1. Large-Scale Anonymized Text-based Disability Discourse Dataset.
- Author
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Palonis, Brandon, Dobesh, Samantha Jane, Bellscheidt, Selah, Mkaouer, Mohamed Wiem, Liu, Yudong, and Elglaly, Yasmine N.
- Subjects
SOCIAL media ,DISABILITIES ,SOCIAL disabilities ,INTERNET forums ,PEOPLE with disabilities - Abstract
The involvement of individuals with disabilities in online discussions related to disability and accessibility is a critical area of study. While previous research has qualitatively examined the participation of individuals with disabilities on social media platforms, large-scale analysis of social media content by people with disabilities has been an underexplored area. This paper presents a pioneering large-scale study of disability communities on Reddit. We developed an anonymized text-based dataset that consists of 1.5 million comments posted on three subreddits: r/disability, r/Blind, and r/ADHD. Using topic modeling, we analyzed the dataset and identified eight highly-coherent common categories and their associated keywords across the three subreddits. We contribute an Anonymized Disability Discourse Reddit Corpus (ADDReC) of 1.5 million comments that feature eight disability discourse categories. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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