Data and results of "Retractions in Arts and Humanities: an analysis of the retraction notices"

This repository contains the datasets and visualizations generated in our work: "Retractions in Arts and Humanities: an analysis of the retraction notices".

Note: the data are all contained inside the data.zip file. You need to unzip the container to get access to all the files and directories listed below.

Metadata

The directory metadata/ contains a CSV with the citation count of all the retracted papers we have considered. Metadata retrieved from Retraction Watch cannot be published in this repository due to copy rights issues.  

Content analysis

We run a topic modeling analysis on the content of the retraction notices. The topic modeling analysis has been done using MITAO, a tool for mashing up automatic text analysis tools and creating a completely customizable visual workflow [1]. The topic modeling data and results are separated into the following directories/files: 

workflow/ contains the workflow used in MITAO.

datasets_and_views/: the datasets and visualizations generated using MITAO.  

ldamodel_corpus_dict/: it contains the dictionary, the LDA topic model, and the tokenized and vectorized corpus.

rawdata/: the textual collection, metadata, and stopwords used as input in the workflow of MITAO

References

[1] Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. https://doi.org/10.19245/25.05.pij.5.2.3