Political talk radio and public opinion

This article examines the relationship between listening to political talk radio (Rush Limbaugh in particular) and attitudes toward public figures, groups, and policies. We employ a variety of methods to combat the selection bias inherent in such relationships. We find that listening to Limbaugh is independently associated with attitudes toward issues that Limbaugh emphasizes but shows no independent covariance with attitudes toward salient issues that Limbaugh neglects. Moreover, Limbaugh listening independently corresponds to greater negativity toward Ross Perot, a figure for whom affect cannot be accurately predicted from individual party identification or ideology. Finally, regular listening to Limbaugh predicts substantial change in attitudes from 1994 to 1996, but the effects are substantially muted when the Limbaugh message is positive rather than negative.     

American Ebola Story: frames in U.S. National Newspapers

The 2014 Ebola epidemic saw the first symptomatic and fatal cases of Ebola in the United States. Concurrently, news coverage in U.S. media about Ebola increased. Research has shown that media’s framing of events influences public perception and understanding. To address framing of the Ebola epidemic in the U.S. media, researchers conducted a content analysis of newspaper articles reporting on the Ebola epidemic during the U.S. contact tracing period from September 30 to December 2, 2014 (n = 718). The top three circulating U.S. national newspapers were used in the analysis. The results show that the human interest, conflict, and action frames had the highest presence across newspaper articles, whereas the presence of attribution of responsibility, morality, and economic frames was lower. This study furthers knowledge of U.S. news media framing and coverage of new public health emergencies, and how newspapers may drive audience understanding and perception of the 2014 Ebola epidemic. This study also discusses implications of the findings and suggests directions for future research.     

Rhetoric and Etiological Beliefs About Sexuality: Reader Responses to Cynthia Nixon’s New York Times Interview

In 2012, the U.S. actress Cynthia Nixon was quoted in the New York Times Magazine as having stated that “for me, it [being gay] is a choice. I understand that for many people it’s not, but for me it’s a choice, and you don’t get to define my gayness for me.” The interview attracted international media attention and public criticism by lesbian and gay activists. This article suggests a rhetorical approach to understanding etiological beliefs and provides a discursive analysis of 198 online comments by readers of Pink News, a gay news Web site that reported on Nixon’s controversial interview. This article explores common arguments used in readers’ comments about Nixon and examines the rhetorical construction of sexuality. The analysis examines three themes within the data. First, biological essentialism was treated by many readers as common knowledge; second, readers suggested that only bisexuals have “choice”; and, third, it was suggested by both Nixon’s critics and her supporters that counterarguments colluded with homophobia. The article suggests that there is an ideological dilemma whereby both “born-this-way” and “choice” arguments can be understood as colluding with anti-gay prejudice.     

A Risk‐Based Approach for Identifying Key Economic and Infrastructure Systems

This article introduces approaches for identifying key interdependent infrastructure sectors based on the inventory dynamic inoperability input‐output model, which integrates an inventory model and a risk‐based interdependency model. An identification of such key sectors narrows a policymaker's focus on sectors providing most impact and receiving most impact from inventory‐caused delays in inoperability resulting from disruptive events. A case study illustrates the practical insights of the key sector approaches derived from a value of workforce‐centered production inoperability from Bureau of Economic Analysis data.     

The quality of social security benefit data in the British Family Resources Survey: implications for investigating income support take-up by pensioners

Summary.  Family Resources Survey (FRS) data for April 1997 to March 2000 are used to estimate the take-up of income support (IS) by a subset of pensioners. We scrutinize the quality of FRS data for this purpose and describe a process of identifying and correcting inconsistencies in the data. Comparisons are made, before and after corrections to the data, of take-up estimates, logistic regression take-up models and predictions of take-up responses to changes in IS rates. Overall, the corrections do not have large effects on estimated take-up rates but suggest that non-take-up is marginally less serious than the uncorrected data imply. Logistic regressions using corrected and uncorrected data were in broad agreement on the factors influencing take-up. There were some differences in the scale of these influences, with implications for predictions of take-up responses to changes in the generosity of IS. Desirable improvements in the FRS are identified.     

Measuring density dependence in survival from mark-recapture data

We discuss the analysis of mark-recapture data when the aim is to quantify density dependence between survival rate and abundance. We describe an analysis for a random effects model that includes a linear relationship between abundance and survival using an errors-in-variables regression estimator with analytical adjustment for approximate bias. The analysis is illustrated using data from short-tailed shearwaters banded for 48 consecutive years at Fisher Island, Tasmania, and Hutton's shearwater banded at Kaikoura, New Zealand for nine consecutive years. The Fisher Island data provided no evidence of a density dependence relationship between abundance and survival, and confidence interval widths rule out anything but small density dependent effects. The Hutton's shearwater data were equivocal with the analysis unable to rule out anything but a very strong density dependent relationship between survival and abundance.