replacement of peripheral intravenous device (PIVD). METHODS This EBP project took place in a 30-bed acute general surgical ward. Twenty in-patients with PIVD in situ for 4 days or more were recruited. There were five stages in the project: identification of EBP topic, criteria, sample and setting; baseline; dissemination of baseline audit results and identification of best practice barriers; identification of barriers to EBP and implementation of strategies promoting EBP; and postimplementation audit. RESULTS There were eight criteria in this project. The first audit showed moderate compliance in PIVD monitoring and optimal replacement. The project identified three barriers: lack of awareness of the current evidence-based guidelines, hospital policy not being aligned with current guidelines and no standard form of documentation. In order to overcome these barriers the following strategies were used: audit and feedback, interactive educational meetings, reminders and hospital policy change. The second audit showed minor improvements in each criterion. Compliance with documentation remained a challenge, possibly because of the lack of standardised documentation. DISCUSSION Although the project did not render us the results we aimed for, it was successful because it highlighted the current EBP in PIVD management. The major challenges of the project were time and the lack of opinion leaders in our project team. We felt that more time was needed to adapt to the practice change and standardised documentation could not be developed in such a short time period. Further, the role of the opinion leader proved to be vital in this project. We felt that had we recruited more than one opinion leader, the results would have been different.

Marketing to change public opinion on climate change : a case study

Corporate advertisers spend far greater budgets than any social marketing campaign and have great potential to change public opinion on the urgent need for action on climate change. However “green-washing” has become a widespread practice by companies that wish to appear to be socially responsible without a genuine commitment and consumers can be very cynical about green marketing campaigns. Can companies be climate change advocates and still satisfy shareholders? This paper offers a case study on an Australian insurance company that argues it can make money from doing the right thing.

Critical opinion : the Docklands Precinct

Every one and their dog has done a Docklands design studio at university if they were educated in Melbourne. And all designers have an opinion on the idea of Docklands and its potential in the future, but few, apart from the Docklands authority themselves, have a handle on what's going on there now and what constitutes its qualities.

State-of-the-Art Review on Opinion Mining from Online Customers’ Feedback

Dealing with the ever-growing information overload in the Internet, Recommender Systems are widely used online to suggest potential customers item they may like or find useful. Collaborative Filtering is the most popular techniques for Recommender Systems which collects opinions from customers in the form of ratings on items, services or service providers. In addition to the customer rating about a service provider, there is also a good number of online customer feedback information available over the Internet as customer reviews, comments, newsgroups post, discussion forums or blogs which is collectively called user generated contents. This information can be used to generate the public reputation of the service providers’. To do this, data mining techniques, specially recently emerged opinion mining could be a useful tool. In this paper we present a state of the art review of Opinion Mining from online customer feedback. We critically evaluate the existing work and expose cutting edge area of interest in opinion mining. We also classify the approaches taken by different researchers into several categories and sub-categories. Each of those steps is analyzed with their strength and limitations in this paper.

Inducing shades of meaning by matrix methods : a first step towards thematic analysis of opinion

This article explores two matrix methods to induce the ``shades of meaning" (SoM) of a word. A matrix representation of a word is computed from a corpus of traces based on the given word. Non-negative Matrix Factorisation (NMF) and Singular Value Decomposition (SVD) compute a set of vectors corresponding to a potential shade of meaning. The two methods were evaluated based on loss of conditional entropy with respect to two sets of manually tagged data. One set reflects concepts generally appearing in text, and the second set comprises words used for investigations into word sense disambiguation. Results show that for NMF consistently outperforms SVD for inducing both SoM of general concepts as well as word senses. The problem of inducing the shades of meaning of a word is more subtle than that of word sense induction and hence relevant to thematic analysis of opinion where nuances of opinion can arise.

Employee engagement : the development of a three dimensional model of engagement; and an exploration of its relationship with affective leader behaviours

This study was designed to examine affective leader behaviours, and their impact on cognitive, affective and behavioural engagement. Researchers (e.g., Cropanzano & Mitchell, 2005; Moorman et al., 1998) have called for more research to be directed toward modelling and testing sets of relationships which better approximate the complexity associated with contemporary organisational experience. This research has attempted to do this by clarifying and defining the construct of engagement, and then by examining how each of the engagement dimensions are impacted by affective leader behaviours. Specifically, a model was tested that identifies leader behaviour antecedents of cognitive, affective and behavioural engagement. Data was collected from five public-sector organisations. Structural equation modelling was used to identify the relationships between the engagement dimensions and leader behaviours. The results suggested that affective leader behaviours had a substantial direct impact on cognitive engagement, which in turn influenced affective engagement, which then influenced intent to stay and extra-role performance. The results indicated a directional process for engagement, but particularly highlighted the significant impact of affective leader behaviours as an antecedent to engagement. In general terms, the findings will provide a platform from which to develop a robust measure of engagement, and will be helpful to human resource practitioners interested in understanding the directional process of engagement and the importance of affective leadership as an antecedent to engagement.

How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabiesPetrogale penicillata

1. Species' distribution modelling relies on adequate data sets to build reliable statistical models with high predictive ability. However, the money spent collecting empirical data might be better spent on management. A less expensive source of species' distribution information is expert opinion. This study evaluates expert knowledge and its source. In particular, we determine whether models built on expert knowledge apply over multiple regions or only within the region where the knowledge was derived. 2. The case study focuses on the distribution of the brush-tailed rock-wallaby Petrogale penicillata in eastern Australia. We brought together from two biogeographically different regions substantial and well-designed field data and knowledge from nine experts. We used a novel elicitation tool within a geographical information system to systematically collect expert opinions. The tool utilized an indirect approach to elicitation, asking experts simpler questions about observable rather than abstract quantities, with measures in place to identify uncertainty and offer feedback. Bayesian analysis was used to combine field data and expert knowledge in each region to determine: (i) how expert opinion affected models based on field data and (ii) how similar expert-informed models were within regions and across regions. 3. The elicitation tool effectively captured the experts' opinions and their uncertainties. Experts were comfortable with the map-based elicitation approach used, especially with graphical feedback. Experts tended to predict lower values of species occurrence compared with field data. 4. Across experts, consensus on effect sizes occurred for several habitat variables. Expert opinion generally influenced predictions from field data. However, south-east Queensland and north-east New South Wales experts had different opinions on the influence of elevation and geology, with these differences attributable to geological differences between these regions. 5. Synthesis and applications. When formulated as priors in Bayesian analysis, expert opinion is useful for modifying or strengthening patterns exhibited by empirical data sets that are limited in size or scope. Nevertheless, the ability of an expert to extrapolate beyond their region of knowledge may be poor. Hence there is significant merit in obtaining information from local experts when compiling species' distribution models across several regions.