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: <strong>"Retractions in Arts and Humanities: an analysis of the retraction notices"</strong>. <strong>Note:</strong> the data are all contained inside the <strong><em>data.zip</em> </strong>file. You need to unzip the container to get access to all the files and directories listed below. <strong>Metadata</strong> The directory <em><strong>metadata/ </strong></em>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. <strong>Content analysis</strong> 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: <em><strong>workflow/ </strong></em>contains the workflow used in MITAO. <em><strong>datasets_and_views/: </strong></em>the datasets and visualizations generated using MITAO. <em><strong>ldamodel_corpus_dict/: </strong></em>it contains the dictionary, the LDA topic model, and the tokenized and vectorized corpus. <em><strong>rawdata/: </strong></em>the textual collection, metadata, and stopwords used as input in the workflow of MITAO <strong>References</strong> [1] Ferri, P., Heibi, I., Pareschi, L., &amp; 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