Ethical issues in pro‐social advertising: the Australian 2006 White Ribbon Day campaign

• The Australian White Ribbon Day 2006 campaign was severely criticized by mental health professionals and those working in the family and domestic violence sector because of depictions of suicide and self‐harm in the television advertisement and accompanying promotional materials. The White Ribbon Day (WRD) National Leadership Group (NLG) rejected all requests by concerned groups to not use these campaign materials. They and their apologists claimed that such violent imagery was necessary to attract men's attention and was being misinterpreted as depicting suicide attempts.
• With preliminary ethics approval we set out to assess reactions to the television advertisement. After 24 interviews, the testing was terminated by the university research ethics officer after two male respondents demonstrated significant distress after viewing the ad. Furthermore, the results by that stage showed that there were perceived messages of suicide in the ad. These results were sent to the WRD NLG with a request to reconsider proceeding with the television advertisement and associated materials. Mental health and domestic violence organizations lodged similar requests. All requests were rejected. The case raises a number of ethical issues for pro‐social organizations when dealing with sensitive issues and using execution techniques that may impact negatively on vulnerable audiences.

Copyright © 2009 John Wiley & Sons, Ltd.     

Should algorithms be regulated by government?

There has been, and continues to be, an explosion in the use of algorithms across the economy and society. There are growing concerns about how algorithms are being used and whether they are accountable. This article reviews the literature on the issue of algorithms in several key areas, such as fairness, accountability, and transparency. The article examines arguments on why algorithms should be regulated, and it explores the available literature to identify how a potential Canadian regulatory framework may be developed.     

Does Familiarity Breed Contempt? The Impact of Information on Mass Attitudes toward Congress

Two features of citizen response to Congress can be taken as grounds for concern. First, Americans know relatively little about Congress, and especially about congressional procedures and policy output. Second, Congress typically emerges as the least respected political institution. Although these matters are troubling when viewed individually, more disturbing is the dilemma posed when knowledge and attitudes toward Congress are viewed in tandem. It appears that citizens who know Congress the best like Congress the least. Consequently, a sophisticated polity and a well-respected legislature seem fundamentally incompatible. This article seeks to resolve this dilemma, contending that there is nothing about knowledge per se that leads citizens to view Congress unfavorably. Rather, differences in knowledge levels alter the considerations citizens bring to bear when evaluating Congress, with the best-informed individuals constructing judgments on the basis of the most relevant Congress-specific criteria while less knowledgeable citizens employ readily available but more peripheral criteria.     

Unanimity, Discord, and the Communication of Public Opinion

This article is concerned with the political communication of opinion that occurs through networks of associated citizens. Its primary attention focuses on opinion variance within populations and networks and how such variance affects communication among and between individuals. Particularly in the context of ambiguous or infrequent communication, people may experience difficulty in forming judgments regarding the opinions of others. In such situations, environmental priors become useful devices for reaching these judgments, but a problem arises related to the utility of these environmental priors when discord rather than unanimity characterizes the contextual distribution of opinion. The article's argument is that dyadic discussions between two citizens are most enlightening, and environmental priors least enlightening, when surrounding opinion is marked by higher levels of disagreement. The analyses are based on data taken from the 1996 Indianapolis-St. Louis study .     

Developments in the Law: Garcetti v. Ceballos and the Workplace Freedom of Speech Rights of Public Employees

On May 30, 2006 the Supreme Court handed down a 5–4 decision in the case of Garcetti v. Ceballos, announcing that "when public employees make statements pursuant to their official duties, they are not speaking as citizens for First Amendment purposes, and the Constitution does not insulate their communications from employer discipline." Previously, the Court had held in Pickering v. Board of Education (1968) that the First Amendment's protection of freedom of speech generally prohibited public employers from firing or disciplining employees for speaking out on matters of "public concern." The Pickering decision established a two-part test that first required federal courts to determine whether the employee had spoken out on a matter of public concern and then whether the disruptive impact of the employee's statement justified the disciplinary action. This article argues that the Garcetti decision may deter many public employees from disclosing governmental inefficiency and misconduct and presenting dissenting viewpoints on matters of clear public concern. Consequently, the decision may make it more difficult for the leadership of public agencies to uncover inefficiency and misconduct.     

On the value of formal assessment of uncertainty in regulatory analysis

The US Office of Management and Budget introduced in 2003 a new requirement for the treatment of uncertainty in Regulatory Impact Analyses (RIAs) of proposed regulations, requiring agencies to carry out a formal quantitative uncertainty assessment regarding a regulation’s benefits and costs if either is expected to reach $1 billion annually. Despite previous use in other contexts, such formal assessments of uncertainty have rarely been employed in RIAs or other regulatory analyses. We describe how formal quantitative assessments of uncertainty – in particular, Monte Carlo analyses – can be conducted, we examine the challenges and limitations of such analyses in the context of RIAs, and we assess how the resulting information can affect the evaluation of regulations. For illustrative purposes, we compare Monte Carlo analysis with methods typically used in RIAs to evaluate uncertainty in the context of economic analyses carried out for the US Environmental Protection Agency’s Nonroad Diesel Rule, which became effective in 2004.