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Analysis code and results for the study "Understanding the online countermovement to allegedly ‘faked’ presentations of psychiatric disorder"

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Analysis code and results for the study

Understanding the countermovement to online presentations of psychiatric disorder that are perceived as ‘faked’

Python Programming Language Jupyter Notebook MIT License

Pre-printed as:

Bell, V., White, R., Foulkes, L. (in submission) Understanding the countermovement to online presentations of psychiatric disorder that are perceived as ‘faked’

This archive contains the Python code for the analysis reported in the above study. The code is presented as a Jupyter notebook which are documents that combine both code and the output in a form that can be viewed online, but also re-run and the results reproduced when accompanied by the original dataset.

Data from the r/FakeDisorderCringe subreddit used in this analysis was downloaded from the public PushShift archive mirror available at https://the-eye.eu/redarcs/

This repository contains:

  1. fdc_topicmodelling_analysis.ipynb - Jupyter notebook that contains the reproducible analysis

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Analysis code and results for the study "Understanding the online countermovement to allegedly ‘faked’ presentations of psychiatric disorder"

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