TY - GEN
T1 - YouTube Videos as Data
T2 - 2nd ACM Conference on Information Technology for Social Good, GoodIT 2022
AU - Xie, Jingyi
AU - Li, Na
AU - Lee, Sooyeon
AU - Carroll, John M.
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/9/7
Y1 - 2022/9/7
N2 - COVID-19 pandemic has spread globally and affected a large number of people. Previous studies collected online survey and interview data to raise awareness of requirements from people with visual impairments (PVI) under the COVID-19 pandemic, however, little has been observed in PVI's daily activities due to the suspension of face-to-face fieldwork. In this study, we utilized an innovative data source-YouTube videos to fill the vacancy of observation data in this specific topic. Compared to previous studies, we got more voices involved and gained a richer dataset by considering both videos from the visually impaired community where PVI are primary authors and news media videos where PVI are involved as active participants. Eventually, we collected 24 videos created by the visually impaired community and 27 videos from the news media community, where 57 PVI were depicted. This study uncovered the problems causing pandemic-related challenges and suggested the need for explicit guidelines that can make the prevention protocols accessible and inclusive for PVI, as this study indicates that accessibility can be easily missed under unforeseen situations like the COVID-19 pandemic.
AB - COVID-19 pandemic has spread globally and affected a large number of people. Previous studies collected online survey and interview data to raise awareness of requirements from people with visual impairments (PVI) under the COVID-19 pandemic, however, little has been observed in PVI's daily activities due to the suspension of face-to-face fieldwork. In this study, we utilized an innovative data source-YouTube videos to fill the vacancy of observation data in this specific topic. Compared to previous studies, we got more voices involved and gained a richer dataset by considering both videos from the visually impaired community where PVI are primary authors and news media videos where PVI are involved as active participants. Eventually, we collected 24 videos created by the visually impaired community and 27 videos from the news media community, where 57 PVI were depicted. This study uncovered the problems causing pandemic-related challenges and suggested the need for explicit guidelines that can make the prevention protocols accessible and inclusive for PVI, as this study indicates that accessibility can be easily missed under unforeseen situations like the COVID-19 pandemic.
UR - http://www.scopus.com/inward/record.url?scp=85138186666&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138186666&partnerID=8YFLogxK
U2 - 10.1145/3524458.3547224
DO - 10.1145/3524458.3547224
M3 - Conference contribution
AN - SCOPUS:85138186666
T3 - ACM International Conference Proceeding Series
SP - 218
EP - 224
BT - GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good
PB - Association for Computing Machinery
Y2 - 7 September 2022 through 9 September 2022
ER -