Policy Narratives across Two Languages: A Comparative Study using the Narrative Policy Framework

Huda, Juhi

doi:10.1111/ropr.12344

Cited by 10 publications

(7 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, Huda (2018) notes that most NPF scholars have focused on the United States and Europe. In her work, she examines 227 newspaper articles in India to study the link between specific narrative strategies (e.g., use of scientific evidence, risk and benefit information, presence of characters, etc.)…”

Section: Discussion/conclusionmentioning

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

View full text Add to dashboard Cite

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.

show abstract

Section: Discussion/conclusionmentioning

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

View full text Add to dashboard Cite

show abstract

“…The narrative policy framework includes narrative and impact analysis related to the policy process. In India, the narrative policy framework on agricultural biotechnology policy is a fairly intense public debate on agricultural issues that damage scientific evidence with Indian and English through generalizable narrative elements, based on analysis of various media coverage that this narrative element has implications for the application of narrative policy frameworks from various languages) (Huda, 2019). In this case, it proves that real data or facts can be used as a basis for analysis that can later have an impact on others or in policy making.…”

Section: Narrative Policy Frameworkmentioning

confidence: 99%

Narrative policy of bureaucratic reform in Indonesia: Rules of narrative in mass media

Haryono,

Nugroho,

Putera

et al. 2023

J. Infras. Policy. Dev.

View full text Add to dashboard Cite

This paper aims to analyze the narratives that have emerged in the process of bureaucratic reform in Indonesia. The analysis is conducted using the Narrative Policy Framework at the mesa level. Using data from articles published in 6 credible national media about “bureaucratic reform” from 2010 to 2023. The collected data was classified according to the Narrative Policy Framework (NPF) elements in the article: Issue setting, the cause of the issue, plot, character (villain, victim, hero), and recommendations for solutions offered. There were 31 articles analyzed. The result showed that the main plot in the process of bureaucratic reform in Indonesia is based on the corrupt bureaucracy and the slow public service provided. The victims in the plot are the people who will access the services. The villains of the narrative are civil servants who do not improve the required competencies. The heroes of the narrative are several government institutions (Ministry of State Apparatus Utilization and Bureaucratic Reform, Commission of Corruption Eradication, and The Audit Board of The Republic of Indonesia) that are considered to expose the problem.

show abstract

“…It is thus expected that across contexts, the fundamental expectations regarding the role of policy narratives at the core of the NPF will still be applicable. For instance, Huda's, 2019 study extends applications of the NPF to a non‐Western context, using the case of Indian agricultural biotechnology policy. It suggests the narrative elements are indeed transferrable across policy and cultural contexts.…”

Section: Empirical Context and Research Designmentioning

confidence: 99%

The United States in Chinese environmental policy narratives: Is there a trump effect?

Schwaeble

Birkland

2022

Review of Policy Research

View full text Add to dashboard Cite

Drawing on insights from studies of environmental politics, the policy process, and the Narrative Policy Framework (NPF), this study examines the Trump administration's influence on how the United States is characterized by Chinese environmental policy scholars. Using an NPF approach and policy narratives on the topic of global environmental governance, our empirical results suggest that the Trump administration has shifted Chinese environmental policy scholars' constructed role of the US but not China's relationship with the US in these narratives. Specifically, there was a widening polarization of the US being portrayed as hero and villain over the sampled time frame (2010–2020) yet the portrayal of the US as an ally remained stable. These portrayals of the US also do not vary across narrators' knowledge and professional backgrounds. Our findings help confirm previous arguments that the Trump Administration's influence on environmental policy and politics in China is more rhetorical than substantive, and indicate that, despite the escalating rivalry between the two countries, Chinese environmental policy scholars continue viewing the US as an ally in global environmental governance. The findings likewise provide insights for rebuilding international climate cooperation and global climate governance leadership.

show abstract

Policy Narratives across Two Languages: A Comparative Study using the Narrative Policy Framework

Cited by 10 publications

References 51 publications

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

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

Narrative policy of bureaucratic reform in Indonesia: Rules of narrative in mass media

The United States in Chinese environmental policy narratives: Is there a trump effect?

Contact Info

Product

Resources

About