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• "I'm Ok Because I'm Alive": Understanding Socio-cultural Accessibility Barriers for Refugees with Disabilities in the US

  Foad Hamidi, Zulekha Karachiwalla · 2022 · Proceedings of the 19th International Web for All Conference (W4A)

  This qualitative study investigates the accessibility barriers faced by refugees with disabilities in the United States, drawing on interviews with six experts who serve refugee populations in Baltimore, Maryland. The research was conducted during the first year of the COVID-19…

  refugees · disability · mental health · cultural barriers · language access

• Nothing Micro About It: Examining Ableist Microaggressions on Social Media

  Sharon Heung, Mahika Phutane, Shiri Azenkot, Megh Marathe, Aditya Vashistha · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This paper presents the first study examining how disabled people experience ableist microaggressions specifically on social media. The researchers conducted semi-structured interviews with 20 participants with various disabilities — including physical disabilities, visual…

  ableism · microaggressions · social media · disability identity · content moderation

• Should I Say "Disabled People" or "People with Disabilities"? Language Preferences of Disabled People Between Identity- and Person-First Language

  Ather Sharif, Aedan Liam McCall, Kianna Roces Bolante · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This paper presents the largest empirical study to date on the language preferences of disabled people regarding identity-first language (IFL, e.g., "disabled people") versus person-first language (PFL, e.g., "people with disabilities"). The researchers surveyed 519 disabled…

  disability language · identity-first language · person-first language · disability identity · survey research

• Data Representativeness in Accessibility Datasets: A Meta-Analysis

  Rie Kamikubo, Lining Wang, Crystal Marte, Amnah Mahmood, Hernisa Kacorri · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This paper conducts a systematic meta-analysis of demographic representativeness in 190 accessibility datasets — datasets sourced from people with disabilities and older adults — spanning from 1984 to 2021. The authors examine how age, gender, and race and ethnicity are…

  AI fairness · datasets · representation · diversity · inclusion

4 results.