Topic model and n-grams for islamophobic blog PI-News

Krasselt, Julia;Dreesen, Philipp

Description

The folder contains everything that is needed to reproduce findings, figures and tables presented in the following publication: Krasselt, J., & Dreesen, Ph. (2024). Topic models indicate textual aboutness and pragmatics: Valuation practices in Islamophobic discourse. Journal of Cultual Analytics. In detail 1. Script - R Script to reproduce figures and tables: supplementary_material_cultural_analytics.rmd - the script is also provided as a commented html markdown version: supplementary_material_cultural_analytics.html - to run the script, open the file supplementary_material_cultural_analytics.rmd in Rstudio, install the necessary packages and run each chunk 2. LDA topic model - document-topic-distribution: doc_topics_df.csv - topic list (top 20 words): top_words_df.csv - word-topic-assignment: topic_word_assignment.csv (columns with actual tokens and lemmata were deleted due to copyright) 3. Sura citations - a file containing 3grams counted for sura citations only: citations_suras_3grams.txt

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.1

FAIR Score

15%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Harvard Dataverse

Assigned Domain

Subfield

Literature and Literary Theory

Field

Arts and Humanities

Domain

Social Sciences

Confidence Score

47%

Source

Scholar Data Model

Normalization Factors

FT

43.27

CTw

1.00

MTw

1.00