Public contestation over agricultural pollution: a discourse network analysis on narrative strategies in the policy process

Schaub, Simon

doi:10.1007/s11077-021-09439-x

Cited by 13 publications

(4 citation statements)

References 76 publications

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“…To perform the DNA, we used the coded media statements as discourse concepts and analysed its network using DNA to bring in actors’ statements. Previous scholars have regarded statements made by actors to be consistent with their beliefs 31 32. The network was constructed using coded statements, resulting in a network graph of visual representations of clusters.…”

Section: Methodsmentioning

confidence: 99%

The advocacy coalition of sugar-sweetened beverage taxes in Indonesia

Putri,

Alemmario,

Melinda

et al. 2023

BMJ Glob Health

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The Ministry of Finance of Indonesia has put sugar-sweetened beverages (SSBs) taxation on its agenda since 2020 to address the need for health financing, as outlined in the National Medium-Term Development Plan for 2020–2024. However, the adoption process of this fiscal policy has been slow. This study aims to generate insights into the actors involved in the discourse of SSB tax adoption in Indonesia to inform their advocacy and communication efforts using the Advocacy Coalition Framework and Discourse Network Analysis. The analysis was conducted using data extracted from 1733 statements collected from 200 online web domains and subdomains, divided into three timeframes of the policy process. The analysis identified actors supporting and opposing the adoption of SSB tax. The discourse network also identified key advocacy coalitions and organisations in the discussion on SSB tax adoption in Indonesia. The results indicate that there are diverse network patterns in each timeframe and reveal the process and focus of the policy change. The Ministry of Finance had the most significant influence on the discourse, with actors from civil society organisations and universities involved in the process of policy change through evidence-based policy recommendations. Meanwhile, economic actors contributed to the debate on the potential harm of tax adoption to the industry. These findings can inform the policy process and ensure the successful adoption of the SSB tax in Indonesia.

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Section: Methodsmentioning

confidence: 99%

The advocacy coalition of sugar-sweetened beverage taxes in Indonesia

Putri,

Alemmario,

Melinda

et al. 2023

BMJ Glob Health

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“…We contribute to the use and further development of the NPF by applying it empirically and by investigating narrative research outside the Anglo-American region using the DNA methodology. This follows the work done by Schaub (2021) and Vogeler et al (2021). Furthermore, we apply a dynamic and comparative perspective to the field of local climate action which, to date, has not been applied.…”

Section: Narrative Policy Frameworkmentioning

confidence: 96%

“…The current state of research shows that the NPF is applied in a wide variety of policy fields and focuses on different levels of analysis (Schlaufer et al, 2022), while most of the evidence can be attributed to the meso level. The analysis of the nature and content of dominant narratives in environmental policy areas has already been addressed by a number of researchers, for example, in studies on agricultural water pollution in Germany (Schaub, 2021), agri-food technology in the European Union (Vogeler et al, 2021), or waste management in Russia (Schlaufer et al, 2021). We contribute to the use and further development of the NPF by applying it empirically and by investigating narrative research outside the Anglo-American region using the DNA methodology.…”

Section: Narrative Policy Frameworkmentioning

confidence: 99%

Powerful stories of local climate action: Comparing the evolution of narratives using the “narrative rate” index

Nagel

Schäfer²

2023

Review of Policy Research

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The complex relationship between local climate action and reducing global emissions is often difficult to grasp and cities might scale back their ambitions if they realize that the way is hard and rocky. We analyze local climate change narratives through the lens of the narrative policy framework (NPF). Following the NPF, policy actors use narratives to communicate information to change an existing system in order to achieve a specific goal. For our study, this implies that local climate action can be improved by using narratives to communicate information to achieve climate neutrality. We focus on the position and interplay of the most important and dominant actors and concepts in the plot of the narratives. To better analyze the main actors and content of the NPF plot in a systematic and comparable way, we offer the “narrative rate index” to dynamically trace the narratives. To include the dynamics and effects of global significant developments in the plots of the NPF narratives, we selected three phases between January 2018 and June 2021. What are the main characters and dominant actors in the plot of the narratives in the two cases? Are the narratives different depending on the context of the city, and are there general observable patterns? Our findings identify the central actors in the narratives of both cities: the science institute in Karlsruhe and the City Administration in Mannheim. Karlsruhe, a climate change pioneer, has slowed down its climate change activities somewhat, while Mannheim is a latecomer with high ambitions.

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“…Thus far, computational social science techniques have been limited to using unsupervised ML tools (e.g., topic modeling) to discover the underlying topic structure of a narrative policy space. A recent spate of work has applied ML to map out the discourse space in several different policy domains, including artificial intelligence policy (Guenduez & Mettler, 2022), COVID‐19 (Jing & Ahn, 2021), agricultural pollution (Schaub, 2021), and flood‐risk policy (King, 2019).…”

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confidence: 99%

Fracking Twitter: Utilizing machine learning and natural language processing tools for identifying coalition and causal narratives

Pattison,

Cipolli,

Marichal

et al. 2023

Politics & Policy

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The Narrative Policy Framework (NPF) has provided policy scholars with a valuable method to gain empirical insight into the power of narratives in the policy process. However, a significant limitation of the NPF has been its ability to deploy this framework on large N datasets due to the labor‐intensive nature of collecting narrative data. In recent years, NPF scholars have turned to computational social science tools to address this challenge. This study builds upon this emerging body of literature and our previous work, which uses sentiment analysis, a natural language processing technique, to evaluate the use of the angel/devil shift across coalitions before and after a major policy change. We examined Tweets that included the terms “fracking” and “New York” before and after the introduction of a moratorium. While sentiment analysis allowed us to gain insight into the narrative structure of the fracking policy discourse space, the labor involved in hand‐coding Twitter users into neutral‐, pro‐, or anti‐fracking groups was onerous. This project aims to supplement our natural language processing method by employing supervised machine learning techniques to increase the universe of respondents. We hand‐coded 500 Twitter users into neutral‐, pro‐, or anti‐fracking groups and trained a much larger dataset using an extreme gradient boost algorithm to classify a broader corpus of Tweets. This enabled us to expand the number of Tweets used in the analyses. We then applied sentiment analysis on this newly classified larger dataset to reveal differences in the pro‐fracking and anti‐fracking advocacy coalitions. By using machine learning to classify pro and con Tweets, we gained the ability to achieve significantly greater insight into how these two subgroups employed different narrative and linguistic devices in their Twitter discussions about fracking.Related ArticlesMerry, Melissa K. 2022. “Trump's Tweets as Policy Narratives: Constructing the Immigration Issue via Social Media.” Politics & Policy 50(4): 752–72. https://doi.org/10.1111/polp.12487.Robles, Pedro, and Daniel J. Mallinson. 2023. “Catching Up with AI: Pushing toward a Cohesive Governance Framework.” Politics & Policy 51(3): 355–72. https://doi.org/10.1111/polp.12529.Shanahan, Elizabeth A., Mark K. McBeth, and Paul L. Hathaway. 2011. “Narrative Policy Framework: The Influence of Media Policy Narratives on Public Opinion.” Politics & Policy 39(3): 373–400. https://doi.org/10.1111/j.1747‐1346.2011.00295.x.

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Public contestation over agricultural pollution: a discourse network analysis on narrative strategies in the policy process

Cited by 13 publications

References 76 publications

The advocacy coalition of sugar-sweetened beverage taxes in Indonesia

The advocacy coalition of sugar-sweetened beverage taxes in Indonesia

Powerful stories of local climate action: Comparing the evolution of narratives using the “narrative rate” index

Fracking Twitter: Utilizing machine learning and natural language processing tools for identifying coalition and causal narratives

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