Data from: Delisting the Northern Rocky Mountain Gray Wolf from the U.S. Endangered Species Act: An assessment of political discourse over 20 years
Data files
Nov 07, 2025 version files 60.17 KB
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README.md
2.14 KB
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wolf_article_data_cites_links.csv
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Abstract
Feared, revered, and politicized, wolves have long captured human imagination and ignited fierce conservation conflicts. In the United States, the Endangered Species Act protects species at risk of extinction from human impacts. This far-reaching legislation, which impacts development and state-level wildlife management, has been fraught with legal battles and controversy. The gray wolf, first listed in 1974, exemplifies the tumultuous back-and-forth of listed species. In 2011, Congress, rather than wildlife management agencies in the executive branch of government, delisted the gray wolf in two Northern Rocky Mountain states using legislative action, specifically a rider on a budget bill. Since then, gray wolf territory has expanded, and controversy over gray wolf management prevails. Our study used quantitative structural topic modeling to assess political discourse surrounding the Rocky Mountain gray wolf delisting in newspapers and other documents between 2005 and 2025, allowing us to assess how different stakeholders discuss the gray wolf and how language has shifted over time. In our study, we find that nongovernmental organizations are generally the most vocal in gray wolf discourse. Further, our results show that the 2011 delisting shifted the language used by a variety of stakeholders when debating gray wolf management, with the 2011 delisting being used as both a cautionary example and a model to follow.
Dataset DOI: 10.5061/dryad.s4mw6m9kc
Description of the data and file structure
This dataset includes citations and primary output columns for news articles and documents published between January 1, 2005, and March 2025 on the topic of gray wolves in the Northern Rocky Mountains region of the United States. In this search, we used “Wolf Delisting” with boolean operators to specify the state or region (i.e., “Rocky Mountain”, “Idaho”, “Montana”, and “Wyoming). Articles and relevant quotes were acquired from the U.S. Newsstream Proquest Database; titles and publishing news sources can be used to acquire the articles via the user's home institution.
Files and variables
File: wolf_article_data_cites_links.csv
Description: Datafile including articles and quotes regarding gray wolf delisting in the Northern Rocky Mountain region of the United States.
Variables
- Number: Article #
- Title: Title of the article
- Relevant: Y=relevant and not reviewed before, N=not relevant, D=relevant but reviewed already
- Date_Published: Date article was published
- Date_bin: categories for analysis, before 2011 delisting, during 2011 delisting, after 2011 delisting.
- SearchTerm: Terms used to reach that article
- Keywords: Preselected keywords, categorized by article reviewer
- Branch: Stakeholder category for quoted person indicated by article reviewer
- PoliticalActor: Name of stakeholder being quoted
Code/software
We used Microsoft Excel to create the dataset. R studio was used for Structural Topic Modeling Analysis using SnowballC package to remove uninformative stopwords, and the STM package (with estimateEffect function)
Access information
Other publicly accessible locations of the data:
Data was derived from the following sources:
- U.S. Newsstream Proquest Database
