Breaking with Stereotypes: How the Dutch Press Cover Female Politicians Leading Traditionally Male Ministries

Breaking with stereotypes: how the Dutch press cover female politicians leading traditionally male ministries

Student: Kelsey Bouwmeester Student ID: 10592962

Master Thesis Graduate School of Communication Master's program Communication Science: Political Communication University of Amsterdam Supervisor: Judith Möller Date: 29-06-2018 Wordcount: 7947

Summary

Underrepresentation of females in political positions is often in part ascribed to a structural gender bias in the media: female politicians are found to be portrayed in different, often less favorable, ways in the media than their male colleagues. Consequently, citizens are discouraged from voting for women and women are deterred from running for high political posts. This disadvantageous media attention is said to be the result of media logic; a theory that describes how journalists, in addition to institutional and technological factors, are influenced by personal values and deeply rooted stereotypes when determining what stories to pass through the gates and how to cover them. By entering the ‘masculine’ world of politics, female politicians break with stereotypes commonly held by journalists, and consequently receive less (favorable) media attention. Following this rationale, female politicians working in traditionally masculine workfields, like defense or economic affairs, break with two stereotypes and possibly open themselves up to even more disadvantageous media coverage. A content analysis of 900 Dutch newspaper articles published from 1993-2018 of 30 ministers in 4 (gendered) workfields tests this line of reasoning, but finds no significant connection between amount and type of press coverage in terms of visibility, tone and substantiality of media coverage and the sex and type of workfield of Dutch ministers.

Keywords: media gender bias, sex, gendered workfields, media coverage

Introduction

As of June 2016, still only 22.8 percent of all national parliamentarians around the world are women (UN Women, 2017). Some authors ascribe this underrepresentation of females in political positions in part to a structural gender bias in the media (Lawless, 2009); female politicians are said to be portrayed in different, often less favorable, ways in the media than their male colleagues, which discourages citizens form voting for women and deter women from running for high political posts (Wasburn & Wasburn, 2011, p.1028).

This study researches this phenomenon in a Dutch context and adds an important new angle by researching the possible role of the gendered fields politicians work in. By concentrating on newspaper coverage of male and female politicians in different workfields, focusing on education-culture and science, and public health- well-being and sports as stereotypical female workfields, and defense, and economic affairs as stereotypical male workfields, this research aims to answer the question: To what extent is the amount and type of press coverage in Dutch newspapers of male and female political leaders connected to their

(gendered) workfields?

Extant research into a gender bias in the media shows that women candidates receive less attention than their male colleagues (Kahn & Goldenberg, 1991 ; Kahn, 1994; Lühiste &

Banducci, 2016; Vos, 2013), receive more negative coverage than males (Kahn & Goldenberg,

1991; Kahn, 1994, ; Heldman, Carroll & Olson, 2005; Miller, Peake & Boulton, 2010) and receive coverage that is less often about substantive issues and more often personalized, mentioning their sex, family roles and appearance (Robertson, Conley, Szymczynska &

Thompson, 2002; Wasburn & Wasburn, 2011; Aday & Devitt, 2001). Lastly, ''to the extent that their issue positions are discussed, they will concern topics defined in American political culture

2 as 'women's issues' such as abortion, childcare, education and the environment, rather than 'men's issues' such as the economy, national security and military affairs'' (Wasburn & Wasburn, 2011, p.1028).

These differences in media coverage are often explained by the theory of media logic which describes how journalists make editorial decisions based on their own values and deeply rooted stereotypes (Lühiste & Banducci, 2016, p.226). One of these stereotypes that is commonly held by journalists is that politics is a masculine job and that ''what is means to be a

''women'' does not correspond well with expectations about what it means to be ''president''''

(Heldman et al., 2005, p.316). So, when women do run for high political posts, they break with that stereotype and their perceived role in society, with disadvantageous media attention as a consequence (Bystrom, Robertson, Banwart, 2001).

Interestingly, over the past few years, more and more women have become the political leaders of political departments that are culturally viewed as 'masculine', for example by being appointed minister of economic affairs (UN Women, 03-15-2017). By leading these departments, these women break with not one, but two stereotypes, possibly opening themselves up to even more disadvantageous media attention. This research aims to find out whether females working in stereotypical male fields indeed receive less (favorable) attention by the media as a consequence of the field they work in.

This question is important because people are not able to experience all politicians face- to-face; they are dependent on the media for political information they need to base their voting decisions on. So, if it turns out that women in general, or women in particular workfields more specifically, are structurally portrayed less (favorable) in the media than their male colleagues, this can ''discourage citizens from voting for women'' and ''dissuade women from running for

3 public office'' (Wasburn & Wasburn, 2011, p.1028). This is not only problematic from a gender equality point of view, but this also possibly keeps societies form having highly capable leaders, as research suggests that women outperform their male counterparts on many of the measures for leadership effectiveness (Zenger & Folkman, 2012).

While previous academic research focuses on part of the problem by investigating the differences in media coverage based on the sex of politicians, while controlling for factors such as incumbency, seniority and party-affiliation, apart from one study by Fernandez-Garcia (2016), no attention has previously been given to the (gendered) workfields these politicians operate in.

This is problematic, since research suggests that, when women overstep such traditional boundaries, the media tend to react by covering them differently (Fernandez-Garcia, 2016, p.145), indicating that gendered workfields might play a role in the relationship between politicians and media.

By analyzing Dutch newspaper articles published from 1993 till 2018, this study tries to fill this gap and researches the differences in media coverage based on the sex of the politicians as well as the gendered fields they work in. This way, the aim is to find out whether female politicians in general indeed receive less media coverage in terms of quantity and quality, and if this is due to their sex or to the fields they work in.

This article continues with an overview of academic research in the fields of gender, political leadership and media, describing previous findings on the differences in media coverage in more detail. Next, the method and data used for this study are discussed, as well as the results.

Lastly, the discussion describes the main findings and place this article into its context.

Politicians, Gender and the Media

The concept of media logic, defined as “the institutional, technological and sociological characteristics of the news media, including their format characteristics, production and dissemination routines, norms and needs’’ (Strömbäck, 2011, p.373 in Cushion, Thomas, Kilby,

Morani & Sambrook, 2016, p.473), describes the way in which media content is editorially shaped and structured by journalists. Following the theory of media logic, journalists are not

“passive conduits of political information”. Rather, they make editorial decisions based on not only institutional and technological factors, but also on their own values and deeply rooted stereotypes (Lühiste & Banducci, 2016, p.226). These values are used by journalists to judge the newsworthiness of a story, and help them select what stories to write about and how to write them (Major & Coleman, 2008, p.318). So even when journalists strive for objective reporting, their editorial decisions are always influenced by the culture in which they live and by the ideas and stereotypes that are part of that culture (Heldman, Carroll, Olson, 2005, p.316).

A stereotype that is commonly held by journalists, is that what it means to be a woman does not correspond well with expectations about what is means to be in politics (Heldman et al.,

2005, p.316). When women do run for high political posts, they break with that stereotype and their perceived role in society, with criticism from the media as a consequence (Bystrom,

Robertson, Banwart, 2001, p.2002).

Moreover, according to the theory of gender ownership of issues ''female candidates are culturally viewed as better at handling ''compassion issues'', such as health care and education, while, as supposed protectors and breadwinners, male candidates are viewed as better equipped to handle national security and the economy'' (Herrnson et al., 2003). Women leading political departments in stereotypically male fields thus break with two stereotypes, possibly leading to

5 even more negative attention from the media in terms of visibility, tone and substantiality, than women working in stereotypically more feminine fields and males working in either fields

(Fernandez-Garcia, 2016, p.145).

Visibility

One of the most researched issues is whether male and female politicians receive the same amount of media coverage, often called visibility. Media visibility is paramount for politicians because this ensures recognition by voters, and recognition is an important term for vote choice

(Kahn, 1994, p.154).

Following media logic, it is likely that female politicians are less visible in the media because their position does not correspond well with commonly held views by journalists, who generally believe males to be the most important actors in the political sphere. Consequently, stories starring female politicians have less chances of making it past the gates (Major &

Coleman, 2008). When leading stereotypical male fields, women place themselves in a context that is traditionally even more occupied by male actors, possible leading females working in these fields to have even less chances of making it into the news.

Pioneer research into the possible differences in media visibility of male and female politicians indeed shows that female politicians in the US indeed receive less coverage than their male colleagues (Kahn & Goldenberg, 1991; Kahn, 1994). However, more recent research shows no gender bias in the amount of coverage candidates receive (Devitt, 2002; Hayes & Lawless,

2015; Lavery, 2013) or even an advantage for female politicians when it comes to media visibility (Wasburn & Wasburn 2011; Bode & Hennings, 2012; Miller, Peake & Boulton, 2010;

Jalalzai, 2006; Bystrom, Robertson & Banwart, 2001; Fowler & Lawless, 2009).

These different findings might be due to one of two things, or a combination of the two.

Firstly, the differences could possibly be explained by the time period that was investigated, which would mean that journalists gave female politicians less media attention in the past but now give females equitable amounts of media attention or even more media attention than males.

Secondly, it could be explained by the type of race that was researched. Research on media visibility of candidates from US house elections found no gender bias in either direction

(Hayes & Lawless, 2015; Lavery, 2013), whereas visibility research found an advantage for female candidates in (vice)presidential elections (Wasburn & Wasburn, 2011; Bode & Hennings,

2012; Miller et al., 2010). Research into media-visibility of male and female candidates in senatorial races is mixed; Kahn (1994) and Kahn and Goldenberg (1991) found a clear pattern disadvantaging women, whereas Jalalzai (2006) and Bystrom and colleagues (2001) found a pattern disadvantaging men. So, when it comes to senatorial races, time and type of race most likely both interact in the relationship between sex and visibility.

Research on visibility of male and female politicians outside the US paint a more univocal picture. Although numbers on the amount of differences between media coverage of male and female politicians differ, most researchers agree that, in Europe, female politicians receive less media coverage than their male colleagues (Vos, 2013; Midtbo, 2011 & Ross, Evans,

Harrison, Shears & Wadia, 2013).

Contrary to US research, O'Neill, Savigny and Cann (2016) even find a trend that women female politicians in the UK are actually becoming less visible over the years (p.299). Which would mean that time interacts in the relationship between politics and media in a different way in a European context compared to the US context.

Three articles include other factors that might influence the relationship between sex and

7 media visibility. Firstly, Sametko and Boomgaarden (2007) show that the two candidates from the 2005 Bundestag election in Germany, Merkel and Schröder, were roughly equally visible in the media. However, more generally, ''without Merkel's presence in the campaign, the share of female political actors would have been considerable lower'' (p.158), indicating that personality might play a role. Secondly, Dan and Iorgoveanu (2013) find that ''women dominated the tabloid outlets'' and ''men were more featured prominently in the broadsheets'' (p.208), indicating a role for media-type. Lastly, only Fernandez-Garcia (2016) researches the possibility of a role for type of workfield that interacts in the relationship between sex and visibility, and finds that ''women occupying high-prestige portfolios (like finance) obtain even greater visibility than their actual presence in the cabinet. A pattern that is not shown in medium (like health care) and low-prestige

(like education) policy areas'' (p.151).

Based on these previous findings this research will investigate the following hypotheses:

H1a Male political leaders working in stereotypical male fields, and in second place male political leaders working in stereotypical female fields will receive the most coverage

H2a Female political leaders working stereotypical female fields will receive less coverage

H3a Female political leaders working in stereotypical male fields will receive the least coverage

Tone

To be successful in politics, politicians not only need to garner media coverage, they need this coverage to be favorable in tone (Kahn, 1994). However, following media logic theory, dominant male culture influences journalists’ views and consequently creates media content that perpetuates the stereotypical portrayal of women (Major & Coleman, 2008). This includes

8 portraying them as not capable of leading political departments (Setzler & Yanus, 2017, p.767), resulting in negatively toned media coverage for females that do work in politics. When leading stereotypical male workfields, female politicians overstep two traditional boundaries, possibly leading the media to react by covering them even more negatively (Fernandez-Garcia, 2016).

When the tone of the media coverage is indeed more negative for female politicians in general, or for female politicians in stereotypical male workfields more specifically, this can have negative consequences for the electoral chances of these politicians which are not based on their competence but solely because their sex and perhaps the field they work in do not correspond with commonly held views about political leadership.

Studies from 1991 (Kahn & Goldenberg) and 1994 (Kahn) find a disadvantage for female candidates running for senate in terms of the tone, while Smith (1997) finds that females running in senatorial and gubernatorial races in 1994 received mostly neutral coverage and males received more negative coverage. He emphasizes the exceptionality of this finding and states that

''this finding may be due to nothing more than peculiarities of the 1994 campaigns'' (p.78).

Interestingly however, more recent research from Robertson et al. (2002) again finds that women in senatorial and gubernatorial races were treated significantly more favorable than their male competitors.

Research into the tone of media coverage of in US (vice)presidential races finds however quite consistently that females receive significantly more negative coverage than males

(Heldman et al., 2005; Miller et al., 2010; Conroy et al., 2015). Indicating that, as with the quantity of coverage, findings about a gender bias in tone of coverage in US media is mixed and might be explainable by the time period and/or type of race that is researched.

Research into the tone of male and female coverage in Europe show however no clear

9 pattern. While no significant differences in the tone of coverage of male and female politicians is found in Germany (Sametko & Boomgaarden, 2007, p.162), Lühiste and Banducci (2016) find that, on average in the EU, female politicians are evaluated more positively than the male politicians, and Midtbo (2011) finds that women in Norway are more likely to be evaluated more negatively than male politicians. Lastly, Fernandez-Garcia (2016) finds that in Spain, media coverage of politicians is mostly neutral. However, ''female ministers nominated to a high- prestige portfolio get a lower negative tone than female ministers who receive medium and low- prestige portfolios'' (p.155), indicating again that media coverage might be conditional on the type of post the women holds.

Based on these previous findings and expectations following media logic, this research will investigate the following hypotheses:

H1b Male political leaders working in stereotypical male fields, and in second place male political leaders working in stereotypical female fields will receive most positive coverage

H2b Female political leaders working stereotypical female fields will receive less positive coverage

H3b Female political leaders working in stereotypical male fields will receive the least positive coverage

Substantiality of coverage

Besides the visibility in, and tone of media coverage, research focuses on the substantiality of the media coverage politicians receive, here divided into the amount of issue-coverage, amount of personalized coverage and amount of references to the sex of politicians.

Following media logic theory, journalists are likely influenced by living in a society in which people tend to appreciate women for their caring capacities and their looks and tend to believe women’s levels of political knowledge to be inferior to men’s, especially when it comes to issues that are less directly relevant to women’s lives (Dolan, 2011). This possibly influences the way journalists interpret stories about female politicians (working in stereotypical male workfields), leading to less issue-coverage and more personalized coverage for these politicians.

Issue-coverage

Issue-coverage, defined as stories that describe political issues or public controversies (Slothuus

& De Vreese, 2010), is important for politicians because ''voters think about policy considerations, in addition to the candidates' viability when evaluating candidates for office''

(Kahn, 1994, p.154). If the press focusses more extensively on political issues for candidates of a certain sex and/or that are working in a certain field, voters may come to believe that these candidates are more knowledgeable about issues than their competitors, meaning an advantage for these politicians trying to gain or stay in office.

Research into the amount of issue coverage of male and female candidates in

(vice)presidential races in the US does indeed show that women receive less issue-attention than their male colleagues (Heldman et al., 2005; Aday & Devitt, 2001; Wasburn & Wasburn, 2011).

Studies researching issue-coverage in the media for male and female candidates running in US house elections show however no significant difference (Hayes et al., 2015; Lavery, 2013; Smith,

1997).

Moreover, research in the context of senatorial and gubernatorial races find either significantly less issue-attention for female politicians (Kahn & Goldenberg, 1991; Kahn, 1994;

Devitt, 2002, Dunaway et al, 2013), or the exact opposite (Jalalzai, 2006; Fowler & Lawless,

2009). These different findings are hard to explain, since all authors researched the same type of race and media, within the same country and used comparable operationalizations for the measurement of issue-coverage. One possible explanation would again be the time period under investigation, however the results do not follow a logical time path. Studies with data from the

1980's show more issue-coverage for males (Kahn & Goldenberg, 1991; Kahn, 1994), studies with data from the 1990's show more issue-coverage for females (Jalalzai, 2006; Fowler &

Lawless, 2009) and the one study with data from the 2000s show again more issue-coverage for males (Dunaway et al., 2013).

To my knowledge, only one article researched this question in a European context, and the findings are mixed: although O'Neill and colleagues (2016) find that a great deal of the coverage female politicians received was ''surprisingly straightforward, focusing on reports about policy'' (p.301), however, they also found male MPs appeared in more straightforwardly political stories, whilst female politicians appeared in more stories related to wider society or events

(p.300).

By testing the following hypotheses, the extent to which the amount of issue-coverage is linked to the sex and type of workfield Dutch politicians work in will be researched:

H1c Male political leaders working in stereotypical male fields, and in second place male political leaders working in stereotypical female fields will receive most issue-coverage

H2c Female political leaders working stereotypical female fields will receive less issue-coverage

H3c Female political leaders working in stereotypical male fields will receive the least issue- coverage

Personalized coverage

Personalized coverage is defined as stories that elaborate on politicians’ personal characteristics, non-political traits and private lives (Trimble, Wagner, Sampert, Rapheal & Gerrits, 2013). By describing the physical appearance, lifestyle and family(role) of a politician, a women's 'other'- status in the male dominated world of politics in emphasized (Vos, 2013, p.391). This type of coverage disadvantages women, because it suggests they are not fit for the (masculine) political job.

The lion share of literature shows that females running in different types of US races indeed receive more personalized coverage than their male competitors (Wasburn & Wasburn,

2011; Bode & Hennings, 2012; Aday & Devitt, 2011; Heldman et al., 2005; Robertson et al.

2002; Banwart et al, 2003; Bystrom et al., 2001; Devitt, 2002; Fowler & Lawless, 2009; Conroy et al., 2015).

Only Lavery (2013) finds no statistically significant gender difference in personalized coverage in the US, and Major and Colemann (2008) do not find significantly more mentions of females’ candidates appearance. Possibly, the divergent finding of Lavery (2013) is due to the media-type under investigation. Unlike the other researchers who focus on print media, Lavery researches television data. Secondly, the unique finding of Major and Colemann might be explained by the context of their study. Unlike other studies that use data from different races and different states, they only researched newspapers form Louisiana, possibly hurting the generalizability of their findings.

Evidence from non-US research seem less extreme. O'Neill et al (2016) argue that personalized stories for all politicians in the UK were on the rise, however, they found that ''the gap between women and men with regards to personal focus is widening'' (p.300), Garcia-Blanco

13 and Wahl-Jorgensen find that, in France, Italy, Spain and the UK, references to female politicians' appearance were not as prominent, however these types of references were still present in the press coverage (2012, p.437), and Dan and Iorgoveanu (2013) find that, in

Romania, a limited amount of remarks about the candidates' appearance were present, however female candidates still received a larger share than their male colleagues (p.222). Lastly, in

Spain, women are more likely to have their marital status, family and appearance emphasized in the coverage (Fernandez-Garcia, 2016, p.153). However, she again emphasizes the importance of the prestige of the ministries, stating that ''male and female minister appointed to high-prestige portfolios obtain fewer mentions to their personal life than male and female cabinet members pointed to medium and low prestige policy areas'' (p.153).

Again, these findings seem to support the line of reasoning based on the media logic theory. Also, according to the work of Fernandez-Garcia (2016), workfield might play a role in the relationship between sex and personalized coverage. The following hypotheses will therefore be tested in this study:

H1d Male political leaders working in stereotypical male fields, and in second place male political leaders working in stereotypical female fields will receive least personalized coverage

H2d Female political leaders working stereotypical female fields will receive more personalized coverage

H3d Female political leaders working in stereotypical male fields will receive most personalized coverage

Sex

Emphasizing the sex of female politicians in news coverage has a similar consequence as does personalized coverage: by describing a women politician as a woman, ''she is defined by what she is not, that is, she is not a 'typical' politician'' (Ross, 2004 in Vos, 2013, p.391). Again, emphasizing she is a woman in a men's world and is therefore not fit for the political job, thereby hurting females’ electoral chances.

Almost all of the US-centered research concludes that significantly more mentions of sex are made in press coverage of female politicians than of male politicians (Robertson et al, 2002;

Major & Colemann, 2008; Banwart et al. 2003; Heldman et al. 2005; Bystrom et al., 2001).

European-centered research finds similar results; in Romania, journalists emphasize candidate sex for the female candidates (Dan & Iorgoveanu, 2013), in Spain, newspapers are more likely to mention the sex of women ministers than of male ministers (Fernandez-Garcia,

2016), and in Germany, sex was explicitly emphasized in news stories (Sametko &

Boomgaarden, 2007). However, ''this was never the case when only Schröder (the male candidate) was mentioned in a news story” (p.165, additions in brackets not from original quote).

Only two articles find contradictory evidence. Hayes and Lawless (2015) find no proof that sex is related to the number of references to a candidates’ sex in US politics (pp.100-101), and Wagner (2011) find that, in Canada, male candidates were even twice as likely than female candidates to see local journalists highlight their sex (p.44). However, Wagner emphasizes that

''journalists typically gendered men in their individual profiles, where it is common to share personal and professional details about a candidate, and less often in news stories. In contrast, they included gender remarks for women candidates in news stories as often as they did in profiles, suggesting a women's gender plays a subtle role in her evaluation as a prospective

15 municipal politician'' (pp.44-45).

Overall, the findings seem to support the idea that female politicians receive more mentions to their sex than their male counterparts. To research this in a Dutch context, the following hypotheses will be tested:

H1e Male political leaders working in stereotypical male fields, and in second place male political leaders working in stereotypical female fields will receive less mentions of their sex

H2e Female political leaders working stereotypical female fields will receive more mentions of their sex

H3e Female political leaders working in stereotypical male fields will receive most mentions of their sex

Lastly, since several authors found differences in the way male and female politicians were portrayed as a consequence of media type (Dan & Iorgoveanu, 2013; Semetko & Boomgaarden,

2007), and since findings seem to differ over time, the last two hypotheses are tested:

H4: Tabloid newspapers will advantage female politicians in their coverage, and quality newspapers will advantage male politicians in their coverage.

H5: The differences in the amount and type of coverage between female and male political leaders will decrease over time.

Method

Data collection

To research to what extent the amount and type of press coverage of male and female political leaders is connected to their (gendered) workfield, based on the theory of gender ownership of issues, newspaper coverage of ministers1 in the stereotypical male fields of economic affairs and defense and in the stereotypical female fields of education-culture and science and public health- well-being and sports is gathered over a time period of 25 years2.

Within these past 25 years, nine different women and 21 different men occupied the four minister posts under investigation, resulting in a sample of 30 ministers in total3. For a detailed description of ministers and their workfields that are included in the sample, see appendix A.

Newspaper articles about the 30 ministers were gathered in two ways. Firstly, an automatic content analysis was carried out to determine the total amount of articles published of these 30 ministers in 12 Dutch national newspapers, using the new database LexisNexis. The sample of 12 newspapers used for the search includes both 'tabloid' newspapers, like the

Algemeen Dagblad and the Telegraaf, and 'quality' newspapers, like the Volkskrant, NRC

1 Ministers are selected as the way to define political leadership because ministers are clearly linked to a specific workfield, and they are considered to be the leaders of these fields; they come up with policies and are responsible for all events concerning their departments. 2 This time period is firstly selected because the engine used to search for relevant newspaper articles, LexisNexis, only includes articles from 1980 – present. Secondly however, from 1980-1994, only one female occupied any of the four minister posts that are part of this study. Therefore, a more limited selection of 25 years is made. 3 For the final selection, two ministers are (partly) excluded from the sample. Firstly, minister Zalm has been minister of economic affairs, however, he was only in office for 5 days. It seems unlikely that media coverage of this minister in such a short period of time is a good reflection of media coverage of minister in their (gendered) workfields in general, and is therefore excluded from the sample. Secondly, minister Hoogervorst has also been a minister of economic affairs, however, during the same time, he was also the minister of finance. A random sample of the articles about minister Hoogervorst published during his time in office as minister of economic affairs and minister of finance show that, by far, most articles are about him as a minister of finance, and not about him and his work for the economic affairs department. Since this research focuses on the amount and type of press coverage of ministers in specific workfields, of which finance is excluded, minister Hoogervorst is not included in the sample for his work as minister of economic affairs

Handelsblad and Trouw (Boukes and Vliegenthart, 2017)4.

To carry out the automatic content analysis, a search was done starting with the word minister and ending with the last name of each of the 30 ministers under investigation5. For every minister, the search period was aligned with the exact period the politician was in office as a minister of one of the four selected minister posts. The automatic content analysis brought about a total of 87079 articles.

Additionally, a manual content analysis was done to determine the visibility in coverage in more detail, and to determine the tone and the substantiality of the newspaper coverage. Using random selection, 30 articles out of the total amount of articles found by LexisNexis of each minister was selected to manually code using an elaborate codebook, resulting in a total sample of 900 articles6. Of each article, the title, newspapers it was published in, publication date, minister and ministry he or she was working for was listed7. For a description of the measures used to determine the amount and type of newspaper coverage of Dutch ministers, as well as descriptive information of these measures, see appendix B. The codebook with the exact questions and scales is included as appendix C.

4 For the purposes of this research, news coverage is researched in terms of newspaper articles, because, according to a recent report by the SCP, ''classic media is still consulted by a larger part of the Dutch public for (political) news than online media is'' (translated quote from report 'Nederlanders en nieuws', SCP, 2017, p.31). 5 For female ministers that carry both their maiden name and their married name, only their married name was used for the search since this produced the most results, indicating that this way the least number of articles are missed. 6 Two ministers in the sample occupied two of the four minister posts that are of importance for this research. In those two cases, the 30 coded articles of both ministers are divided between the two posts. 7 Because of the importance of analyzing the coverage of the ministers in a specific workfield, and because many of the ministers in the sample have had minister posts in different workfields, all articles in the initial sample for a minister that indeed has had different minister posts, and from which the article did not specify for which ministry the minister was working, were later excluded from the sample, and replaced with articles that did specifically state the ministry the minister was working for at that time

Intercoder-reliability

To test the reliability of the data gathered by the manual content analysis, a second coder was trained to code a subsample of the articles. The second coder is a Master student of Political

Communication studies at the University of Amsterdam and is a native Dutch speaker. After elaborate coder training and reaching agreement on the codebook, the second coder coded a subset of 77 articles (8,5%) of the sample. More detailed information about the procedure of coder training can be found in appendix D.

As shown in appendix B, results of a Krippendorff's Alpha test of the subsample of 77 articles shows scores between .38 and .1, with most of the measures falling well above the threshold generally accepted in social sciences8 (Lombard, Snyder-Duch & Bracken, 2002, p.593).

Results

Visibility

Table 1 shows the results for the visibility of male and female ministers in newspaper coverage.

As shown, while male ministers are more visible in terms of the number of articles and the placement of the articles, female ministers are more visible in terms of frequency of references in a single article and the length of an average article. Additionally to showing no clear pattern, independent t-tests show that the differences between male and female ministers on all visibility

8 The variable measuring the amount of issue-coverage shows to be problematic, but is needed for an adequate answer to the research question and is therefore not excluded from this study. However, any conclusions drawn from this measurement should be made with caution. Also, the Krippendorff's Alpha score for 'tone' is slightly less than eligible, however, given the widely known difficulty of measuring the tone of a text in social research, I find this score reasonable and will use this variable for analyses. Lastly, as shown, it was not possible to calculate the Krippendorff's Alpha for the variables physical appearance and family(ties), since there was too little variance in the measurements. However, the percentage agreement for both variables was 100 percent, as a result, the variables physical appearance and family(ties) are included in the analyses and deemed trustworthy.

19 measures are not significant.

Table 1

Newspaper visibility of male and female ministers

Visibility

Measures Male ministers Female ministers Independent T-test

Number of articles M=2.64, SD=1.46 M=1.94, SD=1.25 T(30)=1.30, p=0.203

Frequency of M=1.27, SD=1.01 M=1.3, SD=1.07 T(989)=-0.42, p=0.678 references

Wordcount M=436.76, SD=327.30 M=478.03, SD=397.24 T(897)=-1.62, p=0.105

Page number M=7.78, SD=10.33 M=8.52, SD=7.62 T(769)=-0.98, p=0.326

Table 3, describing the differences in visibility for Dutch ministers based on both their sex and their gendered workfield shows again no clear pattern. Although male ministers working in stereotypical female fields are most visible in terms of number of articles, frequency of references in a single article and page the articles are placed on, they are least visible in terms of the length of the articles. Also, whilst male ministers working in stereotypical female fields score lowest on the wordcount measure, the other three groups score lowest on the other three measures.

Moreover, the differences between the four groups on the different measures are small.

Firstly, all ministers, are on average mentioned two or three times in articles that describe them.

Secondly, newspaper articles about both male and female ministers in either workfields are between 400 and 500 words in length and thirdly, articles about all ministers, except males working in stereotypical female fields, are placed on average on page 8 of a newspaper. The only

20 considerable difference was found between female ministers working in stereotypical male fields and male ministers working in stereotypical female fields in terms of the number of articles they are mentioned in: the former received almost half of the media attention than the latter. One-Way

ANOVA tests showed that the differences between the four groups on all four measures of visibility are however not significant. Hypotheses H1a, H2a and H3a are therefore not supported.

Tone

Results show that female ministers receive slightly less positive coverage (M=-0.29, SD=0.73) than their male colleagues (M=-0.27, SD=0.69). The difference is however very small and not significant t(898) = 0.28, p=0.780. Furthermore, both male and female ministers have received both very positive (+2) and very negative (-2) press coverage.

Table 3 shows that the average tone of all groups of ministers is between 0 and -1, meaning that the coverage of all ministers, despite their sex and workfield, is between neutral and slightly negative. Moreover, A One-Way ANOVA shows that the differences between the four groups is not significant. Hypotheses H1b, H2b and H3b are therefore not supported.

Substantiality of coverage

Issue-coverage

In 72 percent of the articles mentioning female ministers, the positions of the minister regarding substantial policies are at the center of the article (M=0.59, SD=0.71), for their male colleagues this is only the case in 65 percent of the articles (M=0.45, SD=0.80). An independent T-test shows that this difference is significant t(897)=-2.40, p=0.017, meaning that female ministers receive significantly more issue-attention in their newspaper coverage than do males.

Table 3 shows moreover that females in stereotypically male fields receive most issue- coverage, followed by females in stereotypically female fields and males working in stereotypically female fields. Male ministers working in stereotypically male fields surprisingly receive least issue-coverage. The differences between these four groups are significant. PostHoc analyses using Turkey's HSD indicated that females working in stereotypically male workfields received significantly more issue-coverage than did male ministers working in stereotypically male workfields (p=0.038), but amount of issue-coverage did not differ significantly between the other groups.

The results do not support the hypotheses. In fact, the findings for issue-coverage support almost the exact opposite. Therefore, H1c, H2c and H3c are not accepted

Personalized coverage

In only four of the 900 articles researched, a mention is made to the family of a minister, and in only eight of the 900 articles, a reference was made to the appearance of a minister.

Unexpectedly, in nine out of these twelve articles, the minister of subject was a male. However, table 2 shows that both the differences between males and females in terms of references to family and appearance are not significant.

Three of the four times the family of a politician was mentioned, this was the case for a male minister working in a stereotypically female workfield, the other time it was for a male minister working in a stereotypically male workfield. Table 3 shows however that the differences between the four groups in terms of references to family are not significant.

Also, of these eight articles that mentioned the appearance of the ministers, two were made in articles describing a female minister in a stereotypical male field, two in articles

22 describing a male minister in a stereotypical female field, and four in articles describing a male minister in a stereotypical male field. Not one article described the way a female minister working in a stereotypical male field looked. A One-Way ANOVA showed that the differences between the four groups in terms of number of articles mentioning appearance was again not significant.

Taken together, these findings show that personalized coverage is actually scarce in

Dutch newspaper coverage of ministers. When mentions to the family or appearance of ministers are made, this is slightly more often the case for male ministers than for female ministers. H1d,

H2d and H3d are therefore not accepted.

Table 2

Amount of personalized coverage for male and female politicians

Personalized coverage

Measures Males Females Independent T-test

References to family M=-0.99, M=-0.1, SD=0.00 t(898) = 1.31, p=0.190

SD=0.08

References to appearance M=-0.99, M=-0.99, SD=0.17 t(898) = -0.37, p=0.710

SD=0.12

Mentions of sex

In 13.7% of coverage of female ministers, an explicit reference is made to their sex (N=37). For male ministers this is the case in 11.8% of their coverage (N=74). The differences between the male (M=-0.87, SD=0.38) and female ministers (M=-0.38, SD=0.46) is however not significant

23 t(898) = -1.25, p=0.212.

As shown in table 3, female ministers working in stereotypically male fields receive most coverage emphasizing their sex, next come male ministers working in stereotypically female fields, indicating that working in a field that does not stereotypically fit the sex of oneself produces most coverage explicitly referencing sex. Moreover, this effect is stronger for women than it is for men.

However, the differences with the other two groups are again small and not significant.

Meaning that, although the results are mostly in the expected direction, H1e, H2e and H3e cannot be supported.

Type of newspaper & year of publication

Lastly, linear regression analyses were carried out to test for a potential interaction effect of type of newspaper (tabloid versus quality) and year of publication on the relationship between both sex and media coverage and sex, workfield and media coverage of Dutch ministers. No significant results were found, meaning that neither the type of newspaper, nor the year the news article was published in, moderates the relationship between the sex of the minister and the field he or she is working in and all of the measures for amount and type of newspaper coverage.

Hypotheses H4 and H5 are therefore not supported. For the exact test results see appendix E.

Table 3 Visibility, tone and substantiality of coverage of male and female politicians in stereotypical male and female workfields Male Male Female Female One-Way ministers in ministers in ministers in ministers in ANOVA male fields female fields male fields female fields Visibility Number of M=2.41, M=2.98, M=1.55, M=2.21, [F(3, articles SD=1.45 SD=1.48 SD=1.03 SD=1.40 28)=01.02, p=0.401] Frequency of M=1.21, M=1.35, M=1.29, M=1.31, [F(3, references SD=1.08 SD=1.05 SD=1.0 SD=1.02 896)=0.98, p=0.401] Wordcount M=457.89, M=408.58, M=479.62, M=477.02, [F(3, 895)=- SD=311.02 SD=346.41 SD=381.97 SD=407.87 0.98, p=0.326] Page number M=8.59, M=6.68, M=8.25, M=8.71, [F(3, SD=11.23 SD=8.87 SD=6.45 SD=8.36 767)=2.12, p=0.970] Tone Tone M=-0.26, M=-0.28, M=-0.20, M=-0.35, [F(3, SD=0.66 SD=0.71 SD=0.66 SD=0.76 896)=0.99, p=0.398] Substantiality Issue-coverage M=0.39, M=0.54, M=0.62, M=0.57, [F(3, SD=0.81 SD=0.78 SD=0.70 SD=0.72 895)=4.07, p=0.007] Appearance M=-0.99, M=-0.99, M=-0.96, M=-0.1, [F(3, SD=0.14 SD=0.09 SD=0.28 SD=0.00 896)=1.82, p=0.142] Family(ties/roles) M=-0.1, M=-0.99, M=-0.1, M=-0.1, [F(3, SD=0.00 SD=0.11 SD=0.00 SD=0.00 896)=1.38, p=0.247] Sex M=-0.89, M=-0.84, M=-0.80, M=-0.85, [F(3, SD=0.34 SD=0.43 SD=0.49 SD=0.44 896)=1.46, p=0.223]

Discussion

Unlike most European-centered research (Vos, 2013; Midtbo, 2011; Ross et al., 2013), analysis of visibility of male and female ministers in Dutch newspapers show no significant advantage for ministers based on their sex. Also, unlike Fernandez-Garcia (2016), this study found no significant effect for type of workfield on the relationship between sex and visibility, meaning that the amount of press coverage in Dutch newspapers for male and female political leaders is thus not connected to the gendered fields they work in.

Analyses of the tone and amount of personal coverage show moreover that coverage of

Dutch political leaders is very balanced: the tone of coverage for all ministers is between neutral and slightly negative and the differences between the groups in terms of tone were very small and insignificant. Moreover, personalized coverage turned out to be almost absent from the coverage. Although this finding is striking, it is mostly in line with studies researching personal coverage in other European countries that find a limited amount of references to the appearance and family(life) of ministers (Garcia-Blanco & Wahl-Jorgensen, 2012; Dan & Iorgoveanu, 2013).

The only significant results in this study were found for the amount of issue-coverage.

Contrary to my expectations, and contrary to findings from several studies (Heldman et al., 2005;

Aday & Devitt, 2001; Wasburn & Wasburn 2011) female ministers received significantly more issue-attention than their male colleagues in general, and females working in stereotypically male workfields received significantly more issue-attention than did male ministers working in these fields. Conclusions based on these findings should however be made with caution, since the intercoder reliability of the measurement used to determine this variable was low

(Krippendorff's Alpha=.38).

Only one variable suggested a role for type of (gendered) workfield in the direction I

26 expected; female ministers working in stereotypically male fields and male ministers working in stereotypically female fields receive most coverage emphasizing their sex. This indicates that working in a field that does not stereotypically fit the sex of the minister him- or herself produces most coverage explicitly mentioning sex. Although these findings are for the most part in the expected direction, they are not significant and did therefore not support the hypotheses.

Taken together, these results do not support the idea that the amount and type of press coverage in Dutch newspapers of male and female political leaders is connected to their

(gendered) workfields. Moreover, the results do not even support the well-researched theory that the amount and type of press coverage significantly differs between ministers based on their sex, thereby mostly disadvantaging female politicians (Kahn & Goldenberg, 1991; Kahn, 1994).

The most likely explanation for these divergent findings is the case selection; this study is based on data from the Netherlands of the past 25 years. Currently, the Netherlands ranks as 32nd country of the world when it comes to gender equality and has been at the top for many years prior (World Economic Forum, 2017). It could very well be that, due to being brought up in a comparatively gender equal society, Dutch journalist uphold high gender equality norms and are not that affected by gender-based stereotypes that are deeply rooted in less gender equal societies, or societies that have not had gender-equality for a long time. As a result, it is likely that Dutch journalists do not see politics solely as a men’s job and therefore do not systematically differentiate in the amount and type of coverage they give male and female ministers, not even when these ministers overstep a second traditional boundary and start working in fields that stereotypically do not match their sex. Moreover, finding no significant interaction effects for the sex and type of workfields of ministers and both type of newspapers and year of publication strengthens the thought that Dutch journalists across the board are not strongly affected by

27 stereotypes that depict politics as a masculine world in which females have no place, and have not been affected by this over the past 25 years.

The theory of media logic, that describes how, in addition to technological and institutional factors, journalists’ views influence the media coverage they create, still applies in this context, but likely works in the opposite direction. Beliefs about political competence of still color the way journalists judge the newsworthiness of stories, but result in an equal amount and type of news coverage for all politicians, despite their sex and field they work in, because Dutch journalists believe that these politicians are equitably capable.

This study contributes to the limited research into a possible gender bias in media coverage in Western-European countries and adds an important new angle by researching the possible role of the gendered fields political leaders work in. That being said, as with every research, this study suffers from some limitations. Firstly, this study only researched a sample of

900 articles, which comes down to about 1% of all newspaper articles describing the ministers of interest over the past 25 years. Although the selection has been completely random, a larger sample would have given more certainty about the generalizability of the findings to the rest of the coverage. Secondly, this research has focused solely on newspaper articles, and thus excludes political information about ministers coming from television and new media. Although newspapers are an important source for political information for a large part of the Dutch public, television and new media do play a significant role in the interaction between politicians, journalists and the public and influences the public in how they view politicians.

Future studies should focus on these issues, and research a possible gender bias in both traditional and new media from the same context to see whether the findings of this study are confined to newspaper coverage or can be found in media coverage in general. Secondly, it is

28 important to continue researching the role of workfields in media coverage of male and female politicians outside the context of the Netherlands, in an effort to determine the generalizability of these results to other countries. Possibly, journalists in countries with less gender-equal cultures are more affected by traditional stereotypes and do cover female politicians in stereotypical male workfields less (favorable). The best way to study this would be by comparing media coverage of male and female politicians in different workfields in both comparatively gender-equal and gender-unequal societies.

Additionally, studies researching the role of journalists' gender norms and the media coverage they create is of great importance for a deeper understanding of the relationship between media and politics and can possibly be an important part of trying to understand the differences in media coverage of male and female politicians in different workfields. Studies combining survey research, determining the stereotypes held by journalists, and content analysis of the news coverage created by these journalists will be meaningful and will help understand the weight of sociocultural factors as compared to institutional and technological ones in the process of creating media content.

Until then, this research has shown that we should be careful with making big claims about a worldwide structural gender bias in the media and understand that, at least in the context of the Netherlands, there seems to be no structural gender bias that dampens the chances of women for high political functions. From the point of view of gender equality, the findings of this study are reassuring, since they demonstrate no structural gender bias in Dutch media coverage that might lead to discourage citizens from voting for women and deter women for running for high political posts. Also, according to these findings, press coverage should be no impediment for females to lead departments that are traditionally more assigned to males.

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Appendix A – Distribution of male and female ministers in stereotypical male and female workfields

Table 4 Distribution of male and female ministers in stereotypical male and female workfields Female ministers in Female ministers in Male ministers in Male ministers in stereotypical female stereotypical male stereotypical female stereotypical male workfields workfields workfields workfields Minister van Minister Bijleveld Minister Plasterk Minister Kamp Engelshoven Minister Bussemaker Minister Hennis Minister Rouvoet Minister Hillen Minister Bijsterveldt Minister van Der Minister Hermans Minister van Hoeven Middelkoop Minister van der Minister Jorritsma Minister Ritzen Minister Korthals Hoeven Minister Borst Minister de Jonge Minister de Grave Minister Schippers Minister Klink Minister Voorhoeve Minister Hoogervorst Minister Wijers Minister Bomhoff Minister Wiebes Minister de Geus Minister Verhagen Minister Wijn Minister Brinkhorst Minister Heinsbroek

Appendix B – Table of measures and ways of measurement

Table 5 List of measures and their descriptive information Measure Question Descriptive information Minister Which minister is mentioned N=900, Krippendorff's Alpha in the article? =.1 Ministry What ministry is the minister N=900, Krippendorff's Alpha working for? =.87 Visibility in coverage Frequency of references to How often is the minister N=900, M=1.38, SD=1.05, minister mentioned in an individual Krippendorff's Alpha =.90 article? Length of article What is the word count of the N=899, M=449.11, article? SD=349.98, Krippendorff's Alpha =.99 Placement of article On what page in the N=771, M=8.00, SD=9.60, newspaper is the article Krippendorff's Alpha =.1 published? Tone of coverage Tone towards minister What is the tone of the article N=900, M=-0.28, SD=0.70, towards the minister? Krippendorff's Alpha =.63 Substantiality of coverage Issue-coverage Does the article mention any N=899, M=0.49, SD=0.77, policy plans of the minister, Krippendorff's Alpha =.38 or is the position or opinion of the minister about a substantial policy issue mentioned? Appearance Does the article refer to the N=900, M=-0.99, SD=0.14, appearance of the minister in Krippendorff's Alpha = - any way? Family(ties/roles) Does the article refer to the N=900, M=-1.00, SD=0.07, family, family ties or family Krippendorff's Alpha =- role of the minister in any way? References to sex of minister Does the article explicitly N=900, M=-0.86, SD=0.41, refer to the sex of the Krippendorff's Alpha =.1 minister? Type of newspaper What newspaper is the article N=900, Krippendorff's Alpha published in? =.88 Year of publication What date is the article N=900, M=2007.27, published? SD=91.85, Krippendorff's Alpha =.1

The independent variables, minister and ministry, are measured by listing what minister is mentioned in a single article, and the ministry that minister was working for according to the article. The independent variables: amount and type of coverage, are measured by the visibility of ministers in the newspaper articles, the tone of the coverage towards the ministers in these articles, and the substantiality of the coverage describing these ministers.

Visibility can be measured in multiple ways. Most often is it done by simply counting in how many of the articles or tv-items the politician is mentioned. However, some authors argue that the prominence of the candidate in the coverage should also be researched, since not always the entire article or tv-item is being read or watched by the public (Helman, Carroll & Olson,

2005, p.321). Prominence can be established by counting how often the politician is mentioned in one article or tv-item, determining whether the candidate was the only or central focus of the article or tv-item, whether the candidate was mentioned in the headline, on what page the article was published and/or of how many words or paragraphs the article consisted (Heldman et al.,

2005; Miller, Peake & Boulton, 2010). This study therefore uses a multi-level measurement of visibility and codes how often a minister is mentioned in a single article, the length of these articles and listing on what page these newspaper articles are published on in addition to the automatic content analysis that found a total amount of articles mentioning a minister and divided this by the total of days the minister occupied the minister post. Secondly, following the

Center for Politics and Communication, tone of media coverage is described in terms of negativity, positivity, and neutrality towards the minister in a single article. Lastly, the substantiality of the newspaper coverage is measured by determining the amount of issue- coverage, the amount of personalized coverage and the amount of references made to the sex of the minister. More specifically, following Aday and Devitt (2001, p.58), issue-coverage is

37 measured by determining whether and if so, how often, an article mentions a politicians' position or record on public policy issues, personalized coverage is measured by counting the amount of times the reporter mentions the marital status, family members or children of the politician as well as any references to being childless, the family role a politician and physical appearance of the politician (Dan & Iorgoveanu, 2013, p.212) and lastly, differences in mentions of sex of male and female politicians are measured by counting the amount of explicit references of the sex of a minister in a given article.

Also, this study includes the variables of type of newspaper and year of publication and classifies the Nederlands Dagblad, Reformatorisch Dagblad, Algemeen Dagblad, De Telegraaf,

Spits and Metro NL as tabloid newspapers and De Volkskrant, De Trouw, NRC Handelsblad,

NRC Next, Het Financiele Dagblad and Het Parool as ‘quality’ newspapers.

Appendix C – Codebook

Codeboek

Eenheid van analyse:

Een volledig en individueel artikel uit een landelijke, Nederlandse krant waarin een van de ministers uit de onderstaande lijst genoemd wordt. Een artikel is niet relevant en wordt dus niet gecodeerd als het artikel gaat over een ex- of aanstaande minister, ook al staat de naam van deze minister op de lijst en is de persoon het onderwerp van het artikel, of over een politicus die op de lijst staat maar in het artikel wordt beschreven in een andere functie. Voorbeelden hiervan zijn:

'oud-minister', 'voormalig minister', 'lijsttrekker', VVD-politicus', 'aankomend minister voor volksgezondheid'.

Algemene informatie:

1. Noteer de titel van het artikel

Open vraag: ….

2. Noteer de krant waarin het artikel is gepubliceerd

Als het artikel niet in een van de onderstaande kranten is gepubliceerd, of als het niet duidelijk is in welke krant het artikel is gepubliceerd, het artikel niet meenemen in het coderen. Let op: onderscheid tussen NRC Handelsblad, en NRC.NEXT.

Antwoordcategorieën:

1. De Volkskrant

2. Trouw

3. NRC Handelsblad

4. NRC.NEXT

5. Het Financiële dagblad

6. Nederlands Dagblad

7. Reformatorisch Dagblad

8. Algemeen Dagblad (AD)

9. Het Parool

10. De Telegraaf

11. Spits

12. Metro (NL)

3. Noteer de datum waarop het artikel is gepubliceerd

Open vraag: ddmmjjjj

4. Welke minister(s) wordt/worden er genoemd in het artikel?

Als er meer dan een minister van de lijst genoemd wordt in het artikel, dan het artikel verschillende keren coderen, een keer voor elke minister op de lijst. Als je minister enkel in het bijschrijft genoemd wordt, en niet in de het artikel zelf, dan het artikel niet meenemen in het coderen.

Antwoordcategorieën:

1. Minister Van Engelshoven

2. Minister Bijleveld(-Schouten)

3. Minister De Jonge

4. Minister Wiebes

5. Minister Bussemaker

6. Minister Hennis(-Plasschaert)

7. Minister Schippers

8. Minister Kamp

9. Minister Hillen

10. Minister Verhagen

11. Minister Plasterk

12. Minister Van Middelkoop

13. Minister Klink

14. Minister Van Der Hoeven

15. Minister Hoogervorst

16. Minister Wijn

17. Minister Brinkhorst

18. Minister Korthals

19. Minister Bomhoff

20. Minister De Geus

21. Minister Heinsbroek

22. Minister Hermans

23. Minister De Grave

24. Minister Borst-Eilers

25. Minister Jorrtisma(-Lebbink)

26. Minister Ritzen

27. Minister Voorhoeve

28. Minister Wijers

29. Minister Rouvoet

30. Minister van Bijsterveldt

5. Voor welk ministerie werkt de minister?

Deelbenaming, afkortingen of welbekende synoniemen tellen ook als geldende verwijzing naar een ministerie. Bijvoorbeeld: 'minister Schippers (zorg)', 'minister Schippers (volksgezondheid)',

'minister Schippers (cultuur)', 'de Zorgminister., 'de VWS-minister'.

Als het niet duidelijk wordt uit het artikel voor welk ministerie de minister werkt, of als

42 de minister genoemd wordt in connectie met een ander dan de vier opgesomde ministeries, dan het artikel coderen als '99' (ander).

Antwoordcategorieën:

1. Onderwijs – Cultuur en Wetenschap (OCW)

2. Volksgezondheid – Welzijn en Sport (VWS)

3. Defensie

4. Economische Zaken (EZ)

99. Ander

1) Hoeveelheid media-aandacht

6. Hoe vaak wordt de minister genoemd in het artikel?

Dit geldt voor alle verwijzingen naar de naam/namen en verwijzingen naar de functie van de minister in kwestie in alle tekst van het artikel, inclusief de titel en eventuele bijschriften.

Bijvoorbeeld: 'Bussemaker', 'Jet Bussemaker', 'minister Bussemaker', 'de minister' (als het duidelijk is geworden dat het om Bussemaker gaat), 'de minister voor Onderwijs' (als het duidelijk is geworden dat het om Bussemaker gaat), 'de minister voor Onderwijs, Cultuur en

Wetenschap (als het duidelijk is geworden dat het om Bussemaker gaat), 'de PvdA minister' (als het duidelijk is geworden dat het om Bussemaker gaat), 'de bewindsvrouw' (als het duidelijk is geworden dat het om Bussemaker gaat) Verwijzingen zoals 'haar', 'zij', 'zijn', 'ze', niet meetellen.

Antwoordcategorieën:

0: 1 keer

1: 2 of 3 keer

2: 4-6 keer

3: 7 keer of meer

7. Is de minister die genoemd wordt in het artikel één van de onderwerpen van het artikel?

Een minister is één van de/het onderwerp(en) van een artikel als het artikel gecentreerd is rond de minister, zijn of haar beleidsplan en/of zijn of haar acties. Vaak is de naam en/of functie van de minister dan al vermeld in de titel en/of de eerste alinea. Ook neemt de beschrijving over de minister, of over de minister zijn/haar beleidsplan en/of zijn/haar acties dan vaak de meeste ruimte in beslag in het artikel, en wordt deze niet enkel terloops genoemd. Echter

44 om te bepalen of de genoemde minister inderdaad het onderwerp is van het artikel zal het hele artikel gelezen moeten worden en een afweging gemaakt moeten worden. Bij grote twijfel of de genoemde minister het onderwerp is van het artikel, antwoord dan '99' (niet te bepalen).

Een voorbeeld van een artikel waarin de minister (Hennis) wel genoemd wordt, maar niet het onderwerp van het artikel is (want dat is Asscher in dit artikel), is:

Zij gaan bezuinigen

Dertien ministers, zeven staatssecretarissen, één ongebruikelijk experiment - buitenstaander

Lodewijk Asscher (PvdA) als vicepremier - en verder vooral ministers, met grote Haagse ervaring. Het tweede kabinet-Rutte is in de eerste plaats een gezelschap van bestuurlijke routiniers.

Acht van de dertien ministers bezetten eerder een kabinetspost. En de bewindslieden die niet eerder deel uitmaakten van de regering hebben op één na allemaal hun sporen in Den Haag verdiend. Minister van Financiën Jeroen Dijsselbloem (PvdA) trad al in 2000 toe tot de Tweede

Kamer. Minister van Wonen en Rijksdienst Stef Blok was VVD-fractievoorzitter. Minister van

Buitenlandse Handel en Hulp Lilianne Ploumen (PvdA) was partijvoorzitter en werkte een hele reeks bestuurlijke functies in het ontwikkelingswerk af. Jeanine Hennis-Plasschaert (VVD,

Defensie) werkte bij de Europese Commissie en voor een Amsterdamse wethouder alvorens ze parlementariër in Brussel en Den Haag werd.

De grote uitzondering is hier dus Lodewijk Asscher. De man die in Amsterdam op handen wordt gedragen en er nooit een enorm geheim van maakte dat hij oren heeft naar het leiderschap van de PvdA. Maar ook een man die in zijn Amsterdamse bestuurlijke loopbaan weinig ervaring opdeed met de zeden en gewoonten van het Haagse bestuurscentrum.

Het Parool merkte in het weekeinde op dat Asscher in de hoofdstad, waar de PvdA amper oppositie van betekenis heeft, altijd voor een vol thuisstadion met een leeg uitvak speelde. Een ontevreden publiek is dan automatisch een zeldzaamheid.

Een ander voorbeeld waarbij de minister (Wijn) wel genoemd wordt, maar niet het onderwerp is

(want dat is kamerlid Aptroot), is:

VVD ziet gegraai bij Buma/Stemra

De VVD wil opheldering over vermeend gegraai bij auteursrechtenorganisaties Buma/Stemra en

Videma. Kamerlid Charlie Aptroot vindt dat "het gerotzooi afgelopen moet zijn", en stelt vandaag schriftelijke vragen aan de ministers Wijn (Economische Zaken) en Donner (Justitie).

Aptroot heeft de afgelopen weken onderzoek gedaan naar deze organisaties die auteursrechten innen bij onder meer cafés voor de voetbalwedstrijden die zij laten zien en de muziek die ze draaien. Aptroot is tot de conclusie gekomen dat ze wat te verbergen hebben. "Er zit een graaicultuur achter die ten koste gaat van ondernemers en artiesten", beweert hij.

Als voorbeeld noemt hij de 26,9 procent van de totale incasso die "aan de strijkstok blijft hangen" van Videma, de organisatie voor beeldrecht. "Dat is een schandalig hoog percentage", vindt de liberaal. Daarbij komt dat directeur Bakker van dat bedrijf tevens mede-eigenaar is en volgens Aptroot dus een groot deel van dat bedrag in zijn zakken ziet verdwijnen.

In een reactie weerspreekt directeur Rochus Bakker van Videma dat hij voor 85 procent eigenaar is, zoals Aptroot beweert, maar hij wil niet zeggen wat zijn belang wel is.

Een voorbeeld van een artikel waarin de minister wel het onderwerp van het artikel is, is:

Hennis wil 2 miljard extra voor Defensie

Minister Hennis (Defensie) wil de komende jaren 2 miljard euro extra voor Defensie. Dat is nodig om uit te komen op het gemiddelde van de Europese NAVO-landen. Dat zei Hennis zaterdag in het NPO Radio1-programma Kamerbreed. Hennis houdt dit gemiddelde als 'logisch richtpunt' aan. Volgens haar moet Nederland zich, bijvoorbeeld ook bij een volgende formatie, gaan richten op in ieder geval dat gemiddelde. Het Europees gemiddelde is 1,43 procent van het bruto binnenlands product (bbp). Nederland besteedt nu 1,13 procent van het bbp aan de strijdkrachten.

Een ander voorbeeld waarin de genoemde minister (Wijn) ook één van de/het onderwerp(en) is, is:

Minister Wijn onder vuur

Niet alleen energiebedrijven, ook boeren zijn boos op minister Joop Wijn van Economische

Zaken die afgelopen vrijdag onverhoeds een streep zette door alle subsidies voor duurzame energie. Alle nieuwe aanvragen die niet voor vrijdag binnen waren worden niet meer in behandeling genomen. Volgens Wijn zijn de doelstellingen voor Kyoto gehaald.

De voorspelling is dat het Nederland dankzij de subsidies lukt om in 2010 negen procent van de elektriciteit duurzaam te produceren. ,,Wegens succes gesloten,'' zei Wijn gisteren op het

Radio 1 Journaal. Na de verkiezingen moet volgens hem een nieuw kabinet beslissen over investeringen in duurzame energie.

Het kabinetsbesluit viel koud op het dak bij boeren in het Noorden, die voor miljoenen een biovergistingsinstallatie willen bouwen om duurzame energie te produceren, vertelt PvdA-

Kamerlid Diederik Samsom.

Ook een project in Flevoland om met windmolens zo'n 10.000 gezinnen van groene stroom te voorzien gaat niet door. ,,Ze hadden net de vergunning binnen en die moet je hebben

47 om subsidie aan te vragen.''

Energiebedrijf Essent neemt door de maatregel geen duurzame component op in de uitbreiding van de Clauscentrale in Maasbracht. Het plan was circa tien procent van de productie van 1560 megawatt elektriciteit duurzaam met palmolie op te wekken. De vervanging van turbines in een windmolenpark in Eemshaven gaat nog wel door. De subsidieaanvraag was net de deur uit.

Wijn wijst alle kritiek van de hand. De lopende subsidies lopen gewoon de afgesproken tijd van tien jaar door, zegt hij. Hij heeft nog een potje van 150 miljoen euro voor nieuwe, innovatieve projecten.

Antwoordcategorieën:

1. Nee

1. Ja

99. Niet te bepalen

8. Uit hoeveel woorden bestaat het artikel?

Exclusief de titel en eventuele bijschriften bij foto's. Als het niet bekend is uit hoeveel woorden het artikel bestaat dan antwoorden met 'onbekend'

Open vraag: …

9. Op welke pagina in de krant is het artikel geplaatst?

Als het niet bekend is op welke pagina in de krant het artikel is geplaatst, dan antwoorden met

'onbekend'

Open vraag: …

2) Toon van het artikel

10. Wat is de toon van het artikel?

Een aantal voorbeelden zullen hierna gegeven worden, maar de uiteindelijke codering zal zelf geïnterpreteerd moeten zijn. Het gaat hierbij om de vraag of het artikel, of iemand in het artikel, negatief of positief commentaar geeft op een plan/mening/beleid/uitspraak van een minister, of op de minister zelf.

Neutrale artikelen zullen vaak artikelen zijn waarin (een plan /beleid/mening/uitspraak van) de minister wordt besproken, zonder dat hiervan door iemand (bijvoorbeeld een geïnterviewde of de journalist) negatief of positief commentaar op wordt gegeven. Ook een artikel die zowel negatieve als positieve commentaren belicht zonder dat de balans uitslaat naar een van beide kanten worden gecodeerd als neutraal. Artikelen die een positieve of een negatieve toon hebben gaan vaak over de gevolgen, of de verwachtte gevolgen van beleid, plannen of acties van de minister of het uitblijven hiervan. Hierin wordt vaak commentaar gegeven die dan ofwel positief of negatief is. Als het commentaar/de commentaren alleen negatief of positief zijn, codeer het artikel dan als ofwel negatief ofwel positief. Als er zowel positieve als negatieve commentaren zijn, maar de algehele evaluatie is positief, codeer het artikel dan als overwegend positief. Als er zowel positieve als negatieve commentaren zijn, maar de algehele evaluatie is negatief, codeer het artikel dan als overwegend negatief. Bij grote twijfel over de toon van het artikel, antwoord '99' (Niet te bepalen).

Het is belangrijk om bij het antwoorden op deze vraag niet te veel gaan interpreteren, of te gaan zoeken naar subtiliteit, let op expliciete vermeldingen van negatieve en positieve commentaren (zie voor voorbeelden hiervan onderstreepte woorden in voorbeelden hieronder).

Ook is het belangrijk niet subjectief te zijn (als jij persoonlijk positief staat tegenover een

49 beschreven beleidsplan van een minister, maar het artikel beschrijft (voornamelijk) negatief commentaar op dat beleidsplan, let er dan op dat je het artikel codeert als (overwegend) negatief)

Voorbeelden positieve artikelen:

'Bussemaker redt orkest en museum', 'Het parlement was van meet af aan bijna lyrisch over het debatteren met deze kundige nieuweling', 'We checkten de uitspraak van minister Van

Engelshoven dat ''de helft van de jonge vrouwen onvrijwillig in deeltijd werkt'' en dat dit hun '' ambities fnuikt''. De stelling van de minister dat de helft van de jonge vrouwen onvrijwillig in deeltijd werkt, klopt. Of daardoor hun ambities afnemen, is echter niet te zeggen. We beoordelen de uitspraak daarom als grotendeels waar'.

Voorbeelden negatieve artikelen:

'De komst van minister Jet Bussemaker naar de alternatieve opening van de Olympische

Winterspelen die het COC organiseert, heeft tot woede gezorgd bij homo's', 'De minister fungeert als excuustruus', 'Minister verknoeit kunstdeal', 'Clean Air Nederland vindt dat minister Edith

Schippers (Volksgezondheid) in strijd met internationale gezondheidsafspraken rokers aanmoedigt om in kleine cafés hun sigaretje te blijven opsteken. Gesteund door de Hartstichting, het Koningin Wilhelmina Fonds en het Astmafonds eist Clean Air Nederland (CAN) vandaag bij de rechtbank in Den Haag dat de Staat internationale afspraken nakomt. 'Minister Schippers is de enige bewindspersoon ter wereld die het roken aanmoedigt, in plaats van het te bestrijden', zegt

Willem van den Oetelaar, woordvoerder en pleitbezorger van Clean Air Nederland, 'De minister gaat echter voorbij aan het feit dat de helft van de eenverdieners hier niet uit zichzelf voor kiest'.

Voorbeelden neutrale artikelen:

'Er komt een register met vrouwen die in aanmerking komen voor een topfunctie bij een groot bedrijf. Minister Jet Bussemaker (emancipatie) gaat die database opstellen met Hans de Boer, voorzitten van werkgeversorganisatie VNO-NCW. Dat heeft een woordvoerster van de bewindsvrouw woensdag gezegd naar aanleiding van een bericht in NRC Handelsblad.

Bussemaker wil er onder meer mee voorkomen dat Brussel Nederland een quotum oplegt van vrouwen die een topfunctie moeten bekleden'. 'Coalitiepartij VVD en de SGP vinden dat de overheid niet moet gaan turven of de media wel genoeg vrouwen, homo's en lesbiennes aan het woord laten.

''De VVD vindt dat de overheid zich niet moet bemoeien met de inhoud van mediaproducties.

Daar gaat de politiek niet over'', zo stelde VVD-kamerlid Yesilgöz donderdagmorgen in de

Tweede Kamer tijdens een commissievergadering over het emancipatiebeleid. Minister Van

Engelshoven van Onderwijs, die verantwoordelijk is voor het emancipatiebeleid, overweegt om te laten onderzoeken welke gasten aan het woord komen in praatprogramma's en wie er in tv- series worden gevraagd. (…) De meerderheid van de Kamer deelt de algemene conclusie van

Van Engelshoven in haar nota dat Nederland de afgelopen decennia veel stappen in de goede richting heeft gezet als het gaat over het emancipatiebeleid, maar dat er in de praktijk nog veel valt te verbeteren. Zo wil de minister dat nog meer vrouwen economisch zelfstandig worden'.

Antwoordcategorieën:

-2. Negatief

-1. Overwegend Negatief

1. Neutraal

2. Overwegend Positief

3. Positief

99. Niet te bepalen

3) Inhoudelijke of uiterlijke berichtgeving

11. Wordt er in het artikel gesproken over beleid(splannen) van de minister of is de positie/mening van de minister over een inhoudelijk beleidsthema beschreven in het artikel?

Voorbeelden: 'Borst verwacht EU-steun voor verbod tabaksreclame', 'Minister Borst vindt het

'geen slechte gedachte' om een toetsingscommissie in te stellen die moet gaan beoordelen of een arts juist gehandeld heeft bij euthanasie', 'Minister Borst van volksgezondheid is bereid om onder voorwaarden verstrekking van heroïne aan drugsverslaafden mogelijk te maken. De minister voert momenteel overleg met het ministerie van justitie over de mogelijkheden en randvoorwaarden waarbinnen medische verstrekking van heroïne op kleine schaal kan plaatsvinden. Het zou daarbij voorlopig om een experiment moeten gaan.' 'Voor minister Ingrid van Engelshoven (Onderwijs, Cultuur en Wetenschap, D66) is vrouwenemancipatie een belangrijk thema. Op een campagnebijeenkomst van D66, begin vorige maand in Tilburg, maakte ze daar een punt van.'

Antwoordcategorieën:

-1. Nee

1. Ja; maar het is niet het centrale punt het van het artikel

2. Ja; het is het centrale punt van het artikel

99. Niet te bepalen

12. Wordt de minister gequote in het artikel?

Quotes zijn de letterlijke woorden van de minister, direct overgenomen in het artikel en staan altijd tussen aanhalingstekens. Een quote begint en eindigt met een (of twee) aanhalingsteken(s),

53 ook al staat er maar 1 woord tussen deze aanhalingstekens. Als er vervolgens in de tekst weer een uitspraak tussen aanhalingstekens staat, deze tellen als nieuwe en dus tweede quote. Zinnen die eindigen met 'aldus de minister', 'zegt de minister', 'volgens de minister' etc. alleen meetellen als quote als de uitspraak ook daadwerkelijk tussen aanhalingstekens staat. Eventuele quotes in de titel en het bijschrift ook meetellen als individuele quote. Eventuele quotes van een woordvoerder van de minister, of van collega's van de minister binnen het ministerie, niet tellen als quote.

Voorbeelden:

Minister Ab Klink van Volksgezondheid wil zorgen dat ziekenhuizen het aantal medische fouten binnen vijf jaar halveren. Dat zou een vermindering van 15 duizend onnodige fouten per jaar betekenen. 'Dit is zeer ambitieus, maar ik wil de lat ook hoog leggen', schrijft de minister aan de

Tweede Kamer

"Laat ik vooropstellen: elk ongeluk is een drama en is er een te veel," aldus Schippers

Ze zijn volgens de bewindsvrouw niet evenwichtig vertegenwoordigd en worden ''vaak stereotiep gerepresenteerd''.'

Antwoordcategorieën:

-1. Nee

1. Ja; een keer

2. Ja; meerdere keren

13. Wordt er in het artikel verwezen naar uiterlijkheden van de minister?

Met uiterlijkheden worden fysieke kenmerken zoals lengte, gewicht en huidskleur bedoelt,

54 evenals gezichtsuitdrukkingen, kleding en kapsels

Voorbeeld: 'Een lachende Van der Hoeven, die de bontkraag combineert met een zwart mantelpak'

Antwoordcategorieën:

-1. Nee

1. Ja; een keer

2. Ja; meerdere keren

4) Gender

14. Wordt er in het artikel verwezen naar het geslacht van de minister?

Verwijzingen naar het geslacht van de minister kunnen zijn: 'beleidsvrouw', 'beleidsman',

'vrouw', 'man'. Woorden als 'hem', 'hij, 'haar', en ‘zij' niet tellen als verwijzing naar geslacht.

Naam van de minister (bijvoorbeeld Ingrid, Jan of Jeanine) ook niet tellen als verwijzing naar geslacht.

Voorbeelden: 'Jeanine Hennis-Plasschaert is als eerste vrouw op Defensie geland', 'de kersverse bewindsvrouw'

Antwoordcategorieën:

-1. Nee

1. Ja; een keer

2. Ja; meerdere keren

15. Wordt er in het artikel verwezen naar de gezins(banden) van de minister?

Verwijzingen naar de gezins(banden) van de minister kunnen zijn het benoemen van de echtgenoot en/of de kinderen van de minister. Ook het benoemen van de burgerlijke staat

(getrouwd, gescheiden, single) geldt als verwijzing naar een familie(band) van de minister.

Verwijzingen naar andere familieleden (broers, zussen, ouders, tantes, ooms, opa's, oma's etc.) niet meetellen als verwijzing naar de gezins(banden) van de minister.

Voorbeelden: 'Mijn drie zoons houden het me vaak voor', 'Klink (gehuwd, drie zonen)'

Antwoordcategorieën

-1. Nee

1. Ja; een keer

2. Ja; meerdere keren

16. Wordt er in het artikel gesproken over gender-gerelateerde thema’s?

Met gender-gerelateerd thema’s wordt bijvoorbeeld, maar niet uitsluitend, bedoeld:

(beleid(splannen) gericht op) vrouwenrechten (zoals het recht op vrije keuze in abortus het recht op veiligheid van (huiselijk) geweld, en het recht op een eigen inkomen) de positie van mannen en vrouwen in de samenleving, de positie van mannen en vrouwen op de arbeidsmarkt en (de verdeling van) zorgtaken tussen mannen en vrouwen.

Voorbeelden: ‘Nederlandse vrouwen die hun zwangerschap willen afbreken, moeten voorrang krijgen op vrouwen uit het buitenland. Dat moet voorkomen dat abortusklinieken de vraag niet meer aankunnen. Dat schrijft minister Edith Schippers aan de Tweede Kamer.' 'Artsen en verpleegkundigen moeten in hun opleiding meer informatie krijgen over borstvoeding, zodat zij moeders beter kunnen voorlichten. Minister Borst van volksgezondheid zal daar bij haar collega Hermans van onderwijs op aandringen.' 'In overleg met werkgevers en de vakbonden hoopt Rouvoet bovendien het ouderschapsverlof te flexibiliseren zodat ouders vrijer zijn in hun keuze om het op te nemen, bijvoorbeeld in gedeeltes. "Ze kunnen dan na de geboorte een maand opnemen, zodat vaders zich kunnen hechten aan de baby, en later nog eens een aantal maanden of tijdelijk korter gaan werken", stelt Rouvoet zich voor', 'OCW-minister Van Engelshoven

(Emancipatie) met het plan om vrouwen nog steviger te stimuleren om (meer) te gaan werken.

De minister vindt dat er nog niet voldoende vrouwen financieel onafhankelijk zijn. Van 'slechts' de helft van de vrouwen geldt dat op dit moment'.

Antwoordcategorieën:

-1. Nee

1. Ja; maar het is niet het centrale punt van het artikel

2. Ja; het is het centrale punt van het artikel

Appendix D – Coder training procedure

Coder training consisted of an in-person explanation of the codebook; the purpose of the research was explained and every question in the codebook was discussed. Coder Training was finished by coding a handful of articles together with the second coder, and discussing any diverging answers. Thereafter, a pretest of 31 articles, that were not part of the final sample, was carried out. The pretest showed problems with the questions about publication date, ministry, the frequency of the times the minister was mentioned, whether the minister was (one of the) central topic(s), the tone of the article, whether the article described policy related issues, whether the minister is directly quoted, and the amount of references made to the sex of the minister.

Consequently, the codebook was amended for these questions. A second meeting was held to discuss and explain the amendments in the codebook and come to agreement about the (revised) codebook. Hereafter, the second coder coded the sample of 77 articles that are used to determine the intercoder reliability for the measures in this research.

Appendix E – Results linear regression analyses with interaction effects

Table 6 Results of linear regression analyses measuring the interaction effect of sex, type of workfield and type of newspaper on the dependent variables

Dependent Interaction DF R Square F Change Significance variable Change Frequency Sex of Minister*Type of 1, 896 .000 0.239 P=0.625 Newspaper Wordcount Sex of Minister* Type of 1, 895 .000 0.292 P=0.589 Newspaper Page number Sex of Minister* Type of 1,767 .003 2.297 P=0.130 Newspaper Tone Sex of Minister*Type of 1, 896 .000 0.007 P=0.933 Newspaper Issue-coverage Sex of Minister*Type of 1, 895 .000 0.095 P=0.758 Newspaper References to Sex of Minister*Type of 1, 896 .000 0.269 P=0.604 Appearance Newspaper References to Sex of Minister*Type of 1, 896 .000 0.124 P=0.725 Family Newspaper References to Sex of Minister* Type of 1, 896 .003 2.385 P=0.123 Sex Newspaper Frequency Type of Workfield*Type 1, 896 .000 0.114 P=0.736 of Newspaper Wordcount Type of Workfield* Type 1, 895 .001 1.302 P=0.254 of Newspaper Page number Type of Workfield* Type 1, 767 .004 3.068 P=0.080 of Newspaper Issue-coverage Type of Workfield*Type 1, 895 .000 0.163 P=0.687 of Newspaper References to Type of Workfield*Type 1, 896 .000 0.305 P=0.581 Appearance of Newspaper References to Type of Workfield*Type 1, 896 .000 0.114 P=0.736 Family of Newspaper References to Type of Workfield* Type 1, 896 .001 0.888 P=0.346 Sex of Newspaper

Table 7 Results of linear regression analyses measuring the interaction effect of sex, type of workfield and year of publication on the dependent variables

Dependent Interaction DF R Square F Change Significance Variable Change Frequency Sex of Minister*Year of 1, 896 .000 0.066 P=0.798 Publication Wordcount Sex of Minister* Year of 1, 896 .000 0.024 P=0.878 Publication Page number Sex of Minister* Year of 1, 767 .000 0.019 P=0.890 Publication Tone Sex of Minister*Year of 1, 896 .001 0.931 P=0.335 Publication Issue-coverage Sex of Minister*Year of 1, 895 .001 0.478 P=0.490 Publication References to Sex of Minister*Year of 1, 896 .000 0.079 P=0.779 Appearance Publication References to Sex of Minister*Year of 1, 896 .000 0.009 P=0.925 Family Publication References to Sex of Minister*Year of 1, 896 .000 0.227 P=0.634 Sex Publication Frequency Type of Workfield* Year 1, 896 .000 0.070 P=0.791 of Publication Wordcount Type of Workfield* Year 1, 895 .000 0.023 P=0.880 of Publication Page number Type of Workfield* Year 1, 767 .000 0.023 P=0.879 of Publication Tone Type of Workfield* Year 1, 896 .001 0.960 P=0.327 of Publication Issue-coverage Type of Workfield* Year 1, 895 .001 0.496 P=0.481 of Publication References to Type of Workfield* Year 1, 896 .000 0.098 P=0.754 Appearance of Publication References to Type of Workfield* Year 1, 896 .000 0.006 P=0.940 Family of Publication References to Type of Workfield* Year 1, 896 .000 0.242 P=0.623 Sex of Publication