Suchergebnisse

Political debates are important message forms, capable of informing and in-fluencing voters. However, news coverage of debates informs and influences both those who watch, and those who do not watch, the debates. This study compared the content (functions and topics) of 10 U.S. Senate debates from 1998-2004 with the content of newspaper articles about those particular debates. Newspaper coverage of debates was significantly more negative than the debates themselves, reporting a higher percentage of attacks and a smaller percentage of acclaims than the candidates employed. The newspaper articles also stressed character more, and policy less, than the candidates. This journalistic emphasis may facilitate the impression that the candidates are more negative than they really are and that candidates are more concerned with character – and less with policy – than their messages indicate. We also discovered that newspaper cover-age of senatorial debates stresses defenses more, policy less, and character more than news coverage of presidential debates.

An experiment involving 485 participants provided evidence for second-level agenda-setting effects of manipulated print media stories about the 2006 war in Lebanon. Investigators (1) measured readers' perceptions of the war's involved parties, Israel and Hezbollah, and (2) compared specific attributes that readers in each condition assigned to Israel and Hezbollah. Results demonstrated significant differences in attributes and perceptions of Israel and Hezbollah among five conditions. Computer content analysis of open-ended responses demonstrated a relationship between the version of the news story read by participants and the attributes that the participants assigned to Israel and Hezbollah.

This study adopts The Functional Theory of Political Campaign Discourse to content analyze political campaign web pages produced by mayoral candidates in six large American cities in 2013. Specifically, this analysis examines online campaign communication from Boston, Charlotte, Detroit, Houston, New York, and Seattle. Results of this analysis found that mayoral candidates used their websites to acclaim themselves more often than to attack their opponents or defend themselves against previous attacks. Additionally, these web pages addressed policy topics more often than they spoke about character concerns. The data also reveals important differences between the way incumbents and challengers use their websites in local elections. Differences also exist between the communication choices of winning mayoral candidates and losing mayoral candidates.

Safe injection facilities (SIFs) have shown promise in reducing harms and social costs associated with injection drug use. Favorable evaluations elsewhere have raised the issue of their implementation in the United States.

Abstract
Species status assessments (SSAs) are required for endangered species by the U.S. Fish and Wildlife Service and focus on the resiliency, redundancy, and representation of endangered species. SSAs must include climate information, because climate is a factor that will impact species in the future. To aid in the inclusion of climate information, a decision support system (DSS) entitled Climate Analysis and Visualization for the Assessment of Species Status (CAnVAS) was developed by the State Climate Office of North Carolina using a coproduction approach. In this study, users viewed a mock-up version of the CAnVAS interface displaying a sample layout of future projections for three key climate variables (average precipitation, average maximum temperature, and occurrence of maximum temperature) at a location of interest. This assessment of the pilot version of the CAnVAS DSS was the first step in refining CAnVAS for species-manager use. This research analyzed the differences in usability between two pilot versions of the CAnVAS DSS through eye tracking and subsequent interviews with novice users. The two pilot versions of CAnVAS differed in the way data were displayed on graphs and the color ramps used on regional maps. We found that graphically displaying temporal climate information through box-and-whisker plots and spatially through a sequential color ramp from white to purple were more effective than alternative displays at communicating climate information on endangered species. The results of this research will be used to further develop the CAnVAS DSS tool for future implementation.

Significance Statement
A decision support system was developed for U.S. Fish and Wildlife Service biologists to incorporate more climate information in species status assessments for endangered species. This tool was tested through eye tracking and interviews with a novice undergraduate student sample to best refine the tool for stakeholder use. This work was able to discover that graphically displaying data in box-and-whisker format and spatially displaying data with a sequential color scheme of white to purple was best for usability purposes. The authors provide these recommendations for those who are producing usable products.

AbstractWhile there is growing demand for use of climate model projections to understand the potential impacts of future climate on resources, there is a lack of effective visuals that convey the range of possible climates across spatial scales and with uncertainties that potential users need to inform their impact assessments and studies. We use usability testing including eye tracking to explore how a group of resource professionals (foresters) interpret and understand a series of graphical representations of future climate change, housed within a web-based decision support system (DSS), that address limitations identified in other tools. We find that a three-map layout effectively communicates the spread of future climate projections spatially, that location-specific information is effectively communicated if depicted both spatially on a map and temporally on a time series plot, and that model error metrics may be useful for communicating uncertainty and in demonstrating the utility of these future climate datasets.