Content-Type: text/html Swamped in Politics: News Coverage of Wetlands in Three Presidential Administrations Bonnie Parnell Riechert, Ph.D. Coordinator of Communications Agricultural Experiment Station The University of Tennessee Knoxville, TN 37996-4500 USA Phone: (423) 974-7362 e-mail: [log in to unmask] M. Mark Miller, Ph.D. Professor of Journalism College of Communications The University of Tennessee, Knoxville Knoxville, TN 37996-0330 Phone: (423) 974-4452 e-mail: [log in to unmask] Paper submitted for presentation to Association for Education in Journalism and Mass Communication, Communication Theory and Methodology Division, August 1997, Chicago. Swamped in Politics: News Coverage of Wetlands in Three Presidential Administrations Bonnie Parnell Riechert, The University of Tennessee; and M. Mark Miller, The University of Tennessee, Knoxville Abstract Several studies suggest that U.S. Presidents dominate the media agenda. This computer-assisted content analysis of Associated Press coverage of wetlands over a 12-year period compares the administrations of Reagan, Bush, and Clinton. Concept mapping procedures identify four major themes in 1,756 wetlands news articles from 1984-96: Habitat Restoration, Jobs/Development, Regulation Legislation, and Agriculture/Spending. Shifts in relative prominence of major themes suggest an active, but not necessarily dominant, influence of U.S. presidents on the media agenda. Swamped in Politics: News Coverage of Wetlands in Three Presidential Administrations The question of who sets the media's agenda is one of critical interest to mass communication scholars. This study explores the influence of U.S. presidents in shaping the content of news media coverage. The role of the news media in society is as much a manifestation or product of culture as it is a source of culture, Shoemaker and Reese (1991) have suggested. Agrees Kennemar (1992/1994), the news media "are as much the target of agenda-setting as they are the source" (p. 9). The focus of this paper is on this recycling, recursive role of the mass media in society (borrowing from the language of Derksen & Gartrell, 1993). The importance of studying media content "the message itself as a dependent variable" is emphasized by Shoemaker and Reese (1991, p. 8) in their pioneering volume, Mediating the Message: Theories of Influence on Mass Media Content. They argue that rather than viewing media content as a given, instead scholars should examine the factors inside and outside media organizations that affect media content (p. 1). It is in the spirit of this approach that this analysis is conducted. The term media sociology often is applied to studies with this focus: "A number of researchers who previously studied media effects including ourselves now find themselves asking why such effect-producing content exists to begin with" ((Shoemaker & Reese, 1991, p. 3). An intuitively-appealing hierarchical model of influences on media content is offered by Shoemaker and Reese (1991). The model divides influences on media content into five levels of widening scope: the individual level, the media routines level, the organization level, the extramedia level, and the ideological level. Dearing and Rogers (1996) explicate the agenda-setting process as "composed of the media agenda, the public agenda, and the policy agenda, and the interrelationships among these three elements . . . So, the agenda-setting process is an ongoing competition among the proponents of a set of issues to gain the attention of media professionals, the public, and policy elites" (pp. 5-6). They call for increased efforts of scholarly studies that focus on single issues to provide better understanding of these dynamic processes. Useful analyses of single issues include Lang and Lang's (1983) examination of the role of the media in the Watergate scandal, Gitlin's (1980) provocative study of coverage of the Students for a Democratic Society during the Vietnam War era, and Entman's (1991) analysis of coverage of the Korean Air Lines and Iranian air incidents. Additional in-depth investigations on single issues are needed, according to Dearing and Rogers (1996), to address such questions as who puts an issue on the national agenda: "What institutions in addition to the New York Times and the White House put an issue on the national agenda?" (p. 95). Agenda studies are critically important in the field of communication research, although they have been plagued by problems of terminology. Berkowitz (1992/1994) provides a helpful organization of the linguistic hodgepodge of terminology the semantic schizophrenia weighing down scholarly discussion of the mutual influences of policymakers and journalists. The terms agenda-setting, agenda-building, and information subsidy have "added both understanding and confusion to the study of journalists and news sources" (p. 82). Sadly but truly, the absence of consensus among communication scholars on the application of these various terminologies effectively mires the field in a bog of confusion and lack of clarity. Berkowitz (1992/1994) recommends the use of the term agenda-building or media agenda-building in discussion of the "interactive, give-and-take process of shaping media content" (p. 87). Not viewed simply as a transferral of priorities, this notion of the media agenda acknowledges the dynamic nature of the continuing process. As Berkowitz (1992/1994) notes, "Beyond journalism itself, the shared culture of journalists and policymakers leads toward a dynamic relationship that is sometimes more adversarial and sometimes more of an exchange" (p. 102). The needs for investigation of news media content as dependent variable, noted by Shoemaker and Reese (1991), as well as for in-depth analysis of single agenda-related issues, recognized by Dearing and Rogers (1996), point toward studies such as this one on the content of news media coverage of wetlands. Moreover, Shoemaker and Reese (1991) call for improved precision in methods for investigating media content, and this study employs rigorously precise measurement and comparison techniques made possible by developments during this decade in computer-assisted content analysis. Recent investigations demonstrate that the White House is highly influential "in putting an issue on the U.S. media agenda" (Dearing & Rogers, 1996, p. 17). The "notoriously" powerful role of U.S. presidents in influencing news coverage is observed by Shoemaker and Reese (1991, p. 153). Cohen (1989, cited in Shoemaker & Reese, 1991, p. 153) makes a similar observation: The president has a natural advantage over the media, giving him a commanding lead in setting the terms of public-political discourse. The president is invariably news . . . The White House can therefore create the news necessary to give the president's agenda wide publicity and even dominance in the political marketplace. (p. 2-3) The U.S. president "can put an issue on the national agenda just by giving a talk about it" (Dearing & Rogers, 1996, p. 75). In fact, Kingdon (1984) posits that "No other single actor in the political system has quite the capability of the president to set agendas in given policy areas for all those who deal with these policies" (p. 17). Bosso (1987) further suggests the U.S. president "is the political system's thermostat, capable of heating up or cooling down the politics of any single issue or of an entire platter of issues" (p. 261). Other influences such as the prestige media, scientific journals and the results of public opinion surveys also are powerful. Recent studies also provide evidence for the influence of Congress on setting the media agenda (Goodman, 1994). An earlier investigation of news coverage of wetlands by Associated Press demonstrated systematic shifts over time in relative prominence of the competing conservation and property owner concerns (Riechert, 1996). The study covered an 11-year period from 1984-95 and identified shifts in coverage content across years. The relative prominence of competing stakeholder concerns was shown to be related to news sources either mentioned or quoted in news articles. Some 1,456 articles were included in the computer-assisted content analysis. The study did not investigate systematic shifts in coverage across four-year periods corresponding to U.S. presidential administrations. The present study continues this strand of research by examining shifts in news coverage from 1984-96, across presidential administrations, involving those of Ronald Reagan, George Bush, and Bill Clinton (his first term). Some 1,756 articles are analyzed in this study. The research strategy of this study is to examine news coverage of the particular issue of wetlands over time, comparing news coverage during the administrations of three different U.S. presidents and examining whether and how differences in coverage are manifest during those administrations. The topic of wetlands is appropriate for a study such as this. Wetlands are the subject of continuing news coverage in recent years as scientists debate their definition, conservationists promote their preservation, property owners and developers lobby for loosened protection for them, Congress debates their regulation, and courts address cases involving such conflicts. Wetlands have received continued and increasing news coverage over the past few years, becoming the focus of national attention in 1988 after Presidential candidate George Bush adopted the slogan, "No net loss of wetlands," as a campaign promise. Method In this study computer-assisted content analysis methods are used to examine news articles about wetlands over a 12-year period involving the presidential administrations of Reagan, Bush, and Clinton. Key themes in the wetlands news coverage will be identified using a set of multidimensional scaling (MDS) techniques referred to as concept mapping (Miller, 1990/1995). The method uses mathematical procedures to identify term co-occurrence patterns within text. Concept mapping was developed by Miller and relies on the use of the computer programs VBPro and VBMap, which he developed for qualitative and quantitative analysis of verbatim text. The term co-occurrence patterns will be examined using both cluster analysis (hierarchical) and MDS techniques. While the methods often are used in conjunction by scientists (Corter, 1996), their application to analysis of term co-occurrence patterns represents a methodological innovation of concept mapping. Hierarchical cluster analysis (1996) and extraction of principal components in MDS (Coxon, 1982) will be used to produce ultrametric tree dendograms and multidimensional scaling configurations or maps to indicate co-occurrence similarities of terms and theme (as terms occurring frequently together). Once the major themes of wetlands news coverage are identified, their relative prominence will be compared among the periods corresponding to the presidential administrations of Reagan, Bush, and Clinton. These comparisons will be made with one-way analysis of variance tests applied to the mean occurrences of theme terms in articles from the three time periods. The conservative Scheff test will be applied as a post hoc test to identify the differences among the presidential administrations. Significant differences in theme prominence across the presidential administrations will provide evidence for the systematic shifts in news media coverage over time and will help illuminate the role of these U.S. presidents relating to the media agenda involving wetlands. Findings from this study will contribute to improved understanding of the complex extramedia influences on the content of news media coverage. They should suggest avenues for further study relating to media content, media sociology, and media agenda setting. Concept Mapping Miller and Riechert (1994) employed concept mapping techniques in identifying major themes in coverage of pesticides in four magazines including a general news magazine (Time) and three diverse specialized magazines (Audubon, Nutrition Today, and Successful Farming). Key themes included such topics as the environment, farming issues, and food risk. Differences in relative prominence of the themes were identified across the magazines, and were interpretable by the different editorial slants of the specialized magazines. These differences would be expected in pesticides coverage among the magazines. The distinctions were identified, and the comparisons were accomplished, with quantitative precision through computer-assisted content analysis procedures. The study illustrates the usefulness of the concept mapping methods for identifying themes in text and for making comparisons related to these themes. The concept mapping procedures have been employed in numerous studies since 1993 to investigate a number of research questions with computer-assisted content analysis. These studies include investigations of national election issues (Miller, Andsager, & Riechert, 1996); media framing of hate speech (Miller & Andsager [in press]); trends in scholarly journal content (Miller, 1994); coverage of women's health issues such as the French abortion pill RU486 and silicone breast implants (Andsager & Miller, 1994; Smiley & Andsager, 1996); advocacy group and news framing of public policy issues (Riechert, 1996); public issues (Miller & Riechert, 1997); media coverage of wetlands (Riechert & Miller, 1997); magazine coverage of pesticides (Miller & Riechert, 1994; Riechert & Miller, 1994) and several studies on source credibility (Chew & Miller, 1993; Chew, Mehta, & Oldfather, 1993; Chew & Kim, 1994). The procedures also are described generally in Miller & Riechert (in press). Analysis For this analysis all articles mentioning "wetlands" that were distributed by Associated Press from July 1984 until June 1996 were obtained in full text from the AP Newswire database through the DIALOG information service. This provided a data set of 12 full years of news coverage by AP (the full text of AP articles was available beginning with July 1984). Since this investigation was directed at news coverage and U.S. presidential administrations, articles discussing wetlands outside the United States were omitted from the this analysis. Also eliminated were editorial roundups, obituary-type articles (reporting the death of prominent wetlands advocates) and one article mentioning a college athlete whose last name was "Wetlands." Removal of these groups of articles left a total of 1,756 remaining articles on which this investigation focused. These strategies for retrieving and retaining news articles yielded a large set of 1,756 articles for the analysis in this study. The volume of coverage is adequate to support examination of a number of questions relating to the media content. The distribution of the articles by year is shown in Figure 1. The set of articles include 43 from July 1984 - July 1985; 74 from 1985-86; 71 from 1986-87; 81 from 1987-88; 144 from 1988-89; 168 from 1989-90; 162 from 1990-91; 220 from 1991-92; 134 from 1992-93; 199 from 1993-94; 169 from 1994-95; and 251 from 1995-96. The steady increase in news articles about wetlands over this period indicates continued and increasing coverage of wetlands in the news media. The distribution of the wetlands news articles by presidential terms also shows this pattern: Reagan 354 Bush 686 Clinton 716 The 1984-96 articles covered the time periods of Reagan's entire 1985-88 second presidential term as well as the last six months of his first term; of Bush's entire 1989-92 presidential term; and of Clinton's 1993-96 term except the last six months. Themes in the wetlands articles were identified using the key word frequency ranking procedures and concept mapping techniques made possible by the VBPro set of computer programs, which include VBMap (Miller, 1990/1995a and 1990/1995b ). The programs were designed specifically for content analysis of natural language text and for concept mapping, or multidimensional scaling analysis of co-occurring terms and themes in text. Entman (1993) elaborates the manifestation of themes in key words. Case numbers were added in the text file containing the news articles, and the file was formatted in VBPro (Miller, 1990/1995b). The file then was submitted to the program's procedures for creating (1) an alphabetized list of all terms used in the articles (also indicating frequency of occurrence) and (2) a frequency-ranked list of all the terms, ordered by raw frequency of occurrence. The first file listed terms from a, occurring some 21,070 times, to of, occurring 29,224 times, to water, occurring 3,076 times, to wetlands, occurring 4,566 times, to Zwannendael, occurring 2 times. From the list of terms in the second file, ranked by frequency, were selected more than 100 terms that (1) occurred frequently in the text, and (2) that are substantively meaningful and unambiguous. Grammar function words such as a and of, though frequently-occurring, are omitted from analysis, as are terms that might have more than one meaning, such as act or states. The multidimensional scaling program for term co-occurrence accommodates a large number of terms, up to 125 words or groups of words. The frequently-occurring terms selected for the concept mapping procedure are listed in Table 1 along with their frequency of occurrence and additional information that will be referenced later. These terms were used to create a search file (Miller, 1990/1995b), with which, and for which the text file was coded, using the VBPro coding procedures. Terms that occurred frequently in singular and plural form were combined in the search file together for coding purposes (farm/farms, and so on). The numeric coded file created by the procedures then was submitted to the VBMap program, which applies multidimensional scaling techniques to identify the term oc-occurrence patterns in the text. Three dimensions or coordinates were specified, because three dimensions are easily represented visually in maps or configurations that may be constructed using the program's output of coordinate values for each specified term. The coordinate values output by VBMap for each specified term also are listed in Table 1 under the column heading, "Coordinates 1, 2, and 3." These values are useful in constructing multidimensional configurations or maps showing the relative location of the terms in a multidimensional space. An example of this type of map will be presented and discussed later in this paper. The output of coordinate values for the terms also may be submitted directly into statistical programs such as SPSS for hierarchical cluster analysis, using the agglomerative schedule and cosine similarity measurement method, to ascertain which terms occur most often together. The procedure was followed for the 120+ terms discussed previously and listed in Table 1. The resulting clustering schedule, shown in a tree-type dendogram, immediately linked several groups of terms to reveal that they occur together frequently in the text. The following steps then were taken to assure the stability of the clusters. Before the analysis proceeded further, an additional search file as created with the same terms plus three added source identifier terms (to indicate the presidential terms of Clinton, Bush, and Reagan). The constructed code terms used were $CLIN, $BUSH, and $REAG meeting the criteria of being unique, easily recognizable, and not occurring naturally in the text. The text file of the news articles was opened, and within each news article was added one of the identifier code terms, depending on the date of the article and the corresponding presidential term. Thus, the identifier code term $CLIN was added in articles from 1993-'96; $BUSH was added within articles from 1989-'92; and $REAG was added within articles from 1984-'88. The text file then was reformatted in VBPro before the coding procedure was repeated for the 120+ frequently-occurring terms and the three inserted identifier code terms. The new numeric coded file then was submitted to the VBMap program for generation of coordinate values for three coordinates or dimensions, and the resulting data file was submitted to SPSS for hierarchical cluster analysis. (The procedures are followed first without, then with, the inserted code terms to confirm the stability of the clusters.) The term clustering patterns revealed by these two clustering analysis procedures are shown in Columns 1 and 2 of Table 2. As indicated in the table, several terms clustered immediately with the term agriculture: acreage, crop, growers, producers, production, subsidies, benefits, and rural. A second tight cluster was formed by the linking of the terms conservation, soil, erosion, farming, USDA, erodible, farmers, and agricultural. The table lists the terms connected in 23 tightly-formed clusters of co-occurring terms from among the 120+ terms included in the cluster analysis. Examining the co-occurrence patterns of the individual terms, as listed in Table 2, might be compared to looking at a grove of trees from an arm's length we see the individual leaves clearly, but a different perspective and additional understanding is provided by looking from several paces back. (This avoids the well-known "can't see the forest for the trees" problem.) Thus, another stage of analysis is undertaken to examine the co-occurrence patterns of the key terms from the perspective of stepping a few paces back, combining the clustering schedules into fewer and more easily comprehendible categories. Another way to describe the comparison of relative proximities of clustering groups of terms is to think of looking at constellations of terms. The following procedures offer this type of examination. A new search file was created by combining these terms into 23 groups (as suggested in the cluster analysis) plus the three identifier terms indicating presidential administration. This search file was submitted to the VBPro coding procedure, along with the text file of the news articles, to generate a new data file coded for frequency, by case, of terms from each term cluster, as listed in Table 2. The data file then was submitted to the VBMap program to obtain coordinate values for three coordinates or dimensions. This information was output by the VBMap program and is listed in Table 2 under the column heading, "Coordinates 1, 2, and 3." The coordinate values may range from -1 to 1, with proximity in the three-dimensional space representing frequent occurrence of the terms together in the text. Thus, the terms located farthest apart in the derived multidimensional space occur together infrequently or never. For example, the identifier terms $CLIN, $BUSH, and $REAG necessarily never occur together in an article. The relative proximity of the groups of terms, now consolidated into meaningful clusters or themes (agriculture, conservation, and so forth), is easily visualized in a multidimensional configuration or map. This can be constructed using the coordinate values output by the VBMap program. The values listed in Table 2, Column 3, were used to construct the concept map presented in Figure 2. Recall that the purpose of multidimensional scaling procedures is to reveal the hidden patterns of data structure (Kruskal & Wish, 1978). The map shown in Figure 2 provides a visual illustration, in a derived multidimensional space, of the data structure of the term co-occurrence patterns in the news coverage on wetlands over a 12-year period. It shows us what terms occurred together, and which terms did not tend to co-occur. Circles on the map represent the relative location of the terms in the text; thus, the points (represented by circles) that locate closest to one another represent terms that occur consistently together in the text. The shaded circles indicate the relative location of the inserted identifier code terms representing the administrations of Clinton, Bush, and Reagan. Location of the shaded circles does not indicate the content of what each president said in the media (that remains for a further study), but are meaningful in conjunction with their proximate terms to indicate what themes occurred most prominently in news coverage during the distinctive administrations. The two dark lines represent coordinates or dimensions 2 and 3 in the multidimensional space, and the vertical lines to which the circles are attached represent coordinate 1 in the three-dimensional space. The circles attached at the top of a vertical line indicate positive values in coordinate 1, while circles attached at the bottom of a vertical line indicate negative values. What does the map tell us about news coverage on wetlands during presidential administrations of Clinton, Bush, and Reagan? The configuration reveals that industry, pollution, wetlands, habitat, the environment, building, and restoration received preponderant coverage during the Reagan administration, compared to his immediate two successors. Jobs and industry were primary themes during the Bush administration. With regard to coverage of wetlands, legislation, government, rights (of property owners), and Congress dominated coverage during Clinton's first term in office. The relative location of Bush compared to Reagan and Clinton is most notable, revealing that media coverage of wetlands was much more similar during Bush's administration to coverage during Reagan's administration than during the succeeding term of Clinton. In other words, wetlands coverage after Bush was dramatically different than coverage before his administration. The dramatic shift suggests the possibility that Bush redirected the media discussion of wetlands, which could be accomplished through shifting the national policy agenda related to wetlands. Studies by Nicodemus (1995) and Riechert (1996) support this interpretation. A discussion by Nicholas (1992) is relevant: President Bush, who once vowed to protect wetlands "no matter how small" has responded to this pressure with a well-orchestrated campaign that could threaten fully half of the nation's remaining wetlands. The White House defends its position by claiming that previous regulations covered many areas that are not really wetlands and went too far in blocking development and denying landowners their rights to develop their property. Some members of Congress, from both sides of the aisle, have also proposed legislation to rein in wetlands protection. And growing numbers of landowners, encouraged by a conservative shift in the judicial system during the Bush and Reagan years, are pressing their cases in courts. (p. 36) Another type of visual representation of the patterns of term co-occurrence in the text is provided by cluster analysis in the tree-type dendogram. In such a diagram all terms are eventually linked, but terms that are combined earliest in the clustering schedule are the ones that occur most frequently together. The dendogram in Figure 3 also shows the relative co-occurrence similarity of these term clusters, reasonably conceptualized as themes in the wetlands articles. The dendogram was generated by cluster analysis with the cosine method using the coordinate values shown in Table 2, which were output by the VBMap program. The clustering results displayed in the dendogram in Figure 3 provide justification for further consolidation of the term clusters into superclusters, dependably conceptualized as major themes in the wetlands news coverage. After all, these clustering terms and groups of terms emerge from the data themselves. The dendogram suggests broad classification of the 23 specific themes into four major themes, which we label Habitat Restoration, Jobs/Development, Regulation Legislation, and Agriculture/Spending. These major themes are listed in Table 3 along with the term clusters or narrower themes that they encompass. Reasonable division of the coverage into these manifest major categories allows for comparison of relative prominence across presidential terms. The results of these comparisons will be discussed following a review of the nature of each of these four grand topical divisions. The Habitat Restoration Theme The major theme referred to here as Habitat Restoration includes the narrower themes of permit, preserve, build, habitat, restoration, wetlands, runoff, and scientists. Grouping of these topics into this sensible encompassing theme is based on the results of the cluster analysis shown in the dendogram in Figure 3. News coverage with prominence of the Habitat Restoration Theme involves discussion of wetlands preservation and restoration, of wetlands-related permits and projects in building that affect wetlands. For example, the AP news articles ranking highest in frequency of the terms comprising this theme is a Sept. 5, 1994, article datelined Land O' Lakes, Fla., carrying the headline, "Florida's Water Woes." Excerpts of the article include the following: Catherine Monsees retired to a house on a lake once stocked with fish and teeming with wildlife. That's all gone now. What she has left is a dry lake bed chocked with weeds and a tarnished dream, for her golden years. . . .The culprits are varied: too much water pumped from natural underground reservoirs, persistent drought, rapid growth and virtually no thought for water conservation. . . . An estimated 17,000 acres of wetlands are damaged. Marshes are arid. Cypress trees are dead. Ducks, cranes, turtles and alligators are gone. The Jobs/Development Theme The Jobs/Development theme incorporates the narrower themes of industry, pollution, development, environment, and jobs. News articles with prominent emphasis on this major theme discuss industry and development relevant to wetlands, implications to the environment, and potential impacts on jobs. An example of an article with prominent focus on this major theme is an Oct. 21, 1992, article datelined Washington and carrying the headline, "Environmentalists Cool to Bush, Back Clinton Despite a Mixed Record." The following excerpts are taken from the news report: A comic strip congressman recently lectured his wife, urging her to "face reality, the real choice. You can either choose jobs or trees, jobs or air, jobs or . . ." The distraught woman bolted the frame a choice voters don't have, even when the real-life presidential campaign dialogue starts sounding like the Washington satire by Mark Alan Stamaty. President Bush alternatively labels Arkansas Gov. Bill Clinton a polluter-coddler, who let poultry companies foul his state's rivers with chicken waste, and an environmental extremist who has embraced the ideas of his greener-than-thou running mate, Sen. Al Gore. . . . Bush came into office pledging to be an environmental president but has gradually given more weight to business concerns. A second example of coverage focusing on this theme is seen in a Sept. 23, 1991, news report datelined Grand Canyon, Ariz., and carrying the headline, "Bush, Environment." Excerpts from the 1,269-word article follow: Like any other tourist, President Bush stood in awe of the Grand Canyon's magnificence. His one-word reaction to the canyon's natural majesty: "grandeur." The Grand Canyon provided a breathtaking backdrop for the official announcement of a plan to block pollution over the national park a lofty achievement by any standard. . . . But critic's lambast the administration's pro-industry bent on other issues, such as oil exploration in the Arctic National Wildlife Refuge and resistance to costly regulatory measures. . . . [Wilderness Society President George Frampton] charged Bush "has stood with big oil, the timber industry and the mining companies." . . . Bush frequently states a goal of balancing economic and environmental needs. He used that rationale last month when he backed off a campaign promise to allow "no net loss" of wetlands by rewriting the definition of a wetland. "A pothole in the backyard is not a wetland," Bush told reporters. . . . Among other actions bemoaned by administration critics: Refusal to commit to reduction targets for carbon dioxide emissions, . . . the decision to drop millions of acres from wetlands protection . . . Bush's insistence on opening the Alaska refuge to oil exploration...resistance to raising fuel efficiency requirements for cars . . . The Regulation Legislation Theme A third major theme, described as Regulation Legislation, incorporates the smaller themes of government, legislation, endangered, rights, and regulation. News articles emphasizing these topics focus on wetlands legislation, implications for endangered species and for the rights of property owners, and the role of government in regulation of wetlands. An example of news articles with prominent emphasis on these areas is the March 3, 1995, report datelined Washington and headlined as "House Approves Landowner-Compensation Bill." Excerpts of the 805-word article follow: Declaring an assault on arrogant government, the House approved a bill today requiring federal agencies to compensate landowners for restrictions that protect wetlands and endangered species. The legislation, which was denounced by Democrats as a thereat to environmental protection and a potential drain on the U.S. treasury, cleared by a vote of 277-148. It now goes to the Senate . . . Called the "Private Property Protection Act," the House-passed measure would broaden substantially the definition courts traditionally have given to a "regulatory taking" of property. The Agriculture/Spending Theme A fourth major theme referred to as the Agriculture/Spending Theme represents the combination of the narrower themes of agriculture, conservation, economic, spending, and Congress, as mentioned previously and as listed in Tables 2 and 3. Articles emphasizing these topics focus on wetlands and agriculture, conservation practices relating to wetlands, and economic/spending issues relating to agriculture. A news article headlined "1985 Farm Law Will Help Eliminate Soil Erosion: Conservation Group" and released by Associated Press on Jan. 30, 1990, emphasizes these topics. Excerpts from the 664-word article, datelined Washington, follow: Historic provisions in 1985 farm law will help farmers move rapidly toward the elimination of severe soil erosion on much of the nation's cropland by the mid-1990s, a private conservation group said Tuesday. A study of more than 1,000 farms in selected areas across the nation showed that the conservation provisions of the 1985 Food Security Act have been a main force in prodding and luring farmers into protecting soil resources. The report, released here by the Soil and Water Conservation Society of Ankeny, Iowa, focused on the 1985 law's provisions governing the use of fragile, highly erodible land, and wetland areas. The computer procedures with which these four major themes were identified assure their representativeness of the overall news coverage on wetlands, because the terms comprising them emerge from the news articles themselves based on their frequency of occurrence and their occurrence together in the text. Identification of these themes, represented in the text by the appearance of the relevant terms, allows for comparisons of their relative prominence in the news coverage. The efficiency and precision of computer-assisted content analysis is appreciated when the task is to code 1,756 articles about 4,000 pages of text for frequency of occurrence of 100 or terms (from Table 2) combined into four major topical themes. This process is accomplished easily by constructing four new variables from an existing data file in SPSS . The existing file, created by VBPro with search files and coding procedures, listed the frequency of occurrence of the terms listed in Table 3 for each case or news article. Four new variables were created using the computer commands in SPSS and adding, for each case, the frequencies for the terms combined within each major theme category. The values generated in this process then were used to conduct one-way analysis of variance tests comparing the prominence of each major theme in news coverage among the three presidential administrations. These statistical tests compare the mean frequencies of the theme terms in news articles distributed during the three presidential administrations. The results of these analyses are presented in the following section. Results and Discussion Comparisons of relative prominence were made among coverage in the three presidential administrations for each of the four major themes in the wetlands news coverage. The tests, therefore, compared the prominence of the major themes of Habitat Restoration, Jobs/Development, Regulation Legislation, and Agriculture/Spending across the administrations of Reagan, Bush, and Clinton. Prominence of a theme was measured by occurrence of the relevant theme terms in the news articles. Comparisons involve the mean occurrences of the theme terms. Coverage of The Habitat/Restoration Theme Comparison of the term frequency means revealed that coverage of the Habitat Restoration Theme was more prominent in the Reagan administration than in the following administrations. Table 4a summarizes these comparisons. One-way analysis of variance revealed a significant difference among the presidential administrations, as summarized in Table 4b. The Scheff post hoc test was applied, indicating that the mean occurrence of 13.31 relevant terms in the Reagan administration was significantly higher than the means of 11.40 and 10.10 during the Bush and Clinton years, respectively. The environment was not considered an issue on Reagan's agenda, so the explanation for this must be found elsewhere. Reagan entered the oval office "as a time of especially low prestige Jimmy Carter had just been vicariously held hostage by Iranian militants for 444 days" (Manheim, 1991, p. 83), as the news media had reminded the American public on a virtually daily basis. The Grenada incident among others served to positively reinvent Reagan in the public mind as a world leader. A point to be made here, Manheim argues: is that public officials, no less than political candidates and probably more have reason to find means to structure the ways they are portrayed in the news media. Much of their relationship with journalists and through journalists, with the public, is guided by this fact. Making news, as much as making or implementing policy, is part and parcel of the business of politics. (p. 83) Coverage of Jobs/Development Theme Comparisons of prominence of the Jobs/Development theme in news coverage also were made for the three presidential administrations. The results of these tests are presented in Table 5. One-way analysis of variance tests revealed significant differences among the presidential administrations, for this variable. The Scheff post hoc test showed that the relative occurrence of these relevant theme terms was significantly higher in the Bush administration compared to the Reagan and the Clinton administrations. Examples of articles emphasizing this theme, provided in the previous section, were somewhat critical of Bush while focusing on his themes of jobs and development. A potential explanation is that the media frequently quoted Bush discussing jobs and development while they also provided criticism of his environmental policies. Coverage of Regulation Legislation Theme Comparisons of relative prominence in media coverage of a third major theme, Regulation Legislation, are presented in Table 6a. With a mean of 10.07 relevant theme terms per case during the Clinton administration, prominence of the Regulation Legislation theme was significantly greater compared to coverage during the terms of his two immediate predecessors (with means of 3.80 and 4.13). Coverage during the Reagan and Bush terms did not differ significantly. The results of the associated one-way analysis of variance test are given in Table 6b. Coverage of Agriculture/Spending Theme Similar findings related to coverage of a fourth broad theme of Agriculture/Spending are presented in Table 7. As indicated table, coverage of agriculture was significantly more prominent in Clinton's administration than in the terms of Reagan and Bush, while this theme received similar levels of coverage during the Reagan and Bush administrations. One-way analysis of variance findings are shown in Table 7b. To summarize the results of these comparisons, shown in Tables 4-7, coverage of Habitat Restoration was highest during the terms of Reagan, coverage of Jobs/Development was highest during the term of Bush, and coverage of Regulation Legislation and Agriculture/Spending was highest during Clinton's term. These comparisons offer compelling evidence for the systematic shifting of news media content over time. The nature of the shifts, however, suggest an inconsistently rather than consistently dominant influence of the U.S. president on the American news media agenda. Review of the news articles and findings of additional studies (Nicodemus, 1995; Riechert, 1996) show that during the Reagan's presidential terms in the 1980s, news coverage of wetlands emphasized conservation/environmental issues. Conservation advocate groups were quoted frequently in the news media as they discussed the benefits of wetlands and warned of the environmental threats of continued loss of natural wetlands. Benefits of wetlands include preventing flooding, improving water quality, and providing critical habitat for threatened and endangered wildlife species (Wetlands Fact Sheets, 1995). Public awareness of the environmental importance of these diverse areas was so high in the public mind, in fact, that Presidential hopeful George Bush in 1988 issued the slogan, "No net loss of wetlands" as a campaign promise. After taking office, however, Bush instead sought relaxation of regulations that protect wetlands and who lobbied for legislative reforms that restricted the definition of wetlands and that would provide compensation to property owners affected by restrictions imposed by wetlands protection. During his administration scores of wetlands legislative reform bills were introduced, and these still were being debated in the national policy and media agendas when Clinton took office. The ensuing shift in wetlands news coverage of relative prominence of conservation to property-owner concerns is linked largely to the public statements and policy activities of Bush (Nicodemus, 1996; Riechert, 1996). Conclusions Several conclusions may be drawn from this study. Evidence is provided that in some cases (with Bush, in wetlands news coverage), presidents may effectively energize an issue and reframe it in the media, and yet may not be able to maintain media nor public support on the issue. Continued research in this area is needed. It would be worthwhile, for example, to study the relationship of the themes in presidential assertions in news coverage content, relative to assertions by other actors such as legislators and to the prominence of these themes in media coverage. This can be studied in coverage of wetlands and any other number of topics. Notable also is the successful demonstration of these computer-assisted methods in identifying major themes in text and using those themes for making meaningful comparisons. These methods can be applied to studying media content with reliable precision and appealing efficiency. The methods can handle enormous amounts of text, making possible the investigation of complex agenda processes over long time periods and in volumes of coverage. Investigation of research questions with larger sample sizes will make agenda-related studies more powerful in examining news coverage for differences of interest. Such large sample studies allow trends to emerge because the statistical law of large numbers becomes operative. It also makes it possible to look for patterns between and within subsets of the data, which also contain large amounts of information. These findings of the comparisons in this study, considered together with reviews of the news articles emphasizing each major theme, show that the role of the U.S. president in the media agenda is more complex than some studies have suggested. While the president may place an issue on the public agenda and the media agenda, the president may not always control its evolution. Other actors in the process, including legislators, compete for dominant influence. It is possible that historically U.S. presidents have enjoyed more influence on the media agenda than they have enjoyed in recent years. Investigations by Hughes (1995) and others provide evidence that this is the case. Further study is needed to determine changes in the president-media relationship over time. Journalism norms and values prescribe that the president will be covered prominently in the news media. The position and the activities of the president hold the news values of prominence, impact, and many times conflict, occasionally even the bizarre. Numerous studies cited here show that media continually and consistently report the comments of the president. The findings of this study, however, along with those of Hughes (1995), Gonzenbach (1992), and others, also indicate that the media coverage of the U.S. president includes far more than what the president says and wants to be said. These findings suggest that the U.S. president is powerful enough to tell the media what to talk about, but is not powerful enough to tell them what to say. References Aldenderfer, M. S., & Blashfield, R. K. (1984). Cluster Analysis (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-44). Newbury Park, CA: Sage. Andsager, J. L., & Miller, M. M. (1994, November). Exploring patterns of controversy: News coverage of RU486. Presented to the Midwest Association for Public Opinion Research, Chicago. Berkowitz, D. (1992/1994). Who sets the media agenda? The ability of policymakers to determine news decisions. In J. D. Kennamer (Ed.), Public Opinion, the Press, and Public Policy (pp. 81-102). Westport, Conn.: Praeger Publishers. Bosso, C. J. (1987). Pesticides and Politics: The Life Cycle of a Public Issue. Pittsburgh: University of Pittsburgh Press. Chew, F., & Kim., S. (1994, August). Using concept mapping to go beyond the source credibility model in assessing celebrity-message congruence. Presented to the Association for Education in Journalism and Mass Communication, Atlanta. Chew, F., & Miller, M. M. (1993, November). When the source is the message: Going beyond the source-message effectiveness model to assess presidential attitudes congruent with voter preference. Presented to the Midwest Association for Public Opinion Research, Chicago. Chew, F., Mehta, A., & Oldfather, A. (1993, August). A re-examination of the source-message effectiveness model: Analyzing pieces of the celebrity endorsement puzzle via source models, cultural meaning transfer, and concept mapping. Presented to the Association for Education in Journalism and Mass Communication, Kansas City, MO. Corter, J. E. (1996). Tree Models of Similarity and Association (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-112). Thousand Oaks, CA: Sage. Coxon, A. P. M. (1982). The User's Guide to Multidimensional Scaling. Exeter, New Hampshire, Great Britain: Heinemann Educational Books, Inc. Dearing, J. W., & Rogers, E. M. (1996). Communication Concepts 6: Agenda-Setting. Thousand Oaks, CA: Sage. Derksen, L., & Gartrell, J. (1993). The social context of recycling. American Sociological Review, 58, 434-442. Entman, R. M. (1991). Framing U.S. coverage of international news: Contrasts in narratives of the KAL and Iran air incidents. Journal of Communication, 41(4), 6-27. Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51-58. Gitlin, T. (1980). The Whole World is Watching: Mass Media in the Making and Unmaking of the New Left. Berkeley, CA: University of California Press. Goodman, R. (1994, May). Bush administration congressional versus presidential agenda-setting: The China most favored nation controversy. Presented to the International Communication Association, Albuquerque, NM. Gonzenbach, W. J. (1992). A time-series analysis of the drug issue, 1985-1990: The press, the president, and public opinion. International Journal of Public Opinion Research, 4(2), 126-147. Hughes, W. J. (1995). The "not-so-genial" conspiracy: The New York Times and six presidential "honeymoons," 1953-1993. Journalism and Mass Communication Quarterly, 72(4), 841-850. Kennamer, J. D. (Ed.). (1992/1994). Public Opinion, the Press, and Public Policy. Westport, Conn.: Praeger Publishers. Kingdon, J. W. (1984). Agenda, Alternatives, and Public Policies. Boston: Little, Brown. Kruskal, J. B., & Wish, M. (1978). Multidimensional Scaling (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-11). Newbury Park, CA: Sage. Lang, G. E., & Lang, K. (1983). The Battle for Public Opinion: The President, the Press, and the Polls During Watergate. New York: Columbia University Press. Manheim, J. B. (1991). All of the People All of the Time. Armonk, NY: M. E. Sharpe, Inc. Miller, M. M. (1990/1995a). User's Guide for VBMap: A Program for Multidimensional Scaling of Concepts. Knoxville, TN: The University of Tennessee, Knoxville. Miller, M. M. (1990/1995b). User's Guide for VBPro: A Program for Analyzing Verbatim Text. Knoxville, TN: The University of Tennessee, Knoxville. Miller, M. M. (1994, November). Patterns and trends in 20 years of Public Opinion Quarterly: An application of concept mapping. Presented to the Midwest Association for Public Opinion Research, Chicago. Miller, M. M. (In press). Frame mapping and analysis of contentious issues. Accepted for publication in Computers and the Social Sciences. Miller, M. M., & Andsager, J. L. (In press). Media framing of hate speech: From campus to the public sphere. Accepted for publication in Newspaper Research Journal. Miller, M. M., Andsager, J. L., & Riechert, B. P. (1996, November). Framing the candidates in presidential primaries: Issues and Images in press releases and news coverage. Presented at the Midwest Association for Public Opinion Research, Chicago. Miller, M. M., & Riechert, B. P. (1994, August). Identifying themes via concept mapping: A new method of content analysis. Presented to the Association for Education in Journalism and Mass Communication, Atlanta. Miller, M. M., & Riechert, B. P. (1997, May). Frame Mapping: A quantitative method for investigating issues in the public sphere. Presented at the American Association for Public Opinion Research, Norfolk, VA. Miller, M. M., & Riechert, B. P. (In press). Frame mapping: A new method for investigating issues in the public sphere. Accepted for publication in Computer Content Analysis: Theory, Methods, Applications (Mark D. West, ed.), Ablex. Nicholas, S. (1992). The war over wetlands. Issues in Science and Technology, 8(4), 35-41. Nicodemus, D. (1995, March). The prestige press and environmental communication: A case study of The New York Times and the national wetland policy during the Bush administration. Presented to the Conference on Communication and the Environment, Chattanooga, TN. Riechert, B. . (1996). Advocacy Group and News Media Framing of Public Policy Issues: Frame Mapping the Wetlands Debates. Riechert, B. P., & Miller, M. M. (1994). Magazine coverage of pesticide issues: A computer content analysis. Presented to the Agricultural Communicators in Education, Moscow, ID, and Pullman, WA. Riechert, B. P., & Miller, M. M. (1997, May). Competing Views in the Case of Wetlands: Frame Mapping the Public Issue Landscape. Presented at the International Communication Association, Chicago. Shoemaker, P. J., & Reese, S. D. (1991). Mediating the Message: Theories of Influence on Mass Media Content. New York: Longman Publishing Group. Smiley, L., & Andsager, J. L. (1996, November). Communications in conflict: How media agents framed the silicone breast implant controversy. Presented to the Midwest Association for Public Opinion Research, Chicago. Wetlands Fact Sheets. (1995). EPA843-F-95-001. Washington, DC: United States Environmental Protection Agency. Figure 1. Wetlands News Articles Distributed by Associated Press by Year, 1984-96 (Excluding Articles on Wetlands Outside the United States) Table 1. Terms Occurring Frequently in News Coverage of Wetlands, Specified for Analysis of Co-Occurrence Patterns, and Eigenvector Values for Multidimensional Space ______________________________________________________________________________ Term Frequency Coordinates 1, 2, and 3* of Occurrence ______________________________________________________________________________ wetlands 4,566 ( 0.06, -0.06, 0.35) environmental 3,566 (-0.24, 0.26, 0.04) water 3,076 (-0.02, -0.17, 0.14) farmers 1,977 ( 0.61, 0.10, 0.14) land 1,977 ( 0.21, -0.01, 0.33) government 1,825 ( 0.07, 0.38, 0.25) acres 1,749 ( 0.27, -0.17, 0.31) senate 1,692 ( 0.11, 0.50, 0.03) conservation 1,623 ( 0.53, -0.03, 0.16) Bush 1,660 (-0.09, 0.18, -0.34) wildlife 1,482 (-0.06, -0.31, 0.28) congress 1,425 (-0.05, 0.43, -0.13) oil 1,404 (-0.14, -0.12, -0.14) protection 1,303 (-0.29, 0.28, 0.30) spending 1,250 ( 0.10, 0.50, -0.24) agriculture 1,224 ( 0.61, 0.21, 0.05) budget 1,169 ( 0.02, 0.37, -0.33) Clinton 1,090 (-0.14, 0.45, -0.06) development 948 (-0.08, 0.03, 0.01) legislation 940 (-0.11, 0.51, 0.16) property 875 (-0.22, 0.27, 0.56) species 859 (-0.31, 0.08, 0.43) environment 812 (-0.19, 0.22, -0.05) policy 792 ( 0.09, 0.04, 0.12) republicans 778 (-0.21, 0.52, 0.12) environmentalists 772 (-0.15, 0.04, 0.06) natural 718 (-0.09, -0.17, 0.10) research 706 ( 0.09, 0.12, -0.23) protect 702 ( 0.12, 0.08, 0.20) everglades 701 (-0.06, -0.15, -0.01) EPA 693 (-0.20, 0.09, 0.01) American 692 ( 0.01, 0.05, 0.04) cost 690 ( 0.02, 0.19, -0.08) clean 644 (-0.21, 0.14, -0.08) tax 652 ( 0.00, 0.17, -0.27) Table 1. (Continued) ______________________________________________________________________________ Term Frequency Coordinates 1, 2, and 3* of Occurrence ______________________________________________________________________________ fish 650 (-0.12, -0.35, 0.20) crop 632 ( 0.65, 0.13, 0.04) pollution 631 (-0.15, 0.08, -0.05) endangered 630 (-0.33, 0.16, 0.45) industry 619 (-0.14, 0.04, -0.11) project 611 (-0.06, -0.19, 0.00) agricultural 602 ( 0.39, 0.05, 0.14) birds 568 (-0.07, -0.29, 0.14) habitat 523 (-0.04, -0.26, 0.31) soil 511 ( 0.43, -0.07, 0.13) production 494 ( 0.51, 0.05, -0.02) laws 490 (-0.25, 0.32, 0.29) resources 483 (-0.04, -0.08, 0.09) lawmakers 455 (-0.11, 0.51, 0.13) acre 448 ( 0.12, -0.21, 0.18) vote 442 (-0.06, 0.43, 0.06) flood 432 (-0.01, -0.12, 0.10) world 426 ( 0.00, -0.02, -0.16) landowner 420 ( 0.03, -0.00, 0.31) corps 414 (-0.10, -0.18, 0.12) health 400 (-0.14, 0.28, -0.13) subsidies 394 ( 0.49, 0.21, -0.07) economic 392 (-0.01, 0.08, -0.11) construction 389 (-0.11, -0.09, -0.04) home 387 (-0.02, -0.06, -0.09) costs 375 ( 0.11, 0.10, -0.10) benefits 372 ( 0.31, 0.14, -0.02) energy 370 (-0.15, 0.12, -0.25) plants 369 (-0.08, -0.06, 0.01) waste 362 (-0.13, 0.06, -0.13) beach 348 (-0.08, -0.13, -0.03) rights 326 (-0.19, 0.30, 0.48) lakes 326 (-0.08, -0.19, 0.05) court 322 (-0.10, 0.04, 0.11) growers 318 ( 0.28, 0.06, 0.01) gulf 310 (-0.08, -0.09, -0.11) Table 1. (Continued) ______________________________________________________________________________ Term Frequency Coordinates 1, 2, and 3* of Occurrence ______________________________________________________________________________ marshes 304 (-0.02, -0.20, 0.11) restore 299 ( 0.03, -0.02, 0.09) forest 299 (-0.12, 0.07, 0.03) island 296 (-0.06, -0.12, -0.01) erosion 294 ( 0.41, -0.05, 0.14) Reagan 290 (-0.09, 0.06, -0.17) build 290 (-0.09, -0.12, 0.07) USDA 287 ( 0.49, 0.01, 0.12) acreage 287 ( 0.44, 0.11, 0.06) toxic 285 (-0.23, 0.11, -0.13) regulation 285 (-0.19, 0.33, 0.30) dole 285 (-0.06, 0.23, -0.05) rivers 277 (-0.12, -0.19, 0.11) duck 275 (-0.00, -0.24, 0.16) engineers 269 (-0.12, -0.20, 0.16) jobs 265 (-0.07, 0.08, -0.20) waterfowl 255 ( 0.03, -0.24, 0.17) protecting 255 (-0.05, 0.14, 0.22) building 253 (-0.07, -0.11, 0.02) population 251 (-0.09, -0.24 , 0.06) environmentally 244 ( 0.07, 0.03, -0.06) preserve 243 (-0.03, -0.06, 0.19) producers 243 ( 0.50, 0.13, 0.02) farms 240 ( 0.61, 0.16, 0.07) urban 239 (-0.11, 0.12, -0.02) funding 238 ( 0.05, 0.18, -0.12) taking 234 (-0.11, 0.21, 0.26) debate 234 (-0.03, 0.36, 0.23) restoration 233 (-0.02, -0.12, 0.03) drilling 233 (-0.13, -0.00, -0.22) farming 231 ( 0.27, -0.02, 0.13) sensitive 230 ( 0.02, 0.07, -0.07) permit 228 (-0.08, -0.05, 0.10) logging 228 (-0.16, 0.16, 0.09) rural 220 ( 0.25, 0.15, -0.03) developers 217 (-0.06, -0.07, 0.20) Table 1. (Continued) ______________________________________________________________________________ Term Frequency Coordinates 1, 2, and 3* of Occurrence ______________________________________________________________________________ erodible 215 ( 0.57, 0.03, 0.09) runoff 214 (-0.06, -0.11, -0.04) chemicals 212 ( 0.04, -0.01, -0.03) threatened 211 (-0.11, -0.10, 0.16) owners 209 (-0.18, 0.13, 0.36) residents 204 (-0.09, -0.17, -0.06) global 202 (-0.09, 0.11, -0.21) appropriations 200 (-0.01, 0.37, -0.06) animals 199 (-0.13, -0.17, 0.15) taxes 196 (-0.04, 0.13, -0.23) scientists 195 (-0.10, -0.07, 0.01) ______________________________________________________________________________ *Eigenvalues: 5.6608, 4.9291, 3.8051; Percentage Total Variance Per Factor: 5, 5, 4; Cumulative Percentage Total Variance: 5, 10, 14; Percentage Extracted Variance Per Factor: 39, 34, 26; Cumulative Percentage Extracted Variance: 39, 74, 100 Table 2. Themes in Wetlands News Articles ______________________________________________________________________________ Group Terms Coordinates 1, 2, and 3* ______________________________________________________________________________ (1) Agriculture agriculture, acreage, crop, growers, (0.16, -0.42, 0.50) producers, production, subsidies, benefits, rural (2) Conservation conservation, soil, erosion, farming, USDA, (-0.02, -0.35, 0.49) erodible, farmers, agricultural (3) Wetlands wetlands, restore, landowner (-0.16, 0.11, 0.12) (4) Economic economic, tax, budget, sensitive ( 0.38, -0.39, -0.20) (5) Jobs jobs, energy, Reagan, taxes, Bush, global ( 0.16, -0.33, -0.49) (6) Regulation regulation, laws, protection, logging ( 0.32, 0.47, -0.12) (7) Endangered endangered, species, court ( 0.09, 0.55, 0.09) (8) Rights rights, property, owners, taking, protecting ( 0.26, 0.51, 0.21) (9) Industry industry, waste ( 0.02, -0.01, -0.42) (10) Pollution pollution, clean, toxic ( 0.05, 0.07, -0.46) (11) Environment environment, urban, environmental ( 0.19, 0.14, -0.35) (12) Development development, EPA, forest, environmentalists (-0.01, 0.16, -0.31) (13) Spending spending, cost, funding ( 0.46, -0.28, 0.02) (14) Congress Congress, Dole, Clinton, appropriations ( 0.55, -0.02, -0.06) (15) Government government, American, debate ( 0.34, 0.10, 0.24) (16) Legislation legislation, lawmakers, vote, Republicans ( 0.60, 0.24, 0.10) (17) Runoff runoff, residents, beach, Everglades, island, (-0.33, 0.04, -0.07) project (18) Scientists scientists, plants (-0.18, 0.07, -0.14) (19) Permit permit, threatened (-0.19, 0.23, 0.06) (20) Preserve preserve, developers (-0.18, 0.20, 0.03) (21) habitat habitat, wildlife, water, flood, waterfowl, (-0.36, 0.13, 0.09) resources, duck (22) build build, rivers, natural, Corps, Engineers, animals (-0.32, 0.26, 0.00) (23) restoration restoration, fish, birds, marshes, lakes, population (-0.45, 0.13, 0.05) $CLIN [identifier code term in 1992-96 cases] ( 0.37, 0.28, 0.22) $BUSH [identifier code term in 1988-92 cases] (-0.14, -0.25, -0.14) $REAG [identifer code term in 1984-88 cases] (-0.30, -0.06, 0.02) ______________________________________________________________________________ Note. The themes are identified by clusters of terms occurring together, identified in hierarchical cluster analysis of frequently-occurring terms. *Eigenvalues: 2.3186, 1.9114, 1.6362; Percentage Total Variance Per Factor: 12, 10, 9; Cumulative Percentage Total Variance: 12, 22, 31; Percentage Extracted Variance Per Factor; 40, 33, 28; Cumulative Percentage Extracted Variance: 40, 72, 100 Figure 2. Concept Map of News Coverage of Wetlands, 1984-96. Figure 3. Dendogram Output of Hierarchical Cluster Analysis of Clustering Terms from Wetlands News Articles. Table 3. Major Themes Formed by Cluster Analysis of 23 Themes in Wetlands News Coverage (Frequently-Occurring Term Groups) ______________________________________________________________________________ Major Theme* Narrower Themes (Term Groups**) Included ______________________________________________________________________________ Habitat Restoration Permit, Preserve, Build, Habitat, Restoration, Wetlands, Runoff, Scientists Jobs/Development Industry, Pollution, Development, Environment, Jobs Regulation Legislation Government, Legislation, Endangered, Rights, Regulation Agriculture/Spending Agriculture, Conservation, Economic, Spending, Congress ______________________________________________________________________________ * Suggested by clustering schedule shown in dendogram in Figure 3 **Listed in Table 2 Table 4a. Prominence of Habitat Restoration Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Reagan Bush Clinton ______________________________________________________________________________ Mean: 13.31a 11.40b 10.10b SD: 10.77 10.43 10.38 n: 354 686 716 ______________________________________________________________________________ Note: Means in the same row that do not share subscripts differ at p < .05 by the Scheff test. Table 4b. One-Way Analysis of Variance for Prominence of Habitat Restoration Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Source df ss ms F Ratio ______________________________________________________________________________ Between Groups 2 2451.17 1225.59 11.15* Within Groups 1753 192601.55 109.87 Total 1755 195952.72 ______________________________________________________________________________ * p < .0001 Table 5a. Prominence of Jobs/Development Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Reagan Bush Clinton ______________________________________________________________________________ Mean: 6.64a 8.09b 6.26a SD: 9.50 9.48 6.68 n: 354 686 716 ______________________________________________________________________________ Note: Means in the same row that do not share subscripts differ at p < .05 by the Scheff test. Table 5b. One-Way Analysis of Variance for Prominence of Jobs/Development Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Source df ss ms F Ratio ______________________________________________________________________________ Between Groups 2 1246.69 623.35 8.72* Within Groups 1753 125340.70 71.50 Total 1755 195952.72 ______________________________________________________________________________ * p < .001 Table 6a. Prominence of Regulation Legislation Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Reagan Bush Clinton ______________________________________________________________________________ Mean: 3.80a 4.13a 10.07b SD: 4.32 3.74 12.34 n: 354 686 716 ______________________________________________________________________________ Note: Means in the same row that do not share subscripts differ at p < .05 by the Scheff test. Table 6b. One-Way Analysis of Variance for Prominence of Regulation Legislation Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Source df ss ms F Ratio ______________________________________________________________________________ Between Groups 2 15603.19 7801.60 109.36* Within Groups 1753 125057.29 71.34 Total 1755 140660.49 ______________________________________________________________________________ * p < .0001 Table 7a. Prominence of Agriculture/Spending Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Reagan Bush Clinton ______________________________________________________________________________ Mean: 8.15a 9.42a 11.33b SD: 12.76 12.07 10.51 n: 354 686 716 ______________________________________________________________________________ Note: Means in the same row that do not share subscripts differ at p < .05 by the Scheff test. Table 7b. One-Way Analysis of Variance for Prominence of Agriculture/Spending Theme in Wetlands News Coverage by Presidential Administration ______________________________________________________________________________ Source df ss ms F Ratio ______________________________________________________________________________ Between Groups 2 2696.11 1348.05 10.0004* Within Groups 1753 236305.53 134.80 Total 1755 239001.64 ______________________________________________________________________________ * p < .0001 Methods