Eating Meat and Climate Change: The Media Blind Spot—A Study of Spanish and Italian Press Coverage

There is strong evidence that a meat and dairy-based diet is a very important contributor to climate change. However, the correlation between the production and consumption of livestock and anthropogenic climate change has received minimal media coverage. The literature for English-speaking countries shows a sort of media blind spot for meat in that the news media barely address, or do not address, the responsibility of individuals' dietary choices with regard to this issue. In this paper, we provide data for press coverage in Southern Europe from a sample of the top 10 Spanish and Italian newspapers for a seven-year period (2006–2013). Data from our samples correlate with findings from previous studies. However, our comparative study suggests that there are also meaningful differences between both countries studied while their alleged Mediterranean dietary background makes no difference in terms of ethical or dietary sensitivity.     

Using fuzzy set theory to address the uncertainty of susceptibility to drought

This paper presents the technical aspects of a new methodology for assessing the susceptibility of society to drought. The methodology consists of a combination of inference modelling and fuzzy logic applications. Four steps are followed: (1) model input variables are selected—these variables reflect the main factors influencing susceptibility in a social group, population or region, (2) fuzzification—the uncertainties of the input variables are made explicit by representing them as ‘fuzzy membership functions’, (3) inference modelling—the input variables are used to construct a model made up of linguistic rules, and (4) defuzzification—results from the model in linguistic form are translated into numerical form, also through the use of fuzzy membership functions. The disadvantages and advantages of this methodology became apparent when it was applied to the assessment of susceptibility from three disciplinary perspectives: Disadvantages include the difficulty in validating results and the subjectivity involved with specifying fuzzy membership functions and the rules of the inference model. Advantages of the methodology are its transparency, because all model assumptions have to be made explicit in the form of inference rules; its flexibility, in that informal and expert knowledge can be incorporated through ‘fuzzy membership functions’ and through the rules in the inference model; and its versatility, since numerical data can be converted to linguistic statements and vice versa through the procedures of ‘fuzzification’ and ‘defuzzification’.     

Portraying the Perils to Polar Bears: The Role of Empathic and Objective Perspective-taking Toward Animals in Climate Change Communication

Images of animals, particularly polar bears, harmed by climate change are often used in environmental campaigns, despite warnings of potential reactance and resultant perceived distance from the issue. As an alternative to these emotional appeals, environmental campaigns could encourage an objective (i.e., emotionally detached) perspective on climate change impacts. The present research tests the effects of a message that encourage empathic vs. objective perspectives toward polar bears harmed by climate change on emotions and subsequent support for climate change activism among 241 American adults through an online survey. Contrary to popular warnings, the present research found no reactance toward portraying harm to polar bears from climate change and no benefits of taking an objective perspective toward the polar bears. Instead, portrayals of polar bears harmed by climate change motivated both environmentalists and non-environmentalists to donate money to environmental activist groups when they took an empathic perspective toward the animals. Empathy and hope explain effects for environmentalists and empathy, hope, worry, personal guilt, and boredom explain effects for non-environmentalists.