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Research Article

What’s in the news? A multiscalar text analysis approach to exploring news media discourses for managing protected areas in Switzerland

ORCID Icon, ORCID Icon & ORCID Icon
Received 01 Feb 2023, Accepted 30 Apr 2024, Published online: 06 Jun 2024

Abstract

Park management is often hampered where discourses – encompassing views, values and interests about parks - differ, emphasising the important role public engagement plays in park planning and management. News media are a promising source of unstructured text material for exploring environmental discourses. Here, we combine computational distant reading and close readings across temporal and thematic scales, with the overall aim of demonstrating how a multiscalar approach can be effectively used to explore discourses related to protected areas. We illustrate our aim through a case study in two Swiss Regional Parks with the objectives of a) computationally identifying emerging topics since the formation of the parks through distant reading and b) performing a detailed close reading exploring the discourses around two dominant topics. This multiscalar approach forms the cornerstone of our findings and allows us to explore different ways in which the two parks are valued and debated.

Introduction

The COP15 UN biodiversity conference in 2022 resulted in a landmark agreement aiming to reverse the unprecedented destruction of nature. Among the instruments agreed was the establishment of protected areas and other area-based conservation measures by 2030 covering 30% of the Earth’s land and sea area (CBD, Citation2022).

Protected areas provide a host of social, health, environmental and economic benefits (e.g. Bell, Tyrväinen, Sievänen, Pröbstl, & Simpson, Citation2007; Bowler, Buyung-Ali, Knight, & Pullin, Citation2010) and in many countries, nature parks are flagships of the protected-area network (Väisänen, Heikinheimo, Hiippala, & Toivonen, Citation2021). Preserving the benefits offered by these parks is challenged by, for example, peri-urbanisation and environmental degradation (Runting et al., Citation2017; Shaw, van Vliet, & Verburg, Citation2020; Sutton, Anderson, Costanza, & Kubiszewski, Citation2016). Integrated landscape planning and management have huge potential, at least in principle, in addressing such challenges. However, in practice, views, values and interests about parks often differ between stakeholders including park managers, residents and the tourism sector (Reed et al., Citation2018; Wondirad & Ewnetu, Citation2019; Haukeland, Citation2011).

Consequently, there is increasing recognition of the importance of capturing differing viewpoints through increased public engagement in park planning and management (e.g. Kuiper et al., Citation2022). A recent Swiss example of public engagement in park planning and management (c.f. Michel, Citation2019) is the failed designation of Park Adula, in the Alpine region between the cantons of Grisons and Ticino. Plans for this park were initiated by local communities in 2001, focussing on economic and social goals, as well as nature conservation (Federal Office for the Environment (FOEN), Citation2015). However, competing viewpoints among different stakeholders – for example pitting conservation groups against local farmers – formed an unstable foundation for negotiations related to the legal basis for the park and its formation was rejected in a popular vote in 2016 (Michel, Citation2019).

One way of analysing such viewpoints is by treating them as discourses – that is to say ‘frameworks for debating the value of one way of talking about reality over other ways’ (Parker, Citation1992, p.5). Exploring these frameworks requires not only analysing what is said, but also exploring by whom and how viewpoints are constructed. Methodologically, approaches to discourse analysis vary widely, ranging from content analysis (focusing on what is said) – the approach we choose to follow here – to critical discourse analysis based on more contextual readings of, for example, the power relationships implied by discourses (see e.g. Kuckartz, Citation2014).

One route to exploring prominent public discourses is an analysis of mass media (Deuze & McQuail, Citation2020). Specifically, news media have been used to monitor the ‘cultural temperature’ of society in terms of societal discourses (Hansen, Cottle, Negrine, & Newbold, Citation1998, p. 92). Conversely, mass media also influence the everyday knowledge of a broad population (Luhmann, Citation2000). In particular, local news media have an important role to play as community resources, shaping public opinion and expectations with respect to policies and policy development processes (Caburnay et al., Citation2003; Collins, Abelson, Pyman, & Lavis, Citation2006). Various studies have shown that news media can help to understand environmental discourses (e.g. Wallace, Citation2021; Lehotský, Černoch, Osička, & Ocelík, Citation2019; Flaminio, Piégay, & Le Lay, Citation2021; Schweinsberg, Darcy, & Cheng, Citation2017; Roy, McGreavy, Quiring, & Druschke, Citation2022; Lyytimäki, Citation2014). Schweinsberg et al. (Citation2017) examined the power of news media in framing the future role of tourism in protected areas using critical discourse analysis. Their work contributed to fresh insights on the complex nature of sustainable management of protected areas but was based on a very small collection of texts. Lyytimäki (Citation2014) studied media representations of ecosystem disservices in Finnish news media using content analysis on a small media sample. They found a variety of ecosystem disservices were discussed, but noted a discord between the prominence of individual topics in news media and expert ratings of their importance.

News media are thus a promising source of material for exploring discourses about the environment, but to date have been the subject of little computational investigation, especially with respect to landscape planning and management, for example in the context of protected areas. Here we treat news media as unstructured texts, containing rich narratives, which can be analysed computationally (distant reading) and by more detailed qualitative interpretations (close reading) (c.f. Jockers, Citation2013; Moretti, Citation2013) in a multiscalar way. We combine distant and close readings across temporal and thematic scales (Correia et al., Citation2021; Taylor, Gregory, & Donaldson, Citation2018; Chesnokova, Taylor, Gregory, & Purves, Citation2019), with the overall aim of demonstrating how a multiscalar approach can be used to explore discourses related to protected areas. We illustrate our aim through a case study in two recently established Swiss Regional Parks (Jurapark Aargau and Park Beverin) with the objectives of:

  1. computationally identifying emerging topics since the formation of the parks through distant reading, and;

  2. performing a detailed close reading as a starting point to understand the discourses around two dominant topics.

Material and methods

Multiscalar analyses, as used in this article, offer flexibility in reading and analysing, that is not achievable through any single method (Taylor et al., Citation2018). First, we elicit emerging topics from different types of news media by carrying out distant reading using natural language processing. This distant reading uncovers the ‘big picture’ from a large text corpus, at the expense of overlooking detailed context (Khadem, Citation2012; Moretti, Citation2013). Second, we choose dominant topics in each park and perform close reading using qualitative content analysis to uncover the contents of the underlying discourses related to these topics.

The parks

In 2007, the Swiss government established a network of parks, forming a platform for dialogue, knowledge transfer and exchange between new and existing parks to include them in the country’s national political agenda. Although the parks share a common identity at the national level, they are mostly managed cantonally (Swiss Parks Network, Citation2022a, Citation2022b), with diverse local stakeholders and associated discourses.

We focus on two regional nature parks: Park Beverin and Jurapark Aargau (), both in the German-speaking part of Switzerland. Besides the protection of rural landscapes and cultural heritage, the promotion of sustainable regional economic development is a main goal for this park category and regional marketing of products produced in the park and nature-based tourism are explicitly expected (Federal Office for the Environment (FOEN), Citation2015). This park type does not have strictly protected core zones.

Figure 1. Location of Jurapark Aargau (blue) and Park Beverin (red). Background map from Swisstopo (Citation2018), park perimeters from Federal Office for the Environment (FOEN) (Citation2022).

Figure 1. Location of Jurapark Aargau (blue) and Park Beverin (red). Background map from Swisstopo (Citation2018), park perimeters from Federal Office for the Environment (FOEN) (Citation2022).

Park Beverin (established in 2013) is located in the alpine area of south-eastern Switzerland, stretching over 412 km2, including 9 municipalities with 3,700 residents (Swiss Parks Network, Citation2022a). The park area extends around the eponymous Piz Beverin (2998 m a.s.l.) and is well-known for iconic species including ibex, chamois and, more recently, wolves. It also offers tourist infrastructure, for e.g. skiing and hiking (Swiss Parks Network, Citation2022a).

Jurapark Aargau (established in 2012) is situated near more densely populated areas in northern Switzerland. It has recently expanded to include 8 new municipalities, resulting in a total of 32 park municipalities with 55,000 residents within its 299 km2. Agricultural landscapes dominate this region, which is well-known for cherry blossom in spring (Swiss Parks Network, Citation2022b). Most tourist infrastructure in Jurapark Aargau is in the form of hiking and biking trails, rather than mass tourism offerings such as ski lifts.

Data acquisition

We obtained news media articles from Swissdox, a media database including content dating back to the 1960s. The database contains more than 24 million media articles in French and German including local and national press and online media and is updated daily (Swissdox, Citation2024).

We initially searched the database using park names (‘Beverin’ or ‘Jurapark’), along with a German language filter and a temporal range between 01.01.2000 (predating the parks’ establishment) and 31.12.2021. The keyword ‘Jurapark’ led to noise in the data – referring to both unsuccessful plans to extend the park in neighbouring cantons and other parks in the French-speaking part of Switzerland – and therefore the keyword was refined into ‘Jurapark Aargau’.

Considering the lengthy political process of park establishment in Switzerland, we expected that news media would discuss relevant discourses in the early stages of the park establishment process, prior to their openings. After data retrieval, duplicate articles were removed.

Distant reading

To computationally analyse the corpus, we first carried out standard NLP tasks including text tokenisation, lemmatisation, part-of-speech tagging, named entity recognition (NER), and NER consolidation in German (Benoit et al., Citation2018; Benoit & Matsuo, Citation2020). This process leaves us with a so-called bag-of-words – individual terms, reduced to base forms along with a classification of parts of speech (e.g. noun, adjective, article, etc.). After removing German stop words (common terms that do not convey meaning) and park names (i.e. ‘Jurapark’, ‘Jurapark Aargau’, ‘Beverin’, ‘Naturpark Beverin’) we extracted nouns given their role in indicating key subjects, objects, and actions (Vinson & Vigliocco, Citation2002).

We then applied a topic modelling algorithm to identify latent topics in the text corpus (Roberts et al., Citation2014; Roberts, Stewart, & Tingley, Citation2019). We used Structural Topic Modelling (STM), an extension of Latent Dirichlet Annotation (LDA), which applies Dirichlet distribution to estimate probabilistic matrices and assumes a mixed-membership model, implying that a document is a mixture of multiple topics. The benefit of STM is that it considers not only the content of documents, but also associated metadata (Roberts et al., Citation2014), in our case allowing us to include a year of publication (2000–2021) and media type in topic clustering. The media types were aggregated into four: National (Newspapers), Regional/Local (Newspapers), Magazine, and Online.

Topic modelling requires that the number of topics (k) be defined. To find an optimal k, we calculated semantic coherence and exclusivity (Appendix A, ), common indicators measuring the quality of topic modelling results. Coherence indicates whether the words in a topic are coherent, increasing if words in a particular topic frequently appear together in the original text corpus (Mimno, Wallach, Talley, Leenders, & McCallum, Citation2011). Exclusivity measures whether different topics are mutually exclusive and distinctive, based on the comparisons of the word similarity across different topics (Bischof & Airoldi, Citation2012). In addition to these statistical indicators, we labelled topics to qualitatively determine k. This is to determine the size of k that can minimise the background topics (i.e. topic clusters that consist of incoherent or random words so that cannot be labelled with a single topic) based on human interpretation. We applied STM with different k, using R package stm (Roberts et al., Citation2019). Then we filtered top 20 keywords from each topic and asked three German-speakers in our research group to initially label them and determined the optimum number of topics to be eight for both parks.

Although topic modelling is an unsupervised method, it requires human interpretations in labelling the results for which we consulted experts with diverse backgrounds - including human geography, environmental modelling, and remote sensing - and local knowledge of the parks under investigation. These experts were part of the interdisciplinary research team of the ValPar.ch project to examine the benefits and added values of ecological infrastructure in Swiss parks of national importance. To gather consensus on the topics for Park Beverin we conducted an expert workshop in May 2022, as a part of a wider ValPar.ch project meeting, that consisted of eight participants. During a one-hour-long session, we provided a handout including word clouds based on 20 keywords retrieved from the STM with the optimal k (Appendix A, ). We asked the experts to label each topic individually, and combined these inputs to summarise the topics. A similar approach was repeated with five experts in December 2023 for topics related to Jurapark Aargau.

Close reading

As a follow-up to the distant reading, we explored news media for two dominant topics that play a role in the parks. Following the approach of Zscheischler and Friedrich (Citation2022), we conducted a qualitative content analysis on the topic wolf (Park Beverin) and activities in landscape (Jurapark Aargau) to explore the discourses related to these topics. The initial number of articles that belong to the specific topics (for wolf n = 192 and for activities in landscape n = 112) was reduced for qualitative analysis following the principle of ‘theoretical saturation’ (e.g. Hennink & Kaiser, Citation2022). We ordered articles per topic based on the probability of a document belonging to a topic. Then, we applied stratified random sampling of 10% of the data and successively added further articles to the analysis until no new insights were gained in the iterative process described below.

We used an iterative deductive-inductive research strategy for qualitative content analysis (Kuckartz, Citation2014), where we first deductively coded data applying categories derived from the literature on discourses about Swiss parks of national importance (Appendix B, ). These categories included: actors and their relationships, regional development, conservation of nature and cultural heritage, and governance of parks. Then, we refined the category system and added additional inductive categories and subcategories derived from the material through in-vivo coding and paraphrasing (Appendix B, ). Finally, we coded all remaining articles with the developed coding system in MAXQDA.

Results

Distant reading

We extracted 1065 and 767 articles for Jurapark Aargau and Park Beverin respectively from Swissdox after removing duplicates. When the number of articles was plotted by the year of publication and the type of media, the two parks showed different trends (). In the case of Jurapark Aargau, the publication of the articles peaked in the late 2000s (i.e. 2009–2010) and the early 2020s (i.e. 2020–2021). The dominant media type in Jurapark Aargau was regional/local news media. Park Beverin, on the other hand, was the subject of limited media attention before 2021, when it became omnipresent in different news media sources, most commonly online.

Figure 2. The number of media articles by the type of media for Jurapark Aargau (left) with n = 1065 and Park Beverin (right) with n = 767. Dashed grey vertical lines indicate the year of park establishment for Jurapark Aargau (established in 2012) and Park Beverin (established in 2013).

Figure 2. The number of media articles by the type of media for Jurapark Aargau (left) with n = 1065 and Park Beverin (right) with n = 767. Dashed grey vertical lines indicate the year of park establishment for Jurapark Aargau (established in 2012) and Park Beverin (established in 2013).

in the Appendix illustrates topic labels that emerged from the expert labelling. In Park Beverin – where only five of the eight topics were identified as meaningful – topics included wolf, park planning & management, recreation & tourism, winter recreation & tourism, and agriculture. For Jurapark Aargau six topics were labelled by experts. These include: activities in landscape, regional politics, park tourism, local events, park management, and nuclear waste repository. For both parks similar topics thus arose related to the park’s function of recreation and tourism.

Based on STM and the expert labels, we assigned topics to news articles and counted the number of articles according to their year of publication and media type, estimating changes in the share of topics over the last 22 years (). For Jurapark Aargau, the topic nuclear waste repository was visible for the entire timeframe of analysis, reflecting a separate, long-term debate about the siting of a nuclear waste repository in Switzerland, with one candidate site in Jurapark Aargau. From 2010 on, activities in landscape became a frequently discussed topic together with park management with a major attention peak in 2012–2015. In 2010 and again in 2020, regional politics were a popular media topic.

Figure 3. Temporal changes of topics for Jurapark Aargau (top) with n = 1065 and Park Beverin (bottom) with n = 767.

Figure 3. Temporal changes of topics for Jurapark Aargau (top) with n = 1065 and Park Beverin (bottom) with n = 767.

For Park Beverin, media in 2000–2002 was dominated by the topic agriculture. From 2002 to 2007, winter recreation & tourism was the focus of news media attention. In the years 2009 and 2012 park planning & management was a popular topic. From the year 2019 news media was dominated by the topic wolf.

shows the share of articles per topic per type of news media. For Jurapark Aargau, there is no clearly dominant topic in terms of article share. However, a few observations can be made. The topics park tourism, local events and nuclear waste depository seem to be covered the most by magazines. Regional/local newspapers preferentially discuss the topics park management and activities in landscape. Regional politics are covered more by national and online media.

Figure 4. Share of articles per topic per type of news media for Jurapark Aargau (top) and Park Beverin (bottom).

Figure 4. Share of articles per topic per type of news media for Jurapark Aargau (top) and Park Beverin (bottom).

For Park Beverin, the wolf topic in general shows this highest article share and is picked up most by online news media and least by magazines. The latter prefer recreation & tourism, as reflected by the large share of articles on this topic. Park planning & management is the focus of attention especially in national news media followed by regional/local news media. The share of articles on winter recreation & tourism is highest in regional/local news media. The least discussed topic, despite its importance to local stakeholders, is agriculture mostly represented in magazines followed by national news media.

Close reading

In the following, we describe the actors, themes emerging for each topic in more detail and illustrate them using translated exemplary quotations (B-Qn or J-Qn) from the news media articles below (Original quotes in German, and their translations, for all quotes are found in ). in Appendix B provide an overview of the coding system for the two selected topics.

Main actors and themes in discourses on the wolf topic in Park Beverin

The (1) actors who appeared most frequently included environmental organisations, gamekeepers, government actors, scientists and experts, recreationists, agricultural actors, and tourism organisations.

The main themes were: (2) urban-rural divide, (3) nature conservation including human-wolf coexistence and the distribution of information on the wolf, as well as wolf tourism, (4) wolf impact on society including damage as well as fear and danger caused by wolves, and (5) wolf management with regards to legislation changes, wolf population control and herd protection measures. Media articles included in our qualitative content analysis were spread over different types of newspapers.

(1) Actors

A plethora of distinct actors contribute to the formation of diverging wolf discourses in Park Beverin. Actors show different, often opposing values and perspectives with regard to the return of the wolf, indicating a social conflict regarding wolves. Our results suggest that this conflict revolves around opposed viewpoints at opposite ends of a continuum – from pro wolf to against wolf – with actors taking different positions on this scale.

Agricultural actors including livestock farmers and shepherds are generally against the wolf, with their position mainly emerging from fear due to the increasing wolf population (B-Q1), posing a threat to personal security in the fields (B-Q2) and security of livelihoods through livestock killings (B-Q3). The supposed danger of wolves towards humans is also discussed in the context of recreation (B-Q4).

Encounters between wolves and humans, as well as numerous livestock killings, trigger governmental actors to take action towards wolf population control (B-Q5) executed by game­keepers (B-Q6) and directed towards wolves exhibiting what is termed problematic behaviour (B-Q7, B-Q8). Although environmental organisations agree on the regulation of problematic wolves, they also emphasise their existential rights as a native species in Switzerland (B-Q9) and therefore take a somewhat more neutral position on the pro wolf - against wolf scale. The same applies to scientists whose role mainly is to gather and/or distribute information on wolves e.g. their genetic identification (B-Q10).

Our results also identify, on the pro wolf side of the scale, organisations that benefit from their emergence. These include tourism organisations, who see potential for wolf tourism (B-Q11, B-Q12).

(2) Urban – rural divide

Our media corpus documents contrasting values and perceptions regarding the wolf in urban and rural areas. The discourse showed a large disparity between the ‘Unterländer’ (lowlanders) and ‘Bergbewohner’ (mountain inhabitants) (B-Q13). This discourse was dominated by rural people who perceive a lack of understanding from urban people regarding life in rural areas (B-Q14 - B-Q16).

B-Q15: We have a different relationship with our cows and sheep than a lowlander has with his cat or dog. (derbund.ch, 05.2020)

The rural discourse emerges from the different degrees to which people are directly affected by the wolves’ comeback. While this comeback is perceived to be a threat to the livelihoods of rural people, the wolf is perceived as part of untouched nature visited by urban people for recreational purposes (B-Q17, B-Q18).

(3) Nature conservation

Another main theme throughout our news media corpus was the wolves’ comeback as nature conservation success (B-Q19). Wolves – and any other animal species – add value to ecosystems and specifically contribute to regulating the red deer population and thus protect mountain forests (B-Q20, B-Q21).

B-Q22: The wolf, however, has come to stay. (NZZ, 11.2019)

This fact likely influenced the need for providing information on the return of the wolf as a native species after extinction in Switzerland (B-Q23, B-Q24), habitat suitability and capacity in Switzerland (B-Q25, B-Q26), general information on food needs (B-Q27) and behaviour of wolves (B-Q28 - B-Q30).

Information provision and thus the creation of a learning environment among stakeholders was considered critical for working towards co-existence (B-Q31). This learning environment, especially targeted to agricultural actors, however needs a strong base (B-Q32).

B-Q32: The basis for this is, among other things, herd protection, good remuneration for sufficient alpine staff and financial support for livestock farmers with scientific monitoring and advice. (NZZ, 10.2021)

On a more general note regarding co-existence, our media corpus reveals official communication of governmental actors e.g. FOEN or cantons on how to behave when encountering a wolf (B-Q33, B-Q34). This information is not only relevant to agricultural actors but also e.g. recreationists that either accidentally encounter a wolf (B-Q35) or – as wolf enthusiasts - are actively searching for signs of the predator (B-Q36).

(4) Wolf impact on society

A central part of the diverging wolf discourses in Park Beverin reflects the discourse around the impact wolves have on society. This impact plays a role on an emotional level and is often expressed through fear and the feeling of danger (B-Q37, B-Q38) regarding oneself, other people including e.g. recreationists (B-Q39) or children (B-Q40), and livestock (B-Q41). On an emotional-physical level, discourses on wolf impact included wolf damage in the form of attacks on or killings of livestock (B-Q42, B-Q43).

Agricultural actors frequently cited the damage caused by wolves in arguing for stricter wolf management measures (B-Q44).

(5) Wolf management

Wolf management issues are another frequently discussed topic in our news media corpus, including legislation, wolf population control and herd protection.

Legislation concerns e.g. subsidies for herd protection measures (B-Q45) but mainly concerns changes in hunting regulations or the Swiss hunting law to lower the threshold for wolf population control (B-Q46), ascribed to increasing wolf populations that cause damage on livestock and evoke fear and danger to people (B-Q37, B-Q40, B-Q42, B-Q43).

Discrepancies between the Nationalrat (National Council) and Ständerat (Council of States) regarding wolf population control in hunting ban or wildlife protection areas initially hampered those changes that would allow for an increase in legal wolf shootings (B-Q47). Illegal wolf killings are mentioned in our corpus as an alternative wolf population control measure with stakeholders taking the law into their own hands prior to legislative changes (B-Q48, B-Q49).

Our news media corpus also mentions herd protection as a tool for wolf management. Herd protection includes electric fences, guard dogs, increasing the amount of workforce (B-Q50), an SMS warning system for agricultural actors (B-Q51) or avoidance of pasture births (B-Q52).

Main actors and themes in discourses on the activities in landscape topic in Jurapark Aargau

The main actors (1) in the analysed material included Jurapark and its representatives, parents and children, and local businesses, organisations and governments.

The main themes were: (2) nature and cultural heritage, especially with regards to the conservation of cultural heritage and practices, descriptions of landscapes and cultural heritage, and sense of place, and (3) regional (sustainable) development. Media articles included in our qualitative content analysis were dominated by regional/local newspapers, and specifically the ‘Aargauer Zeitung’.

(1) Actors

There are distinct actor groups that play a role in the topic activities in landscape in Jurapark Aargau. The Jurapark itself was often associated with the organisation of activities or events (J-Q1 - J-Q3) and the realisation of new recreational infrastructure (J-Q4, J-Q5) in the park.

Events and activities are visited by the second actor group in the park – the event participants – that are depicted as interested in different kinds of educational components of the events including culinary experiences (J-Q6, J-Q7), information on the history of the landscape as well as local flora and fauna (J-Q7, J-Q8). Activities and events are often targeted towards families or explicitly welcome parents and their children (J-Q9 - J-Q12).

Another distinct actor group is formed by local businesses, organisations and governments (J-Q13 - J-Q17). These include amongst others commercial actors such as Winzerin (winemaker) (J-Q15), NGOs ‘Pro Natura Aargau’ and ‘Aargauer Heimatschutz’ (J-Q16) and political actors in the form of the Gemeinde (municipality) (J-Q17) and are mainly associated with themes discussed below related to nature and cultural heritage.

(2) Nature and cultural heritage

Discussions of nature and cultural heritage were frequently associated with the conservation of cultural landscapes and practices. This especially concerned maintenance, reconstruction and conservation of cultural heritage such as Bruchsteinmauern (dry stone walls) (J-Q18) or the Burgruine Schenkenberg (castle ruin Schenkenberg) (J-Q19).

Activities described in our media corpus showed a clear educational character targeted towards conservation of the natural and cultural landscape. These activities included among others excursions or guided hikes to cultural heritage (J-Q20 - J-Q23) and natural heritage including local flora or fauna (J-Q2, J-Q3, J-Q8). Activities are also offered during events where local traditions e.g. Bogenschiessen (archery) (J-Q24) crafts and produce (J-Q25, J-Q26) are offered.

The theme of nature and cultural heritage is also frequently expressed in our media corpus in terms of descriptions of landscapes and cultural heritage, including descriptions of natural and cultural landscapes (J-Q27 - J-Q30), cultural heritage sites (J-Q31, J-Q32), and flora and fauna (J-Q33 - J-Q36). These descriptions were sometimes interlinked with a certain sense of place related to the natural and cultural landscapes of the Jurapark (J-Q37, J-Q38):

J-Q37: I am very connected with my favourite place, Gipf-Oberfrick, also emotionally. I was able to spend a wonderful childhood here. In terms of quality of life, it’s a wonderful place to grow up. (SRF, 04.2021)

(3) Regional development

The regional development that was evident in the analysed articles was regularly linked to park marketing including promoting regional products (J-Q39) e.g. the development of Perimuk - the park mascot whose shape is based on the park perimeters (J-Q40) – and is used as a marketing tool whose presence increases public awareness of Jurapark through e.g. the development of a children’s book (J-Q41, J-Q42) and a themed hiking path (J-Q43).

Regional development also found expression through recreational infrastructure developments e.g. children’s playgrounds (J-Q44) and hiking paths (J-Q43), initiatives targeted towards the improvement of quality of life in urban areas (J-Q45) as well as the sustainable development of agriculture e.g. increase of biological wine production (J-Q46) and natural and cultural heritage (J-Q47) in Jurapark.

Concluding discussion

Our starting point in this study was a desire to illustrate the use of multiscalar methods to explore news media discourses about protected areas. We use our approach to analyse the content of media discourses about two Swiss parks at differing scales – first identifying dominant topics within the parks and exploring their development over time, before zooming in on two specific topics and performing a qualitative content analysis as a first step to understanding the discourses therein.

Combining insights from close and distant reading using a multiscalar approach

When obtaining news media articles from Swissdox, we used park names (e.g. ‘Beverin’ or ‘Jurapark Aargau’) and thus park labels. If relevant articles for the study area did not use these labels, we could not retrieve them. Using more place names would address this limitation (c.f. Chesnokova & Purves, Citation2018) and increase recall (that is, the number of potentially relevant articles in the database that we find), at the cost of precision (since more articles would discuss irrelevant topics, for example related to incidents occurring in, but not related to, the parks).

Our distant reading suggests that Jurapark Aargau is subject to a greater diversity of topics than Park Beverin, which is unexpected when revisiting our search terms. The search term ‘Beverin’ is not as specifically targeted towards the nature park itself as Jurapark Aargau, and we assumed it would therefore lead to more non-park related news media articles and more variety in topics.

This was not the case and news media articles about Park Beverin focus primarily on processes within the park and mainly related to the wolf. The wolf being a ‘hot topic’ with the highest article share compared to the other topics, may have caused overrepresentation of this issue at the expense of other important issues in the park. A study by Berger and Milkman (Citation2012) suggests that online virality is positively linked to newspaper content characterised by anxiety, awe, and anger - as is the case with debates around the wolf in Switzerland (c.f. Heinzer, Citation2020). This effect can also be explained by the commercial nature of news media outlets with more sensationalistic topics driving online revenue (Bednarek & Caple, Citation2014). It may also be explained by marketing activities or communications by specific and powerful stakeholder groups (e.g. Vogler & Schäfer, Citation2020). Our distant reading results indicate that the wolf has gained a large amount of media attention in online media, especially from 2019 onwards, the date of the establishment of the first wolf pack in the park (CHWolf, Citation2022).

Close reading points out the existence of conflict and debate about the topic of the wolf, due to encounters with recreationists or farmers and farm animals, sparking debates among different actor groups in society (e.g. agricultural actors and environmental organisations) about the extent wolves ‘belong’ in particular locations in Switzerland. Similar observations have been made in Nordic countries, where the impact of wolf populations on livelihoods and lifestyles quickly mobilised dissent, especially where the safety of domestic animals was concerned (von Essen, Hansen, Nordström Källström, Peterson, & Peterson, Citation2014). This debate points to a need to understand different discourses in society to ease conflicts related to e.g. resistance to conservation measures among various stakeholder groups (von Essen, Citation2017).

Jurapark Aargau has a much richer and more diverse set of topics, with no one clear dominant topic in terms of article share. News media in Jurapark Aargau focus not only on processes within the park but also includes topics about the park. This is reflected by topics related to regional politics and park management, the latter showing a major attention peak in the news media in 2010, most likely discussing political processes and discourses around the formation of Jurapark Aargau in 2012. Recently, the park expanded to include 8 new municipalities, again captured by a peak in attention in the media in 2020, related to popular votes, an integral part of the Swiss political system.

The topic activities in landscape – which we used as an example for our close reading in this study – played an important role throughout the years with a peak in attention in the years 2012–2015, the first years after Jurapark was established in 2012 (Jurapark Aargau, Jurapark Aargau, 2022). Jurapark Aargau is – as Park Beverin – a regional nature park aimed at the protection of rural landscapes and cultural heritage and the promotion of a sustainable regional economic development (Federal Office for the Environment (FOEN), Citation2015), both of which were frequent themes in the qualitative content analysis. The regional marketing of products produced in the park and nature-based tourism are explicitly expected (Federal Office for the Environment (FOEN), Citation2015), and our material clearly shows evidence fulfilling these expectations e.g. organisation of activities and events with an educational character such as wine hikes and the Naturpark Märet (nature park market). Distant reading revealed that the topic was mainly covered in regional/local newspapers, and specifically Aargauer Zeitung, as our close reading corroborates. Regional/local newspapers are likely a good medium to create awareness among local inhabitants with regards to those activities and events, contributing to meeting the parks aims. This discourse is quite different to that in Park Beverin, with locals being informed about possibilities to engage with the Jurapark Aargau in a way which seems rare in Park Beverin. This result suggests differences in the ways in which the parks are perceived as important in their constituent regions, with potential implications for communication about the parks’ roles locally.

Methodological considerations

Our article relies on the availability of digital resources, often termed big data (Boyd & Crawford, Citation2012). One important characteristic of big data is diversity; however, this aspect is ignored in much ongoing research using these data in environmentally related analyses. Many current studies use social media data to explore landscape values and discourse through top-down methods to aggregate and classify posts, with little regard to the nature of language or discourse (e.g. Van Zanten et al., Citation2016; Langemeyer, Calcagni, & Baró, Citation2018). An important step forward is therefore the use of more complex narrative forms in computational analysis of the relationships between humans and their environment. Despite the prominence of news media in exploring environmental discourses, this source has been the subject of surprisingly little computational investigation for landscape planning and management.

Our multiscalar approach has several benefits. Computational distant reading is easily scalable, allowing analysis of thousands of articles to reveal topics for which word clouds are produced. Nonetheless, these topics then require expert interpretation, with local knowledge being important. Close reading of individual articles on our dominant topics revealed a wealth of detail about the ongoing media discourse in each park and topic, which is not possible on the scale of computational methods. This back and forth between computational methods and more detailed interpretation and readings, combined with inputs from local experts is often missing in research aiming to exploit new data sources, and forms a central pillar of our findings (c.f. Purves, Koblet, & Adams, Citation2022). Our study was carried out in German, and thus focused on local debates about the parks being studied. Since close reading requires that we interpret written material, we could not include articles in Romansch, a language spoken in some areas of Park Beverin. This is important since language is also associated with culture, and assuming that a single language reflects all of the ways in which landscape is valued is problematic (c.f. Blasi, Henrich, Adamou, Kemmerer, & Majid, Citation2022; Van Putten et al., Citation2020). In turn, there are limitations in the ways in which we can report on German discourses, which can be interpreted not only literally, but also culturally and metaphorically (Lakoff & Johnson, Citation2008; Lotman, Citation1990) in English.

Finally, our chosen approach to exploring discourse about parks in Swiss media - qualitative content analysis - focussed on identifying actors and themes through a deductive-inductive annotation process. Although this approach allowed us to analyse these texts in more depth than was possible computationally, its focus still lies on analysing the content of the articles, and leaves room for richer explorations of the societal context in which discourses related to Swiss parks take place.

Acknowledgements

Support for the research reported in this article was provided by the ValPar.ch project commissioned by the Swiss Federal Office for the Environment (FOEN). For this publication, use was made of media data made available via Swissdox@LiRI by the Linguistic Research Infrastructure of the University of Zurich (see https://www.liri.uzh.ch/en/services/swissdox.html for more information).

Disclosure statement

No potential competing interest was reported by the authors.

Data availability statement

The data that support the findings of this study are available from Swissdox@LiRi. Restrictions apply to the availability of these data, which were used under licence for this study. Derived data used in the analyses reported in this article are available along with the related code at: https://doi.org/10.6084/m9.figshare.25908934.

Additional information

Funding

This work was commissioned by the Swiss Federal Office for the Environment (FOEN) and supported by the ValPar.ch project.

Notes on contributors

Franziska Komossa

Franziska Komossa is a researcher (Oberassistentin) in the Department of Geography at the University of Zurich, Switzerland. She is an environmental geographer with an interest in human-environment interactions. Her research focuses on interdisciplinary approaches – including spatial analysis as well as statistical analysis – for assessing landscape perception, (cultural) ecosystem services/nature’s contributions to people and the (sustainable) use of land.

Inhye Kong

Inhye Kong is a postdoctoral researcher in the Department of Geography at the University of Zurich, Switzerland. She is primarily interested in investigating landscape semantics, including meanings and values, for better implementation of landscape conservation policy. She is particularly interested in interpreting collective human semantics towards landscape using geospatial and text analysis with unstructured text corpora.

Ross Stuart Purves

Ross Stuart Purves is a professor in the Department of Geography at the University of Zurich, Switzerland, leading his own research group in Geocomputation unit. His research interests are central to exploring ways of modelling, representing and analysing geographic information through rich spatial and textual data. << Unlocking Environmental Narratives: Towards Understanding Human Environmental Interactions through Computational Text Analysis >> is one of his most recent publications.

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Appendices

Appendix A: Distant reading

Figure A1a. Coherence and exclusivity indices for STM with different k for Jurapark Aargau (left) and Park Beverin (right).

Figure A1a. Coherence and exclusivity indices for STM with different k for Jurapark Aargau (left) and Park Beverin (right).

Figure A1b. Word clouds (here: 20 words per topic) emerging from STM and labelled by experts for Jurapark Aargau (left) and Park Beverin (right).

Figure A1b. Word clouds (here: 20 words per topic) emerging from STM and labelled by experts for Jurapark Aargau (left) and Park Beverin (right).

Table A1. Topics emerging from STM and labelled by experts.

Appendix B.

Close reading

Deductive and inductive coding

Table B1. Deductive coding system on discourses about Swiss parks of national importance – with a focus on regional parks - derived from academic literature.

Table B2. Coding system for the topic ‘wolf’ in Park Beverin derived qualitative content analysis (after Kuckartz, Citation2014).

Table B3. Coding system for the topic ‘activities in landscape’ in Jurapark Aargau derived qualitative content analysis (after Kuckartz, Citation2014).

Qualitative content analysis

Table B4. Quotes (B-Qn) from news media articles for the topic ‘wolf’ in Park Beverin in original German language and as an English translation.

Table B5. Quotes (J-Qn) from news media articles for the topic ‘activities in landscape’ in Jurapark Aargau in original German language and as an English translation.