|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse” |
|
Identification Number: |
doi:10.60507/FK2/BK14F8 |
|
Distributor: |
bonndata |
|
Date of Distribution: |
2025-11-11 |
|
Version: |
1 |
|
Bibliographic Citation: |
Schilling, Julia; Fuchs, Robert, 2025, "Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse”", https://doi.org/10.60507/FK2/BK14F8, bonndata, V1 |
|
Citation |
|
|
Title: |
Raw data and analysis code for the study “Project 2025 as a technocratic blueprint: A corpus-based linguistic analysis of conservative governance discourse” |
|
Identification Number: |
doi:10.60507/FK2/BK14F8 |
|
Authoring Entity: |
Schilling, Julia (Universität Bonn) |
|
Fuchs, Robert (Universität Bonn) |
|
|
Software used in Production: |
spaCy |
|
Software used in Production: |
R |
|
Software used in Production: |
RStudio |
|
Software used in Production: |
Python |
|
Software used in Production: |
LIWC |
|
Distributor: |
bonndata |
|
Access Authority: |
Schilling, Julia |
|
Depositor: |
Schilling, Julia |
|
Date of Deposit: |
2025-11-05 |
|
Holdings Information: |
https://doi.org/10.60507/FK2/BK14F8 |
|
Study Scope |
|
|
Keywords: |
Arts and Humanities |
|
Abstract: |
This repository contains all data and scripts used for the study “Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse” (Schilling & Fuchs, 2025). The study investigates the language of the Heritage Foundation’s Project 2025, a 900-page conservative policy blueprint, using methods from Corpus-Assisted Discourse Studies (CADS), Political Discourse Analysis (PDA), and psycholinguistic text analysis. The corpus includes Project 2025 and Democratic and Republican Party platforms (2016–2024). The dataset includes: Raw data (/data/raw_data/): full texts of Project 2025 and party platforms in CSV format. Processed data (/data/raw_data/Project2025_lemmaPOS.csv): tokenized, lemmatized, and POS-tagged text. Keyness results (/data/keyness/): unigram and bigram keyness calculations (log-likelihood, log-ratio). Collocation results (/data/collocations/): top 10 adjective, noun, and verb collocates per node. LIWC results (/data/liwc/): LIWC-22 category scores for each corpus. Analysis scripts (/code/): R Markdown file (analysis_project2025.Rmd) and two Python scripts for collocation and keyness analysis. All files are in UTF-8 plain-text format. The dataset contains no personal, sensitive, or proprietary data and derives entirely from publicly accessible political documents. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Notes: |
<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a> |
|
Other Study Description Materials |
|
|
Related Publications |
|
|
Citation |
|
|
Title: |
Schilling, Julia & Fuchs, Robert (2025). Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse. Submitted manuscript, PLOS ONE. |
|
Bibliographic Citation: |
Schilling, Julia & Fuchs, Robert (2025). Project 2025 as a Technocratic Blueprint: A Corpus-Based Linguistic Analysis of Conservative Governance Discourse. Submitted manuscript, PLOS ONE. |
|
Label: |
README_Project2025.md |
|
Notes: |
text/markdown |
|
Label: |
analysis_project2025.Rmd |
|
Notes: |
text/x-r-notebook |
|
Label: |
collocation_analysis.py |
|
Notes: |
text/x-python-script |
|
Label: |
keyness_analysis.py |
|
Notes: |
text/x-python-script |
|
Label: |
P2025_colloc_ADJ_w7_top10_per_node.csv |
|
Notes: |
text/csv |
|
Label: |
P2025_colloc_NOUN_w7_top10_per_node.csv |
|
Notes: |
text/csv |
|
Label: |
P2025_colloc_VERB_w7_top10_per_node.csv |
|
Notes: |
text/csv |
|
Label: |
keyness_1gram_pos_manifesto_dem_overuse.csv |
|
Notes: |
text/csv |
|
Label: |
keyness_1gram_pos_manifesto_rep_overuse.csv |
|
Notes: |
text/csv |
|
Label: |
keyness_2gram_pos_manifesto_dem_overuse.csv |
|
Notes: |
text/csv |
|
Label: |
keyness_2gram_pos_manifesto_rep_overuse.csv |
|
Notes: |
text/csv |
|
Label: |
Project2025_lemmaPOS.csv |
|
Notes: |
text/csv |
|
Label: |
Platforms_Democrats_LIWC_subset.csv |
|
Notes: |
text/csv |
|
Label: |
Platforms_Republicans_LIWC_subset.csv |
|
Notes: |
text/csv |
|
Label: |
Project2025_LIWC_subset.csv |
|
Notes: |
text/csv |
|
Label: |
Platforms_Democrats.csv |
|
Notes: |
text/csv |
|
Label: |
Platforms_Republicans.csv |
|
Notes: |
text/csv |
|
Label: |
Project2025.csv |
|
Notes: |
text/csv |