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• Combining Semantic Tools for Automatic Evaluation of Alternative Texts

  Carlos Duarte, Carlos M. Duarte, Luís Carriço · 2019 · Proceedings of the 16th International Web for All Conference (W4A)

  This paper presents SCREW v2, an updated algorithm for automatically assessing the quality of alternative texts for images on web pages from an accessibility perspective. The work is motivated by the EU Directive 2016/2102, which requires monitoring the accessibility of public…

  alternative text · automated accessibility testing · image accessibility · semantic analysis · computer vision

• X-Ray: Screenshot Accessibility via Embedded Metadata

  Sujeath Pareddy, Anhong Guo, Jeffrey P. Bigham · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This paper introduces X-Ray, a system that preserves the accessibility of user interface content when it is captured as a screenshot. Screenshots strip away all semantic information — text structure, element roles, states, labels, and navigation order — leaving only pixels that…

  screen readers · alternative text · screenshots · image accessibility · metadata

• Making Memes Accessible

  Cole Gleason, Amy Pavel, Xingyu Liu, Patrick Carrington, Lydia B. Chilton, Jeffrey P. Bigham · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This paper presents two semi-automatic methods for making internet image macro memes accessible to people with vision impairments: rich alternative text descriptions and audio macro memes. Memes are a pervasive form of online communication, yet they are almost entirely…

  alternative text · blind · low vision · social media · image accessibility

• "It's almost like they're trying to hide it": How User-Provided Image Descriptions Have Failed to Make Twitter Accessible

  Cole Gleason, Patrick Carrington, Cameron Cassidy, Meredith Ringel Morris, Kris M. Kitani, Jeffrey P. Bigham · 2019 · The World Wide Web Conference

  This paper presents the first large-scale empirical study of how Twitter's opt-in image description feature (launched in 2016) has affected the accessibility of images on the platform. The researchers analyzed 1.09 million tweets with images collected over five days in June…

  alternative text · social media accessibility · image accessibility · blindness · screen readers

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