EDUCATING THE PUBLIC THROUGH NEWS MEDIA: CASE STUDIES OF NEWS LITERACY IN THE NEW MEDIA LANDSCAPE

Two decades of unprecedented changes in the media landscape have increased the complexity of informing the public through news media. With significant changes to the way the news industry does business and the way news consumers access this information, a new set of skills is being proposed as essential for today’s news consumer. News literacy is the use of critical thinking skills to assess the reliability and source of the information that people consume on a daily basis, as well as fostering self-awareness of personal news consumption habits and how it can create audience bias. The purpose of this study was to examine how adults experience the news in their everyday lives and to describe the nature of the news literacy skills people employ in their daily news consumption. This study purposefully selected four adults who have completed high school, and who regularly consume news information across a number of platforms, both traditional and digital. Two of the participants, one man and one woman, were over 50 years old. One other male participant was in his 30’s and the final participant, a young woman, was in her 20’s. They all utilized both traditional and digital media on a regular basis and all had differing skill levels when using social media for information. Their news experiences were documented by in-depth interviews and the completion of seven daily news logs. In their daily logs the participants differentiated news information from other information available on-line but the interviews revealed a contradiction between their intentions and their news consumption practices. All four participants had trouble distinguishing between news and opinion pieces in the news information realm. In addition all but one seemed unaware of their personal bias and any possible effect it was having on their news consumption. Further research should explore the benefits of an adult-centered news literacy curriculum on news consumers similar to the participants, and should examine the development of audience bias and its relationship to the daily exposure people have to the torrent of information that is available to them on a daily basis.

Black and Blue: Exploring Racial Bias and Law Enforcement in the Killings of Unarmed Black Male Civilians

In late 2014, a series of highly publicized police killings of unarmed Black male civilians in the United States prompted large-scale social turmoil. In the current review, we dissect the psychological antecedents of these killings and explain how the nature of police work may attract officers with distinct characteristics that may make them especially well-primed for negative interactions with Black male civilians. We use media reports to contextualize the precipitating events of the social unrest as we ground our explanations in theory and empirical research from social psychology and industrial and organizational (I/O) psychology. To isolate some of the key mechanisms at play, we disentangle racial bias (e.g., stereotyping processes) from common characteristics of law enforcement agents (e.g., social dominance orientation), while also addressing the interaction between racial bias and policing. By separating the moving parts of the phenomenon, we provide a more fine-grained analysis of the factors that may have contributed to the killings. In doing so, we endeavor to more effectively identify and develop solutions to eradicate excessive use of force during interactions between “Black” (unarmed Black male civilians) and “Blue” (law enforcement).

Reptile responses to fire and the risk of post-disturbance sampling bias

Altered fire regimes are a driver of biodiversity decline. To plan effective management, we need to know how species are influenced by fire and to develop theory describing fire responses. Animal responses to fire are usually measured using methods that rely on animal activity, but animal activity may vary with time since fire, potentially biasing results. Using a novel approach for detecting bias in the pit-fall trap method, we found that leaf-litter dependent reptiles were more active up to 6 weeks after fire, giving a misleading impression of abundance. This effect was not discovered when modelling detectability with zero-inflated binomial models. Two species without detection bias showed early-successional responses to time since fire, consistent with a habitat-accommodation succession model. However, a habitat specialist did not have the predicted low abundance after fire due to increased post-fire movement and non-linear recovery of a key habitat component. Interactions between fire and other processes therefore must be better understood to predict reptile responses to changing fire-regimes. We conclude that there is substantial bias when trapping reptiles after fire, with species that are otherwise hard to detect appearing to be abundant. Studies that use a survey method based on animal activity such as bird calls or animal movements, likely face a similar risk of bias when comparing recently-disturbed with control sites.

A second order control-volume finite-element least-squares strategy for simulating diffusion in strongly anisotropic media

An unstructured mesh �nite volume discretisation method for simulating di�usion in anisotropic media in two-dimensional space is discussed. This technique is considered as an extension of the fully implicit hybrid control-volume �nite-element method and it retains the local continuity of the ux at the control volume faces. A least squares function recon- struction technique together with a new ux decomposition strategy is used to obtain an accurate ux approximation at the control volume face, ensuring that the overall accuracy of the spatial discretisation maintains second order. This paper highlights that the new technique coincides with the traditional shape function technique when the correction term is neglected and that it signi�cantly increases the accuracy of the previous linear scheme on coarse meshes when applied to media that exhibit very strong to extreme anisotropy ratios. It is concluded that the method can be used on both regular and irregular meshes, and appears independent of the mesh quality.

Correcting for bias when estimating the cost of hospital-acquired infection : an analysis of lower respiratory tract infections in non-surgical patients

Hospital acquired infections (HAI) are costly but many are avoidable. Evaluating prevention programmes requires data on their costs and benefits. Estimating the actual costs of HAI (a measure of the cost savings due to prevention) is difficult as HAI changes cost by extending patient length of stay, yet, length of stay is a major risk factor for HAI. This endogeneity bias can confound attempts to measure accurately the cost of HAI. We propose a two-stage instrumental variables estimation strategy that explicitly controls for the endogeneity between risk of HAI and length of stay. We find that a 10% reduction in ex ante risk of HAI results in an expected savings of £693 ($US 984).