Similarity-aware deep attentive model for clickbait detection

© Springer Nature Switzerland AG 2019. Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links. Usually, such links will lead to articles that are either misleading or non-informative, making the detection of clickbait essential for our daily lives. Automated clickbait detection is a relatively new research topic. Most recent work handles the clickbait detection problem with deep learning approaches to extract features from the meta-data of content. However, little attention has been paid to the relationship between the misleading titles and the target content, which we found to be an important clue for enhancing clickbait detection. In this work, we propose a deep similarity-aware attentive model to capture and represent such similarities with better expressiveness. In particular, we present the ways of either using similarity only or integrating it with other available quality features for the clickbait detection. We evaluate our model on two benchmark datasets, and the experimental results demonstrate the effectiveness of our approach by outperforming a series of competitive state-of-the-arts and baseline methods

Video Fragmentation and Reverse Search on the Web

This chapter is focused on methods and tools for video fragmentation and reverse search on the web. These technologies can assist journalists when they are dealing with fake news—which nowadays are being rapidly spread via social media platforms—that rely on the reuse of a previously posted video from a past event with the intention to mislead the viewers about a contemporary event. The fragmentation of a video into visually and temporally coherent parts and the extraction of a representative keyframe for each defined fragment enables the provision of a complete and concise keyframe-based summary of the video. Contrary to straightforward approaches that sample video frames with a constant step, the generated summary through video fragmentation and keyframe extraction is considerably more effective for discovering the video content and performing a fragment-level search for the video on the web. This chapter starts by explaining the nature and characteristics of this type of reuse-based fake news in its introductory part, and continues with an overview of existing approaches for temporal fragmentation of single-shot videos into sub-shots (the most appropriate level of temporal granularity when dealing with user-generated videos) and tools for performing reverse search of a video on the web. Subsequently, it describes two state-of-the-art methods for video sub-shot fragmentation—one relying on the assessment of the visual coherence over sequences of frames, and another one that is based on the identification of camera activity during the video recording—and presents the InVID web application that enables the fine-grained (at the fragment-level) reverse search for near-duplicates of a given video on the web. In the sequel, the chapter reports the findings of a series of experimental evaluations regarding the efficiency of the above-mentioned technologies, which indicate their competence to generate a concise and complete keyframe-based summary of the video content, and the use of this fragment-level representation for fine-grained reverse video search on the web. Finally, it draws conclusions about the effectiveness of the presented technologies and outlines our future plans for further advancing them

Occupational violence and aggression in urgent and critical care in rural health service settings : a systematic review of mixed studies

Rural/remote health services are vulnerable to occupational violence and aggression due to factors such as weapon accessibility, poor network coverage and distance to backup. This systematic review investigated (1) the nature of occupational violence and aggression perpetrated in rural/remote health service urgent care settings and (2) the availability and effectiveness of policies/interventions/recommendations that address occupational violence and aggression in this context. We searched Business Source Complete, CINAHL Complete, Health & Society, APAIS Health, Health Collection, PsycINFO, PubMed, Scopus, SocIndex and Web of Science. Included articles (peer-reviewed, no grey literature and English language) addressed occupational violence and aggression in rural health service urgent care settings. Fifteen articles matched these criteria (total [rural/remote only, where specified] N ~ 2555) and were included in the final analysis. The Mixed Methods Appraisal Tool was applied to assess the risk of bias. A data extraction table and narrative synthesis are presented. The most common occupational violence and aggression type was verbal aggression. The primary perpetrator was patients. Risk factors reflected practitioner age, remoteness, sector, staffing, shift type and area of practice. Precipitating factors were alcohol/drugs, dissatisfaction and mental health conditions. Policy content and limitations and education/training programme effectiveness were not addressed. Community collaboration supported occupational violence and aggression prevention/management. Organisational culture should promote reporting, debriefing and post-incident care for staff well-being. Work environment and job/task design are priorities for safety, but with possible limitations for traumatised clients. Occupational violence and aggression policies/interventions in rural health settings must be systematically evaluated to inform best practices. Co-funded by Swinburne Social Innovation Research Institute Interdisciplinary Seed Funding Scheme and SMART Rural Health Network. © 2022 The Authors. Health and Social Care in the Community published by John Wiley & Sons Ltd

Heterogeneity in cancer guidelines: should we eradicate or tolerate?

Background: Heterogeneity in aspects of development, structure and context of oncology guidelines was not evaluated. We analysed and critically examined its implications. Materials and methods: Nine cancer clinical practice guidelines were selected on the basis of popularity among oncologists. The relevant Web sites and publications on three tumours were examined and characteristics grouped in the data domains: producing organisation, methodology, guideline structure and content, implementation and evaluation and scientific agreement. Results: ASCO, ESMO, NICE, SIGN, START, NHMRC, NCI, NCCN and CCO guidelines were examined. Development was initiated by stakeholders or authorised bodies, run by task forces with varying degrees of multidisciplinarity, with rare endorsement of external guidelines. Recommendation formulation was on the basis of evidence, shaped via interactive processes of expert review and public consultation-based modifications. Guidelines varied in comprehensiveness per tumour type, number, size, format, grading of evidence, update and legal issues. Orientation for clinic use or as reference document, end-users and binding or elective nature also varied. Standard dissemination strategies were used, though evaluation of adoption and of impact on health outcomes was implemented with considerable heterogeneity. Conclusions: Heterogeneity in development, structure, user and end points of guidelines is evident, though necessary in order to meet divergent demands. Crucial for their effectiveness are adherence to methodological standards, a clear definition of what the guideline intends to do for whom and a systematic evaluation of their impact on health car

Students’ Views of a Learning Management System: A Longitudinal Qualitative Study

Over the past decade, Web-based learning management systems, such as Blackboard and WebCT, have been gradually integrated into college education. The strategic use and effectiveness of such systems have been investigated to a large extent. What is less covered is what students really think about such learning management systems. Understanding students’ evaluations can shed light on the development, selection, training, maintenance, use, and investment on such systems. In this paper, we report a longitudinal study that uses a bottom-up approach to gather qualitative data on student views of WebCT 6. Data were collected at three distinctive times that spanned two semesters to reflect students’ different experiences in using WebCT 6. Two different methods were used to collect qualitative data so that students could report their views in unconstrained ways. The content analyses results show that (1) students have an integrated view of their technology assisted learning environment, which can be represented by the notion of S-I-A (the system, the instructors and the administrators); (2) as students’ experience with WebCT 6 increases, their complaints and wishes for instructors and administrators increase; (3) communication-related features continuously dominate students’ views about WebCT 6; and (4) as their use of WebCT 6 increases, students grow more appreciative toward WebCT 6 features that support learning activities. The findings contribute to the literature with additional evidence on the nature and effectiveness of learning management systems. They provide a set of suggestions that should be carefully considered by all personnel involved. We identify a number of research implications. One particular research contribution is the identification of a fifth type of interaction that plays an important role in the technology-assisted learning context: the learner-administrator interaction

Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies

A systematic search of the research literature from 1996 through July 2008 identified more than a thousand empirical studies of online learning. Analysts screened these studies to find those that (a) contrasted an online to a face-to-face condition, (b) measured student learning outcomes, (c) used a rigorous research design, and (d) provided adequate information to calculate an effect size. As a result of this screening, 51 independent effects were identified that could be subjected to meta-analysis. The meta-analysis found that, on average, students in online learning conditions performed better than those receiving face-to-face instruction. The difference between student outcomes for online and face-to-face classes—measured as the difference between treatment and control means, divided by the pooled standard deviation—was larger in those studies contrasting conditions that blended elements of online and face-to-face instruction with conditions taught entirely face-to-face. Analysts noted that these blended conditions often included additional learning time and instructional elements not received by students in control conditions. This finding suggests that the positive effects associated with blended learning should not be attributed to the media, per se. An unexpected finding was the small number of rigorous published studies contrasting online and face-to-face learning conditions for K–12 students. In light of this small corpus, caution is required in generalizing to the K–12 population because the results are derived for the most part from studies in other settings (e.g., medical training, higher education)

How users assess web pages for information-seeking

In this paper, we investigate the criteria used by online searchers when assessing the relevance of web pages for information-seeking tasks. Twenty four participants were given three tasks each, and indicated the features of web pages which they employed when deciding about the usefulness of the pages in relation to the tasks. These tasks were presented within the context of a simulated work-task situation. We investigated the relative utility of features identified by participants (web page content,structure and quality), and how the importance of these features is affected by the type of information-seeking task performed and the stage of the search. The results of this study provide a set of criteria used by searchers to decide about the utility of web pages for different types of tasks. Such criteria can have implications for the design of systems that use or recommend web pages

Native advertising : attitudes, value and purchase intention

textNative-form advertising in the digital space can most easily be defined as promotional content constructed to mimic the form and structure of the website that it is embedded on. With the rise of user generated content and social media, digital native advertising is fast becoming a popular promotional tactic for brands looking to engage with an online audience. This study examines whether this form of advertising significantly impacts consumer attitudes towards the ad, value of the ad and purchase intention of the promoted product across three product categories. Although not significant, results suggest that native advertising positively impacts entertainment- and lifestyle-based products, while information-based service industries, including cyber security, saw a negative reaction from respondents. That said, product category did influence attitude toward the ad and ad value regardless of the ad type. Moreover, a strong positive correlation between product involvement and purchase intention was found, indicating the need to target specific audiences with online native advertising.Advertisin