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Large-Scale Anonymized Text-based Disability Discourse Dataset.

Authors :
Palonis, Brandon
Dobesh, Samantha Jane
Bellscheidt, Selah
Mkaouer, Mohamed Wiem
Liu, Yudong
Elglaly, Yasmine N.
Source :
ACM SIGACCESS Conference on Computers & Accessibility; 2023, p1-5, 5p
Publication Year :
2023

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]

Details

Language :
English
Database :
Complementary Index
Journal :
ACM SIGACCESS Conference on Computers & Accessibility
Publication Type :
Conference
Accession number :
174692535
Full Text :
https://doi.org/10.1145/3597638.3614476