Revisiting Impartiality: Social Media and Journalism at The BBC

This article contributes to the literature of news production studies by providing a powerful example of how processes of deliberation bring change to journalism. It explores the reconstruction of impartiality using the single case‐study of social media in the British Broadcasting Corporation (BBC) international journalism. In this case‐study, symbolic interactionism and mesostructure analysis enable us to explore social organizations and social processes, placing them in larger embedded contexts (structural, historical, and mode of action) and extended temporality. Following D. L. Altheide's (1996) ecology of communication framework, this study on BBC impartiality demonstrates that in the newsroom, techies have responded strategically to the logic of their environment. Techies have joined in the process of the new symbolic architecture of impartiality, which has transformed news agenda‐setting. This new logic, ushered in by techies, has shaped editorial decisions at the public broadcaster. This article discusses how social media have contributed to the nature, organization, and consequences of communication activities of the BBC.     

Books received as of April 30, 1985

This research focuses on insiders’ views of marital sex and their dyadic patterning. The analyses were conducted based on seventy‐two (72) couples’ assessments of their recent sexual interactions. Non‐genital and genital activities were assessed as a function of the respondents’ and the actors’ gender, and as a function of constructs that were specific to the marital partners as individuals and as a marital dyad. Consistent differences were found between husbands’ and wives’ perceptions of discrepancies within their couple. Regardless of respondents’ gender, couples reported that wives were genitally less active than husbands and that this was in accordance with the wives’ preferences. The results are discussed with respect to the advantages of using a dyadic methodology for measuring dimensions of sex which involve interpersonal behaviors.     

Far‐Right Framing Processes on Social Media: The Case of the Canadian and Quebec Chapters of Soldiers of Odin

In recent years, Canada has witnessed an increase in visibility of far‐right groups and activities. This phenomenon is particularly interesting as it contrasts with the broader Canadian context of acceptance of immigrants and support for multiculturalism. How do far‐right groups represent themselves and their claims to the public considering the dominant discursive environment in which they operate? Moreover, are far‐right groups’ discourse and rhetoric marked by contextual differences? This paper analyzes the way the distinct Canadian and Quebec chapters of the vigilante group Soldiers of Odin (SOO) use their public Facebook pages, comparatively. This research demonstrates that both SOO chapters negotiate their self‐representation by employing cultural elements that are salient and meaningful in their respective sociopolitical contexts and that can be exploited to infer motivations.     

An automatic robust Bayesian approach to principal component regression

Principal component regression uses principal components (PCs) as regressors. It is particularly useful in prediction settings with high-dimensional covariates. The existing literature treating of Bayesian approaches is relatively sparse. We introduce a Bayesian approach that is robust to outliers in both the dependent variable and the covariates. Outliers can be thought of as observations that are not in line with the general trend. The proposed approach automatically penalises these observations so that their impact on the posterior gradually vanishes as they move further and further away from the general trend, corresponding to a concept in Bayesian statistics called whole robustness. The predictions produced are thus consistent with the bulk of the data. The approach also exploits the geometry of PCs to efficiently identify those that are significant. Individual predictions obtained from the resulting models are consolidated according to model-averaging mechanisms to account for model uncertainty. The approach is evaluated on real data and compared to its nonrobust Bayesian counterpart, the traditional frequentist approach and a commonly employed robust frequentist method. Detailed guidelines to automate the entire statistical procedure are provided. All required code is made available, see ArXiv:1711.06341.     

RECIPROCITY UNDER BRIEF AND LONG-TIME DELAYS

We report the results from three experiments embedded in the same overarching design, which extends the Gift Exchange paradigm for the study of worker–employer relationships. We focus on the effect of the length of the delay, between the time at which workers learn their wage and when they choose an effort level, on the relationship between wage and effort. We compare effort choices made within a few hours with those made several weeks afterward. We find that the strength of the wage-effort relationship decreases over time, and this change appears to be driven by workers who receive low wages. (JEL C91, J33, M52)     

Semiparametric distribution forecasting

Given m time series regression models, linear or not, with additive noise components, it is shown how to estimate semiparametrically the predictive probability distribution of one of the time series conditional on past random covariate data. This is done by assuming that the distributions of the residual components associated with the regression models are tilted versions of a reference distribution.     

Psychosocial Profile of Children Having Participated in an Intervention Program for Their Sexual Behavior Problems: The Predictor Role of Maltreatment

This study sought to verify if a history of maltreatment may predict the psychosocial profile of children who participated in an intervention program aiming at reducing sexual behavior problems. Data were collected at both the beginning and the end of the intervention program using a clinical protocol and standardized tests selected on the basis of the intervention targets. In general, the results indicate that children who had experienced maltreatment display a psychosocial profile that is similar to that of children who had not experienced maltreatment. However, children who had experienced psychological abuse or neglect may display greater externalized or sexualized behaviors, whereas children who have a parent who had been a victim of sexual abuse may display fewer sexualized behaviors.